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[
{
"id": "afonsoElectoralReligiousCorrelates2022",
"abstract": "Vaccination campaigns amid the coronavirus disease 2019 (COVID-19) pandemic have been extensively politicized in a number of countries. Controlling for a number of demographic, social and economic factors, we find a negative statistical relationship between the aggregate vote share of the populist-right wing Forum for Democracy and the vaccination rate against COVID-19 across Dutch municipalities. We also find a negative relationship between the proportion of individuals with reformed Protestant and Muslim religious beliefs. These relationships can possibly be related to religious worldviews or mistrust towards authority. These results show that the politicization of health behaviours can have detrimental effects on public health campaigns.",
"author": [
{ "family": "Afonso", "given": "Alexandre" },
{ "family": "Votta", "given": "Fabio" }
],
"citation-key": "afonsoElectoralReligiousCorrelates2022",
"container-title": "EUROPEAN JOURNAL OF PUBLIC HEALTH",
"DOI": "10.1093/eurpub/ckac112",
"ISSN": "1101-1262",
"issue": "6",
"issued": { "date-parts": [["2022", 11, 29]] },
"page": "985-987",
"title": "Electoral and religious correlates of COVID-19 vaccination rates in Dutch municipalities",
"type": "article-journal",
"volume": "32"
},
{
"id": "angelsenHealthinessEnvironmentalImpact2023",
"abstract": "Individuals' food choices are typically based on recipes, not specific ingredients. This study compares almost 600 dinner recipes from the UK, the USA and Norway in terms of healthiness and environmental impact-including adherence to dietary guidelines and aggregate health indicators, as well as greenhouse gas emissions and land use. Contrary to food ingredients, little is known about recipes' healthiness or environmental impact. Here we examine 600 dinner recipes from Norway, the UK and the USA retrieved from cookbooks and the Internet. Recipe healthiness was assessed by adherence to dietary guidelines and aggregate health indicators based on front-of-pack nutrient labels, while environmental impact was assessed through greenhouse gas emissions and land use. Our results reveal that recipe healthiness strongly depends on the healthiness indicator used, with more than 70% of the recipes being classified as healthy for at least one front-of-pack label, but less than 1% comply with all dietary guidelines. All healthiness indicators correlated positively with each other and negatively with environmental impact. Recipes from the USA, found to use more red meat, have a higher environmental impact than those from Norway and the UK.",
"author": [
{ "family": "Angelsen", "given": "Aslaug" },
{ "family": "Starke", "given": "Alain D." },
{ "family": "Trattner", "given": "Christoph" }
],
"citation-key": "angelsenHealthinessEnvironmentalImpact2023",
"container-title": "NATURE FOOD",
"DOI": "10.1038/s43016-023-00746-5",
"issue": "5",
"issued": { "date-parts": [["2023", 5]] },
"page": "407+",
"title": "Healthiness and environmental impact of dinner recipes vary widely across developed countries",
"type": "article-journal",
"volume": "4"
},
{
"id": "antsipavaWhatDrivesBlockchain2024",
"abstract": "This study examines factors that encourage and discourage blockchain technology adoption in the online advertising ecosystem from a multi-stakeholder perspective. Nineteen semi-structured interviews were conducted with experts and analysed through the lens of the Interactive Communication Technology Adoption Model (ICTAM) as a guiding framework. The findings reveal that all factors of the ICTAM (system, audience, social, technology, adoption, and use) influence blockchain adoption simultaneously and often in contradictory ways. This study has several contributions. It is among the first to investigate blockchain adoption in online advertising, and from a communication perspective. It extends the application of the ICTAM to a whole ecosystem perspective and identifies which factors are essential for successful blockchain adoption in online advertising. The study concludes that while blockchain technology is a promising solution to challenges afflicting online advertising, more education about blockchain's potential, favourable regulation, and ready-to-use applications are needed before wide-scale adoption can be realised.",
"author": [
{ "family": "Antsipava", "given": "Dasha" },
{ "family": "Strycharz", "given": "Joanna" },
{
"family": "Reijmersdal",
"given": "Eva A.",
"non-dropping-particle": "van"
},
{ "family": "Noort", "given": "Guda", "non-dropping-particle": "van" }
],
"citation-key": "antsipavaWhatDrivesBlockchain2024",
"container-title": "JOURNAL OF BUSINESS RESEARCH",
"DOI": "10.1016/j.jbusres.2023.114381",
"ISSN": "0148-2963",
"issued": { "date-parts": [["2024", 1]] },
"title": "What drives blockchain technology adoption in the online advertising ecosystem? An interview study into stakeholders' perspectives",
"type": "article-journal",
"volume": "171"
},
{
"id": "araujoAIWeTrust2020",
"abstract": "Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research aboutalgorithmic appreciationand algorithmic perceptions, the current study explores the extent to which personal characteristics can be linked to perceptions of automated decision-making by AI, and the boundary conditions of these perceptions, namely the extent to which such perceptions differ across media, (public) health, and judicial contexts. Data from a scenario-based survey experiment with a national sample (N = 958) show that people are by and large concerned about risks and have mixed opinions about fairness and usefulness of automated decision-making at a societal level, with general attitudes influenced by individual characteristics. Interestingly, decisions taken automatically by AI were often evaluatedon paror evenbetterthan human experts for specific decisions. Theoretical and societal implications about these findings are discussed.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Helberger", "given": "Natali" },
{ "family": "Kruikemeier", "given": "Sanne" },
{ "family": "Vreese", "given": "Claes H.", "non-dropping-particle": "de" }
],
"citation-key": "araujoAIWeTrust2020",
"container-title": "AI & SOCIETY",
"DOI": "10.1007/s00146-019-00931-w",
"ISSN": "0951-5666",
"issue": "3",
"issued": { "date-parts": [["2020", 9]] },
"page": "611-623",
"title": "In AI we trust? Perceptions about automated decision-making by artificial intelligence",
"type": "article-journal",
"volume": "35"
},
{
"id": "araujoAutomatedVisualContent2020",
"abstract": "The increasing volume of images published online in a wide variety of contexts requires communication researchers to address this reality by analyzing visual content at a large scale. Ongoing advances in computer vision to automatically detect objects, concepts, and features in images provide a promising opportunity for communication research. We propose a research protocol for Automated Visual Content Analysis (AVCA) to enable large-scale content analysis of images. It offers inductive and deductive ways to use commercial pre-trained models for theory building in communication science. Using the example of corporations' website images on sustainability, we show in a step-by-step fashion how to classify a large sample (N = 21,876) of images with unsupervised and supervised machine learning, as well as custom models. The possibilities and pitfalls of these approaches are discussed, ethical issues are addressed, and application examples for future communication research are detailed.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Lock", "given": "Irina" },
{ "family": "Velde", "given": "Bob", "non-dropping-particle": "van de" }
],
"citation-key": "araujoAutomatedVisualContent2020",
"container-title": "COMMUNICATION METHODS AND MEASURES",
"DOI": "10.1080/19312458.2020.1810648",
"ISSN": "1931-2458",
"issue": "4",
"issued": { "date-parts": [["2020", 10, 1]] },
"page": "239-265",
"title": "Automated Visual Content Analysis (AVCA) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models",
"type": "article-journal",
"volume": "14"
},
{
"id": "araujoCommunicatingEffectivelyCSR2018",
"abstract": "Purpose Corporate social responsibility (CSR) communication is becoming increasingly important for brands and companies. Social media such as Twitter may be platforms particularly suited to this topic, given their ability to foster dialogue and content diffusion. The purpose of this paper is to investigate factors driving the effectiveness of CSR communication on Twitter, with a focus on the communication strategies and elements of storytelling. Design/methodology/approach Using a sample of 281,291 tweets from top global companies in the food sector, automated content analysis (including supervised machine learning) was used to investigate the influence of CSR communication, emotion, and aspirational talk on the likelihood that Twitter users will retweet and like tweets from the companies. Findings The findings highlight the importance of aspirational talk and engaging users in CSR messages. Furthermore, the study revealed that the companies and brands on Twitter that tweeted more frequently about CSR were associated with higher overall levels of content diffusion and endorsement. Originality/value This study provides important insights into key aspects of communicating about CSR issues on social networking sites such as Twitter and makes several practical recommendations for companies.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Kollat", "given": "Jana" }
],
"citation-key": "araujoCommunicatingEffectivelyCSR2018",
"container-title": "INTERNET RESEARCH",
"DOI": "10.1108/IntR-04-2017-0172",
"ISSN": "1066-2243",
"issue": "2",
"issued": { "date-parts": [["2018"]] },
"page": "419-431",
"title": "Communicating effectively about CSR on Twitter: The power of engaging strategies and storytelling elements",
"type": "article-journal",
"volume": "28"
},
{
"id": "araujoFriendMeWhich2012",
"abstract": "Purpose - This study focuses on how brands participate in social network sites (SNSs) and investigates both the different strategies they adopt and the factors that influence these strategies. Design/methodology/approach - The activities of top brands in SNSs were investigated through a content analysis of brand web sites in three countries, measuring two primary dimensions: presence in SNSs and level of engagement which the brand hoped to establish with stakeholders. The study then built logistic regression models to understand which factors drive brands to adopt and use SNSs, using insights from previous studies related to internet innovation adoption cycles. Findings - The study confirmed that SNS adoption follows a general path of Internet innovation adoption by brands. Industry markets exert influence, with technology and consumer intensive brands being more likely than all other industry segments to be present in SNSs and to participate at higher engagement levels, while brands targeting younger audiences also engage at higher levels than brands targeting generic audiences. The country in which the brand operates plays a significant role in a brand's likelihood of adopting SNSs: web sites in the USA are more likely to use SNSs than other countries, even after controlling for factors such as pre-existing web operations or the headquarters being in the same country. It was also found that top brands operate in a global world, as shown by their preference for SNSs with global coverage compared to local SNS, even when the penetration rates of these local SNSs were higher. Originality/value - The paper advances research on SNS adoption by brands from an organizational standpoint, at a time when the majority of the top global brands actively promote such services.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Neijens", "given": "Peter" }
],
"citation-key": "araujoFriendMeWhich2012",
"container-title": "INTERNET RESEARCH",
"DOI": "10.1108/10662241211271581",
"ISSN": "1066-2243",
"issue": "5",
"issued": { "date-parts": [["2012"]] },
"page": "626-640",
"title": "Friend me: which factors influence top global brands participation in social network sites",
"type": "article-journal",
"volume": "22"
},
{
"id": "araujoGettingWordOut2017",
"abstract": "Using a sample of over 5300 tweets from top global brands, this study investigated how different types of users can influence brand content diffusion via retweets. Twitter users who influenced followers to retweet brand content were categorized as (1) influentials, because of their above average ability to influence others to retweet their tweets (in general), (2) information brokers, because of their position connecting groups of users or (3) having strong ties, because of their high percentage of friends in common and a mutual friend follower relationship with the influenced follower. The results indicate that influentials and information brokers are associated with larger number of retweets for brand content. In addition, although information brokers have a larger overall influence on retweeting, they are more prone to do so when influentials are mentioned in the brand tweet, providing support for the strategy that aims to associate the brand with influential users.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Neijens", "given": "Peter" },
{ "family": "Vliegenthart", "given": "Rens" }
],
"citation-key": "araujoGettingWordOut2017",
"container-title": "INTERNATIONAL JOURNAL OF ADVERTISING",
"DOI": "10.1080/02650487.2016.1173765",
"ISSN": "0265-0487",
"issue": "3",
"issued": { "date-parts": [["2017"]] },
"page": "496-513",
"title": "Getting the word out on Twitter: the role of influentials, information brokers and strong ties in building word-of-mouth for brands",
"type": "article-journal",
"volume": "36"
},
{
"id": "araujoHowMuchTime2017",
"abstract": "Given the importance of survey measures of online media use for communication research, it is crucial to assess and improve their quality, in particular because the increasingly fragmented and ubiquitous usage of internet complicates the accuracy of self-reported measures. This study contributes to the discussion regarding the accuracy of self-reported internet use by presenting relevant factors potentially affecting biases of self-reports and testing survey design strategies to improve accuracy. Combining automatic tracking data and survey data from the same participants (N = 690) confirmed low levels of accuracy and tendencies of over-reporting. The analysis revealed biases due to a range of factors associated with the intensity of (actual) internet usage, propensity to multitask, day of reference, and the usage of mobile devices. An anchoring technique could not be proved to reduce inaccuracies of reporting behavior. Several recommendations for research practice follow from these findings.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Wonneberger", "given": "Anke" },
{ "family": "Neijens", "given": "Peter" },
{ "family": "Vreese", "given": "Claes", "non-dropping-particle": "de" }
],
"citation-key": "araujoHowMuchTime2017",
"container-title": "COMMUNICATION METHODS AND MEASURES",
"DOI": "10.1080/19312458.2017.1317337",
"ISSN": "1931-2458",
"issue": "3",
"issued": { "date-parts": [["2017"]] },
"page": "173-190",
"title": "How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use",
"type": "article-journal",
"volume": "11"
},
{
"id": "araujoHumansVsAI2023",
"abstract": "Automated decision making (ADM) is increasingly prominent in our experiences with communication technologies and more broadly in our society. Understanding what drives individual perceptions of AI is crucial. This study presents the results of a survey across 10 European countries (N = 6,643), confirming trust and political attitudes as general drivers of perceptions of AI, especially in the media sector. Individuals who score higher on institutional trust are more positive about AI for news recommendations and user and content moderation. Conversely, individuals with higher media trust are more negative about AI for news (creation or recommendation). Those leaning toward the right-wing political orientation are more positive about AI for news, whereas those more distant from the political center are more negative about AI-for media-specific tasks and for society more broadly. Sociodemographics, the need for cognition, privacy concerns, and online self-efficacy are also relevant in these evaluations.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Brosius", "given": "Anna" },
{ "family": "Goldberg", "given": "Andreas C." },
{ "family": "Moeller", "given": "Judith" },
{ "family": "Vreese", "given": "Claes H.", "non-dropping-particle": "de" }
],
"citation-key": "araujoHumansVsAI2023",
"container-title": "INTERNATIONAL JOURNAL OF COMMUNICATION",
"ISSN": "1932-8036",
"issued": { "date-parts": [["2023"]] },
"page": "6222-6249",
"title": "Humans vs. AI: The Role of Trust, Political Attitudes, and Individual Characteristics on Perceptions about Automated Decision Making Across Europe",
"type": "article-journal",
"volume": "17"
},
{
"id": "araujoImpactSharingBrand2019",
"abstract": "Social Networking Sites (SNSs) not only enable users to read or create content about brands, but also to easily pass along this content using information diffusion mechanisms such as retweeting or sharing. While these capabilities can be optimal for viral marketing, little is known, however, about how reading brand messages passed along by SNS contacts influences online brand communication outcomes. Results of a survey with active SNS users indicate that (1) message evaluation, (2) the relationship with the sender, and (3) the receiver's opinion leadership and opinion-seeking levels influence not only the receiver's intention to pass along the message further, but also his or her attitude towards the brand. The implications of these findings are discussed, including how these capabilities brought on by SNSs change the brand-consumer relationship online.",
"author": [{ "family": "Araujo", "given": "Theo" }],
"citation-key": "araujoImpactSharingBrand2019",
"container-title": "COMMUNICATIONS-EUROPEAN JOURNAL OF COMMUNICATION RESEARCH",
"DOI": "10.1515/commun-2018-2004",
"ISSN": "0341-2059",
"issue": "2",
"issued": { "date-parts": [["2019", 6]] },
"page": "162-184",
"title": "The impact of sharing brand messages: How message, sender and receiver characteristics influence brand attitudes and information diffusion on Social Networking Sites",
"type": "article-journal",
"volume": "44"
},
{
"id": "araujoLargePlaygroundExamining2022",
"abstract": "This study explores the short- and long-term expectations about adoption of conversational agents in the organizational frontline. Drawing from in-depth interviews with managers and developers in organizations that have implemented these agents, it sheds light on how the deployment of and collaboration with technology-based autonomous agents influences service activities, and expectations of changes in organizational processes. The interviews revealed that implementations are done on a rather iterative and experimental basis, often balancing the current limits of technology while aiming at improved efficiency, augmenting the work of frontline employees, and meeting the ever-growing demands from consumers.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Zoonen", "given": "Ward", "non-dropping-particle": "van" },
{
"family": "Hoeven",
"given": "Claartje",
"non-dropping-particle": "ter"
}
],
"citation-key": "araujoLargePlaygroundExamining2022",
"container-title": "INTERNATIONAL JOURNAL OF INNOVATION AND TECHNOLOGY MANAGEMENT",
"DOI": "10.1142/S0219877022500249",
"ISSN": "0219-8770",
"issue": "07",
"issued": { "date-parts": [["2022", 11]] },
"title": "“A Large Playground”: Examining the Current State and Implications of Conversational Agent Adoption in Organizations",
"type": "article-journal",
"volume": "19"
},
{
"id": "araujoLivingChatbotHype2018",
"abstract": "Disembodied conversational agents in the form of chatbots are increasingly becoming a reality on social media and messaging applications, and are a particularly pressing topic for service encounters with companies. Adopting an experimental design with actual chatbots powered with current technology, this study explores the extent to which human-like cues such as language style and name, and the framing used to introduce the chatbot to the consumer can influence perceptions about social presence as well as mindful and mindless anthropomorphism. Moreover, this study investigates the relevance of anthropomorphism and social presence to important company-related outcomes, such as attitudes, satisfaction and the emotional connection that consumers feel with the company after interacting with the chatbot. (C) 2018 Elsevier Ltd. All rights reserved.",
"author": [{ "family": "Araujo", "given": "Theo" }],
"citation-key": "araujoLivingChatbotHype2018",
"container-title": "COMPUTERS IN HUMAN BEHAVIOR",
"DOI": "10.1016/j.chb.2018.03.051",
"ISSN": "0747-5632",
"issued": { "date-parts": [["2018", 8]] },
"page": "183-189",
"title": "Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions",
"type": "article-journal",
"volume": "85"
},
{
"id": "araujoNewsValuesSocial2020",
"abstract": "Since news circulation increasingly takes place online, the public has gained the capacity to influence the salience of topics on the agenda, especially when it comes to social media. Considering increased scrutiny about organizations, this study aims to understand what causes heightened activity to organization-related topics among Twitter users. We explore the extent to which news value theory, news coverage, and influential actors can explain peaks in Twitter activity about organizations. Based on a dataset of 1.8 million tweets about 18 organizations, the findings show that the news values social impact, geographical closeness, facticity, as well as certain influential actors, can explain the intensity of online activities. Moreover, the results advocate for a more nuanced understanding of the relation between news media and social media users, as indications of reversed agenda-setting patterns were observed.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{
"family": "Meer",
"given": "Toni G. L. A.",
"non-dropping-particle": "van der"
}
],
"citation-key": "araujoNewsValuesSocial2020",
"container-title": "JOURNALISM",
"DOI": "10.1177/1464884918809299",
"ISSN": "1464-8849",
"issue": "5, SI",
"issued": { "date-parts": [["2020", 5]] },
"page": "633-651",
"title": "News values on social media: Exploring what drives peaks in user activity about organizations on Twitter",
"type": "article-journal",
"volume": "21"
},
{
"id": "araujoPurchasingExposureFostering2020",
"abstract": "Over the past 40 years, we have witnessed seismic shifts in advertising planning and buying processes. Due in no small part to the emergence of digital media, consumer choices have mushroomed, while advertisers understand much more about target audiences. Advertising activities have been drastically transformed by the possibilities that technology creates for targeting and measurement, automation of activities via programmatic advertising, and an overall computational approach in which algorithmic, data-driven decisions dominate. In this era, what does it mean to “do media planning” and to do it well? The present article argues for planning decisions to move away from simply purchasing exposure to instead focusing on fostering engagement through meaningful and sustained interactions with consumers. It provides an overview of the digital ecosystem that makes computational advertising possible, updates the notion of consumer engagement for this context, and reviews how measurement becomes more central to media planning decisions. Ethical and normative considerations and computational advertising as an adaptive learning system are discussed as crosscutting issues, followed by a proposed research agenda.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Copulsky", "given": "Jonathan R." },
{ "family": "Hayes", "given": "Jameson L." },
{ "family": "Kim", "given": "Su Jung" },
{ "family": "Srivastava", "given": "Jaideep" }
],
"citation-key": "araujoPurchasingExposureFostering2020",
"container-title": "JOURNAL OF ADVERTISING",
"DOI": "10.1080/00913367.2020.1795756",
"ISSN": "0091-3367",
"issue": "4",
"issued": { "date-parts": [["2020", 8, 7]] },
"page": "428-445",
"title": "From Purchasing Exposure to Fostering Engagement: Brand-Consumer Experiences in the Emerging Computational Advertising Landscape",
"type": "article-journal",
"volume": "49"
},
{
"id": "araujoWhatMotivatesConsumers2015",
"abstract": "How do certain cues influence pass-along behavior (re-Tweeting) of brand messages on Twitter? Analyzing 19,343 global brand messages over a three-year period, the authors of this article found that informational cues were predictors of higher levels of re-Tweeting, particularly product details and links to a brand's website, social network sites, and photos or videos. And, although emotional cues did not influence re-Tweeting on their own, they reinforced the effects of informational cues and traceability cues (hashtags) when combined in the same message. In other words, Twitter users especially are interested in messages that are rich in informational content.",
"author": [
{ "family": "Araujo", "given": "Theo" },
{ "family": "Neijens", "given": "Peter" },
{ "family": "Vliegenthart", "given": "Rens" }
],
"citation-key": "araujoWhatMotivatesConsumers2015",
"container-title": "JOURNAL OF ADVERTISING RESEARCH",
"DOI": "10.2501/JAR-2015-009",
"ISSN": "0021-8499",
"issue": "3",
"issued": { "date-parts": [["2015", 9]] },
"page": "284-295",
"title": "What Motivates Consumers To Re-Tweet Brand Content? The Impact of Information, Emotion, And Traceability on Pass-Along Behavior",
"type": "article-journal",
"volume": "55"
},
{
"id": "aslettWhatWasProblem2022",
"abstract": "Agenda setting and issue framing research investigates how frames impact public attention, policy decisions, and political outcomes. Social media sites, such as Twitter, provide opportunities to study framing dynamics in an important area of political discourse. We present a method for identifying frames in tweets and measuring their effectiveness. We use topic modeling combined with manual validation to identify recurrent problem frames and topics in thousands of tweets by gun rights and gun control groups following the Marjory Stoneman Douglas High School in Parkland, Florida, shooting. We find that each side used Twitter to advance policy narratives about the problem in Parkland. Gun rights groups' narratives implied that more gun restrictions were not the solution. Their most effective frame focused on officials' failures to enforce existing laws. In contrast, gun control groups portrayed easy access to guns as the problem and emphasized the importance of mobilizing politically to force change.",
"author": [
{ "family": "Aslett", "given": "Kevin" },
{ "family": "Williams", "given": "Nora Webb" },
{ "family": "Casas", "given": "Andreu" },
{ "family": "Zuidema", "given": "Wesley" },
{ "family": "Wilkerson", "given": "John" }
],
"citation-key": "aslettWhatWasProblem2022",
"container-title": "POLICY STUDIES JOURNAL",
"DOI": "10.1111/psj.12410",
"ISSN": "0190-292X",
"issue": "1",
"issued": { "date-parts": [["2022", 2]] },
"page": "266-289",
"title": "What Was the Problem in Parkland? Using Social Media to Measure the Effectiveness of Issue Frames",
"type": "article-journal",
"volume": "50"
},
{
"id": "badenThreeGapsComputational2022",
"abstract": "We identify three gaps that limit the utility and obstruct the progress of computational text analysis methods (CTAM) for social science research. First, we contend that CTAM development has prioritized technological over validity concerns, giving limited attention to the operationalization of social scientific measurements. Second, we identify a mismatch between CTAMs' focus on extracting specific contents and document-level patterns, and social science researchers' need for measuring multiple, often complex contents in the text. Third, we argue that the dominance of English language tools depresses comparative research and inclusivity toward scholarly communities examining languages other than English. We substantiate our claims by drawing upon a broad review of methodological work in the computational social sciences, as well as an inventory of leading research publications using quantitative textual analysis. Subsequently, we discuss implications of these three gaps for social scientists' uneven uptake of CTAM, as well as the field of computational social science text research as a whole. Finally, we propose a research agenda intended to bridge the identified gaps and improve the validity, utility, and inclusiveness of CTAM.",
"author": [
{ "family": "Baden", "given": "Christian" },
{ "family": "Pipal", "given": "Christian" },
{ "family": "Schoonvelde", "given": "Martijn" },
{
"family": "Velden",
"given": "Mariken A. C. G.",
"non-dropping-particle": "van der"
}
],
"citation-key": "badenThreeGapsComputational2022",
"container-title": "COMMUNICATION METHODS AND MEASURES",
"DOI": "10.1080/19312458.2021.2015574",
"ISSN": "1931-2458",
"issue": "1",
"issued": { "date-parts": [["2022", 1, 2]] },
"page": "1-18",
"title": "Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda",
"type": "article-journal",
"volume": "16"
},
{
"id": "ballardBeCarefulWhat2021",
"abstract": "We analyze the effects of President Trump's endorsements on House and Senate elections in 2018. Previous work has argued that presidential endorsements are usually positive or, at worst, neutral for the recipient candidates. We find that President Trump was more likely to endorse candidates with a higher pre-endorsement likelihood of winning and to endorse candidates in more competitive races, suggesting the president used endorsements strategically both to try and help Republican candidates win and to boost his reputation for helping candidates win. However, while President Trump's public endorsements provided a financial boost to endorsed candidates, they also increased donor support of opposing candidates and were ultimately detrimental to candidates' vote shares and likelihood of winning. This work provides evidence for potential backlash effects among opposition voters in response to presidential endorsement in a nationalized political environment and expands our understanding of the impact of presidential campaigning in congressional midterm elections.",
"author": [
{ "family": "Ballard", "given": "Andrew O." },
{ "family": "Hassell", "given": "Hans J. G." },
{ "family": "Heseltine", "given": "Michael" }
],
"citation-key": "ballardBeCarefulWhat2021",
"container-title": "LEGISLATIVE STUDIES QUARTERLY",
"DOI": "10.1111/lsq.12284",
"ISSN": "0362-9805",
"issue": "2",
"issued": { "date-parts": [["2021", 5]] },
"page": "459-491",
"title": "Be Careful What You Wish For: The Impacts of President Trump's Midterm Endorsements",
"type": "article-journal",
"volume": "46"
},
{
"id": "ballardDynamicsPolarizingRhetoric2023",
"abstract": "Affective polarization is pervasive in modern US politics, and can be intensified by strategic messaging from members of Congress. But there are gaps in our knowledge of the dynamics of polarizing appeals from elected representatives on social media. We explore the usage of polarizing rhetoric by members of Congress on Twitter using the 4.9 million tweets sent by members of Congress from 2009 to 2020, coded for the presence of polarizing rhetoric via a novel and highly accurate application of supervised machine learning methods. Fitting with our expectations, we find that more ideologically extreme members, those from safer districts, and those who are not in the president's party are more likely to send polarizing tweets, and that polarizing tweets garner more engagement, increasing campaign funding for more polarizing members.",
"author": [
{ "family": "Ballard", "given": "Andrew O." },
{ "family": "DeTamble", "given": "Ryan" },
{ "family": "Dorsey", "given": "Spencer" },
{ "family": "Heseltine", "given": "Michael" },
{ "family": "Johnson", "given": "Marcus" }
],
"citation-key": "ballardDynamicsPolarizingRhetoric2023",
"container-title": "LEGISLATIVE STUDIES QUARTERLY",
"DOI": "10.1111/lsq.12374",
"ISSN": "0362-9805",
"issue": "1",
"issued": { "date-parts": [["2023", 2]] },
"page": "105-144",
"title": "Dynamics of Polarizing Rhetoric in Congressional Tweets",
"type": "article-journal",
"volume": "48"
},
{
"id": "ballardIncivilityCongressionalTweets2022",
"abstract": "Civility in political discourse is often thought to be necessary for deliberation and a healthy democracy. However, incivility is on the rise in political discourse in the United States-even from members of Congress-suggesting that political incivility may in fact be a tool to be used strategically. When and why, then, do members of Congress use incivility in their rhetoric? We develop and test expectations for the usage of political incivility by members of Congress on Twitter, using every tweet sent by a member of Congress from 2009-2020 coded for the presence of uncivil rhetoric via a novel application of transformer models for natural language processing. We find that more ideologically extreme members, those in safer electoral situations, and those who are in a position of political opposition are more likely to use incivility in their tweets, and that uncivil tweets increase engagement with members' messages.",
"author": [
{ "family": "Ballard", "given": "Andrew" },
{ "family": "DeTamble", "given": "Ryan" },
{ "family": "Dorsey", "given": "Spencer" },
{ "family": "Heseltine", "given": "Michael" },
{ "family": "Johnson", "given": "Marcus" }
],
"citation-key": "ballardIncivilityCongressionalTweets2022",
"container-title": "AMERICAN POLITICS RESEARCH",
"DOI": "10.1177/1532673X221109516",
"ISSN": "1532-673X",
"issue": "6",
"issued": { "date-parts": [["2022", 11]] },
"page": "769-780",
"title": "Incivility in Congressional Tweets",
"type": "article-journal",
"volume": "50"
},
{
"id": "banaiPollsTrendsTrendsPublic2022",
"abstract": "This article presents trends in public opinion toward immigration in the European Union (EU), between 2002 and 2018. Immigration is a salient and contentious issue in contemporary politics across Europe and is used by Eurosceptic parties in both government and opposition to mobilize support. Public opinion data-drawn from the European Social Survey and the Eurobarometer-reveals the following noteworthy trends over the past two decades. First, positive public attitudes toward immigration have increased across member states, with a temporary setback in 2015-16. Second, immigration is a divisive issue throughout the EU. While public opinion in some regions generally favors immigration, opinion is divided everywhere. Third, despite regional variations between northern, western, and southern Europe, EU-wide trends suggest the emergence of a collective public opinion, crossing national borders. Fourth, despite vocal political opposition to immigration, solid majorities of the public view immigration favorably over time and across regions. To the numerous studies of European public opinion on immigration, this article contributes a useful overview of the long-term trends, with regional and EU-wide presentation and data visualization.",
"author": [
{ "family": "Banai", "given": "Ayelet" },
{ "family": "Votta", "given": "Fabio" },
{ "family": "Seitz", "given": "Rosa" }
],
"citation-key": "banaiPollsTrendsTrendsPublic2022",
"container-title": "PUBLIC OPINION QUARTERLY",
"DOI": "10.1093/poq/nfac001",
"ISSN": "0033-362X",
"issue": "1",
"issued": { "date-parts": [["2022", 3, 18]] },
"page": "191-215",
"title": "The Polls-Trends Trends in Public Opinion toward Immigration among EU Member States",
"type": "article-journal",
"volume": "86"
},
{
"id": "barberaWhoLeadsWho2019",
"abstract": "Are legislators responsive to the priorities of the public? Research demonstrates a strong correspondence between the issues about which the public cares and the issues addressed by politicians, but conclusive evidence about who leads whom in setting the political agenda has yet to be uncovered. We answer this question with fine-grained temporal analyses of Twitter messages by legislators and the public during the 113thUSCongress. After employing an unsupervised methodthat classifies tweets sent by legislators and citizens into topics, we use vector autoregression models to explore whose priorities more strongly predict the relationship between citizens and politicians. We find that legislators are more likely to follow, than to lead, discussion of public issues, results that hold even after controlling for the agenda-setting effects of the media. We also find, however, that legislators are more likely to be responsive to their supporters than to the general public.",
"author": [
{ "family": "Barbera", "given": "Pablo" },
{ "family": "Casas", "given": "Andreu" },
{ "family": "Nagler", "given": "Jonathan" },
{ "family": "Egan", "given": "Patrick J." },
{ "family": "Bonneau", "given": "Richard" },
{ "family": "Jost", "given": "John T." },
{ "family": "Tucker", "given": "Joshua A." }
],
"citation-key": "barberaWhoLeadsWho2019",
"container-title": "AMERICAN POLITICAL SCIENCE REVIEW",
"DOI": "10.1017/S0003055419000352",
"ISSN": "0003-0554",
"issue": "4",
"issued": { "date-parts": [["2019", 11]] },
"page": "883-901",
"title": "Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data",
"type": "article-journal",
"volume": "113"
},
{
"id": "bauerMindfulInstantMessaging2017",
"abstract": "The number of smartphone users surpassed two billion in 2016; the most popular applications are instant messengers. However, research about benefits and risks for users has yielded contradictory findings and indicates that the relation between smartphone use and well-being depends on many conditions. We propose mindfulness as a predictor of well-being related to instant messaging. In our study, 211 participants answered short questionnaires on the evenings of five consecutive days. Multilevel analyses showed that a mindful use of instant messaging was positively related to users' well-being, as indicated by more positive affect and less stress related to instant messaging. Moreover, the relation between day-specific mindfulness and well-being was statistically mediated by a more autonomous motivation to use instant messengers.",
"author": [
{ "family": "Bauer", "given": "Arne A." },
{ "family": "Loy", "given": "Laura S." },
{ "family": "Masur", "given": "Philipp K." },
{ "family": "Schneider", "given": "Frank M." }
],
"citation-key": "bauerMindfulInstantMessaging2017",
"container-title": "JOURNAL OF MEDIA PSYCHOLOGY-THEORIES METHODS AND APPLICATIONS",
"DOI": "10.1027/1864-1105/a000225",
"ISSN": "1864-1105",
"issue": "3, SI",
"issued": { "date-parts": [["2017"]] },
"page": "159-165",
"title": "Mindful Instant Messaging Mindfulness and Autonomous Motivation as Predictors of Well-Being in Smartphone Communication",
"type": "article-journal",
"volume": "29"
},
{
"id": "bazarovaIntegrationIndividualisticNetworked2020",
"abstract": "In this paper, we review three different approaches to disclosure and privacy: a) an individualistic approach, which emphasizes an individual's control over information access and flow, b) a networked approach focused on information flow in horizontal relations between people, and c) an institutional approach concerned with public and societal privacy risks from platforms, providers, and governments. These approaches coexist largely independently of each other in privacy and disclosure literature. However, with overlapping public and private spheres of communication where a presumption of individual agency over personal information is no longer tenable, we argue for the importance of bridging these perspectives towards a more multifaceted view on online disclosure and privacy in a networked ecology.",
"author": [
{ "family": "Bazarova", "given": "Natalya N." },
{ "family": "Masur", "given": "Philipp K." }
],
"citation-key": "bazarovaIntegrationIndividualisticNetworked2020",
"container-title": "CURRENT OPINION IN PSYCHOLOGY",
"DOI": "10.1016/j.copsyc.2020.05.004",
"ISSN": "2352-250X",
"issued": { "date-parts": [["2020", 12]] },
"page": "118-123",
"title": "Towards an integration of individualistic, networked, and institutional approaches to online disclosure and privacy in a networked ecology",
"type": "article-journal",
"volume": "36"
},
{
"id": "beukeboomNegationBiasStereotype2020",
"abstract": "Research on linguistic biases shows that stereotypic expectancies are implicitly reflected in language and thereby subtly communicated to message recipients. Research on the Negation Bias shows that the use of negations (e.g., not stupid vs. smart) is more pronounced in descriptions of stereotype-inconsistent compared with stereotype-consistent behaviors. This article reports a replication study of the original research conducted in Dutch, using newly developed materials, and in five different languages: English, Dutch, Hungarian, Finnish, and Serbian. The results validate the existence of the Negation Bias in all five languages. This suggests that negation use serves a similar stereotype-maintaining function across language families.",
"author": [
{ "family": "Beukeboom", "given": "Camiel J." },
{ "family": "Burgers", "given": "Christian" },
{ "family": "Szabo", "given": "Zsolt P." },
{ "family": "Cvejic", "given": "Slavica" },
{ "family": "Lonnqvist", "given": "Jan-Erik M." },
{ "family": "Welbers", "given": "Kasper" }
],
"citation-key": "beukeboomNegationBiasStereotype2020",
"container-title": "JOURNAL OF LANGUAGE AND SOCIAL PSYCHOLOGY",
"DOI": "10.1177/0261927X19869759",
"ISSN": "0261-927X",
"issue": "2",
"issued": { "date-parts": [["2020", 3]] },
"page": "219-236",
"title": "The Negation Bias in Stereotype Maintenance: A Replication in Five Languages",
"type": "article-journal",
"volume": "39"
},
{
"id": "bischofUseUsefulnessPValues2019",
"author": [
{ "family": "Bischof", "given": "Daniel" },
{ "family": "Van der Velden", "given": "Mariken" }
],
"citation-key": "bischofUseUsefulnessPValues2019",
"container-title": "SWISS POLITICAL SCIENCE REVIEW",
"DOI": "10.1111/spsr.12376",
"ISSN": "1424-7755",
"issued": { "date-parts": [["2019", 11, 6]] },
"title": "The Use and Usefulness of <i>p</i>-Values in Political Science: Introduction",
"type": "article-journal"
},
{
"id": "boermanHowCanWe2023",
"abstract": "This study investigates which intervention strategies most effectively increase privacy protection behavior. Drawing upon Protection Motivation Theory, we examine the short- and long-term effects of (combinations) of three strategies: (1) increasing awareness of the threat to privacy, (2) training effective privacy protection behavior, and (3) addressing and combating privacy fatigue. We conducted a longitudinal experiment in the Netherlands with three waves (N-wave1 = 1,000, 2 weeks later N-wave2 = 799, 2 months later N-wave3 = 465) and eight between subjects conditions (no strategy and all possible combinations of the strategies). Results show that the training strategy increased self-efficacy and response efficacy, immediately increased all privacy protection behaviors, and positively impacted tracking blocking behavior in the short- and long-term, actual cookie rejection in the short-term (2 weeks later), and deletion behavior in the long-term (2 months later). The threat and fatigue strategies did not have their anticipated effects, but the threat strategy did immediately increase tracking blocking intentions, and the fatigue strategy had a positive, short-term effect on cookie rejection behavior.",
"author": [
{ "family": "Boerman", "given": "Sophie C." },
{ "family": "Strycharz", "given": "Joanna" },
{ "family": "Smit", "given": "Edith G." }
],
"citation-key": "boermanHowCanWe2023",
"container-title": "COMMUNICATION RESEARCH",
"DOI": "10.1177/00936502231177786",
"ISSN": "0093-6502",
"issued": { "date-parts": [["2023", 6, 12]] },
"title": "How Can We Increase Privacy Protection Behavior? A Longitudinal Experiment Testing Three Intervention Strategies",
"type": "article-journal"
},
{
"id": "bolUnderstandingEffectsPersonalization2018",
"abstract": "The privacy calculus suggests that online self-disclosure is based on a cost-benefit trade-off. However, although companies progressively collect information to offer tailored services, the effect of both personalization and context-dependency on self-disclosure has remained understudied. Building on the privacy calculus, we hypothesized that benefits, privacy costs, and trust would predict online self-disclosure. Moreover, we analyzed the impact of personalization, investigating whether effects would differ for health, news, and commercial websites. Results from an online experiment using a representative Dutch sample (N = 1,131) supported the privacy calculus,revealing that it was stable across contexts. Personalization decreased trust slightly and benefits marginally. Interestingly, these effects were context-dependent: While personalization affected outcomes in news and commerce contexts, no effects emerged in the health context.",
"author": [
{ "family": "Bol", "given": "Nadine" },
{ "family": "Dienlin", "given": "Tobias" },
{ "family": "Kruikemeier", "given": "Sanne" },
{ "family": "Sax", "given": "Marijn" },
{ "family": "Boerman", "given": "Sophie C." },
{ "family": "Strycharz", "given": "Joanna" },
{ "family": "Helberger", "given": "Natali" },
{ "family": "Vreese", "given": "Claes H.", "non-dropping-particle": "de" }
],
"citation-key": "bolUnderstandingEffectsPersonalization2018",
"container-title": "JOURNAL OF COMPUTER-MEDIATED COMMUNICATION",
"DOI": "10.1093/jcmc/zmy020",
"ISSN": "1083-6101",
"issue": "6",
"issued": { "date-parts": [["2018", 11]] },
"page": "370-388",
"title": "Understanding the Effects of Personalization as a Privacy Calculus: Analyzing Self-Disclosure Across Health, News, and Commerce Contexts",
"type": "article-journal",
"volume": "23"
},
{
"id": "bolVulnerabilityTrackedSociety2020",
"abstract": "While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assesswhogets targeted withwhatcontent. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded content on Facebook. Findings suggest that social media use sophisticated algorithms to target specific groups of users, especially in the context of gender-stereotyping and health. Health-related content was predominantly targeted at older users, females, and at those with higher levels of trust in online companies, as well as those in poorer health conditions. This study provides a first indication of unfair targeting that reinforces stereotypes and creates inequalities, and suggests rethinking the impact of algorithmic targeting in creating new forms of individual and societal vulnerabilities.",
"author": [
{ "family": "Bol", "given": "Nadine" },
{ "family": "Strycharz", "given": "Joanna" },
{ "family": "Helberger", "given": "Natali" },
{ "family": "Velde", "given": "Bob", "non-dropping-particle": "van de" },
{ "family": "Vreese", "given": "Claes H.", "non-dropping-particle": "de" }
],
"citation-key": "bolVulnerabilityTrackedSociety2020",
"container-title": "NEW MEDIA & SOCIETY",
"DOI": "10.1177/1461444820924631",
"ISSN": "1461-4448",
"issue": "11, SI",
"issued": { "date-parts": [["2020", 11]] },
"page": "1996-2017",
"title": "Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content",
"type": "article-journal",
"volume": "22"
},
{
"id": "borgesiusShouldWeWorry2016",
"abstract": "Some fear that personalised communication can lead to information cocoons or filter bubbles. For instance, a personalised news website could give more prominence to conservative or liberal media items, based on the (assumed) political interests of the user. As a result, users may encounter only a limited range of political ideas. We synthesise empirical research on the extent and effects of self-selected personalisation, where people actively choose which content they receive, and pre-selected personalisation, where algorithms personalise content for users without any deliberate user choice. We conclude that at present there is little empirical evidence that warrants any worries about filter bubbles.",
"author": [
{ "family": "Borgesius", "given": "Frederik J. Zuiderveen" },
{ "family": "Trilling", "given": "Damian" },
{ "family": "Moller", "given": "Judith" },
{ "family": "Bodo", "given": "Balazs" },
{
"family": "Vreese",
"given": "Claes H.",
"non-dropping-particle": "de"
},
{ "family": "Helberger", "given": "Natali" }
],
"citation-key": "borgesiusShouldWeWorry2016",
"container-title": "INTERNET POLICY REVIEW",
"DOI": "10.14763/2016.1.401",
"ISSN": "2197-6775",
"issue": "1, SI",
"issued": { "date-parts": [["2016", 3]] },
"title": "Should we worry about filter bubbles?",
"type": "article-journal",
"volume": "5"
},
{
"id": "boukesComparingUsercontentInteractivity2022",
"abstract": "Normative theory on the functioning of the public sphere requires citizens to actively engage with the information that is provided to them. For a long time, however, the possibilities of user-content interactivity have been limited due to the one-directionality of the traditional mass media. Moreover, a re-occurring question is to what extent less-versus-more entertaining forms of news evoke audience engagement. This study analyzes the user-content engagement on online platforms in response to journalistic content and infotainment; more concretely, we compare whether the satire genre is more likely to evoke user-content interactivity than regular news and partisan news shows. To test our hypotheses, a large-scale data analysis of social media posts by a wide variety of American TV shows on Facebook, YouTube, and Twitter has been conducted. Results demonstrate satire's potential to encourage user-content interactivity: Satire videos generated (a) more likes and (b) more comments than the clips of regular news. However, we also find that (c) satire videos are related to less controversy, which arguably indicates that satire hampers the exchange of diverse ideas. Compared to partisan news - which shares many features of satire, but often lacks the humor component - satire elicits more likes but less commentary and less controversy.",
"author": [
{ "family": "Boukes", "given": "Mark" },
{ "family": "Chu", "given": "Xiaotong" },
{ "family": "Noon", "given": "M. F. Abdulqadir" },
{ "family": "Liu", "given": "Rufei" },
{ "family": "Araujo", "given": "Theo" },
{ "family": "Kroon", "given": "Anne C." }
],
"citation-key": "boukesComparingUsercontentInteractivity2022",
"container-title": "JOURNAL OF INFORMATION TECHNOLOGY & POLITICS",
"DOI": "10.1080/19331681.2021.1927928",
"ISSN": "1933-1681",
"issue": "1",
"issued": { "date-parts": [["2022", 1, 2]] },
"page": "98-117",
"title": "Comparing user-content interactivity and audience diversity across news and satire: differences in online engagement between satire, regular news and partisan news",
"type": "article-journal",
"volume": "19"
},
{
"id": "boukesWhatToneEasy2020",
"abstract": "This article scrutinizes the method of automated content analysis to measure the tone of news coverage. We compare a range of off-the-shelf sentiment analysis tools to manually coded economic news as well as examine the agreement between these dictionary approaches themselves. We assess the performance of five off-the-shelf sentiment analysis tools and two tailor-made dictionary-based approaches. The analyses result in five conclusions. First, there is little overlap between the off-the-shelf tools; causing wide divergence in terms of tone measurement. Second, there is no stronger overlap with manual coding for short texts (i.e., headlines) than for long texts (i.e., full articles). Third, an approach that combines individual dictionaries achieves a comparably good performance.?Fourth, precision may increase to acceptable levels at higher levels of granularity. Fifth, performance of dictionary approaches depends more on the number of relevant keywords in the dictionary than on the number of valenced words as such; a small tailor-made lexicon was not inferior to large established dictionaries. Altogether, we conclude that off-the-shelf sentiment analysis tools are mostly unreliable and unsuitable for research purposes ? at least in the context of Dutch economic news ? and manual validation for the specific language, domain, and genre of the research project at hand is always warranted.",
"author": [
{ "family": "Boukes", "given": "Mark" },
{ "family": "Velde", "given": "Bob", "non-dropping-particle": "van de" },
{ "family": "Araujo", "given": "Theo" },
{ "family": "Vliegenthart", "given": "Rens" }
],
"citation-key": "boukesWhatToneEasy2020",
"container-title": "COMMUNICATION METHODS AND MEASURES",
"DOI": "10.1080/19312458.2019.1671966",
"ISSN": "1931-2458",
"issue": "2",
"issued": { "date-parts": [["2020", 4, 2]] },
"page": "83-104",
"title": "What?s the Tone? Easy Doesn?t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools",
"type": "article-journal",
"volume": "14"
},
{
"id": "boumansAgencyMakesOnline2018",
"abstract": "While it is generally acknowledged that news agencies play a pivotal role in the current news landscape, empirical insights into the extent of news media's reliance on agency copy are scarce. This study applies an innovative automated approach to trace agency copy for an entire year (n = 119,452) in the major print and online news media articles (n = 247,161) of the Dutch news landscape. Results suggest that particularly online news is highly dependent on agency content, with the agency being responsible for up to 75% of the online news articles. Furthermore, a large part of the online news consists of verbatim agency copy, involving little or no editing. The results provide a strong rationale to place news agencies high on the agenda of news production scholars. Moreover, the demonstrated agency domination of online news is alarming in the context of news diversity.",
"author": [
{ "family": "Boumans", "given": "Jelle" },
{ "family": "Trilling", "given": "Damian" },
{ "family": "Vliegenthart", "given": "Rens" },
{ "family": "Boomgaarden", "given": "Hajo" }
],
"citation-key": "boumansAgencyMakesOnline2018",
"container-title": "INTERNATIONAL JOURNAL OF COMMUNICATION",
"ISSN": "1932-8036",
"issued": { "date-parts": [["2018"]] },
"page": "1768-1789",
"title": "The Agency Makes the (Online) News World Go Round: The Impact of News Agency Content on Print and Online News",
"type": "article-journal",
"volume": "12"
},
{
"id": "boumansTAKINGSTOCKTOOLKIT2016",
"abstract": "When analyzing digital journalism content, journalism scholars are confronted with a number of substantial differences compared to traditional journalistic content. The sheer amount of data and the unique features of digital content call for the application of valuable new techniques. Various other scholarly fields are already applying computational methods to study digital journalism data. Often, their research interests are closely related to those of journalism scholars. Despite the advantages that computational methods have over traditional content analysis methods, they are not commonplace in digital journalism studies. To increase awareness of what computational methods have to offer, we take stock of the toolkit and show the ways in which computational methods can aid journalism studies. Distinguishing between dictionary-based approaches, supervised machine learning, and unsupervised machine learning, we present a systematic inventory of recent applications both inside as well as outside journalism studies. We conclude with suggestions for how the application of new techniques can be encouraged.",
"author": [
{ "family": "Boumans", "given": "Jelle W." },
{ "family": "Trilling", "given": "Damian" }
],
"citation-key": "boumansTAKINGSTOCKTOOLKIT2016",
"container-title": "DIGITAL JOURNALISM",
"DOI": "10.1080/21670811.2015.1096598",
"ISSN": "2167-0811",
"issue": "1",
"issued": { "date-parts": [["2016"]] },
"page": "8-23",
"title": "TAKING STOCK OF THE TOOLKIT An overview of relevant automated content analysis approaches and techniques for digital journalism scholars",
"type": "article-journal",
"volume": "4"
},
{
"id": "brandsInstaNtFamous2021",
"abstract": "This study examines how female politicians are using Instagram to present themselves to the electorate and how this affects audience engagement. A manual content analysis was conducted to explore how female politicians, compared to male politicians (N = 40), use Instagram in terms of visual self-presentation, the use of masculine and feminine issues, and how this may lead to increased engagement (i.e., likes and comments). In total, N = 762 posts were manually analyzed. The study shows that female politicians receive more likes when they are visible in a picture compared to male politicians. It also reveals that male and female politicians both refer more to feminine issues than to masculine issues, although the use of feminine issues resulted in less likes. We find that some issues lead to more discussion amongst Instagram users, and that this differs between male and female politicians. The study sheds light on how politicians use Instagram and offers insights into how (female) politicians can use the platform to their advantage.",
"author": [
{ "family": "Brands", "given": "Charlotte" },
{ "family": "Kruikemeier", "given": "Sanne" },
{ "family": "Trilling", "given": "Damian" }
],
"citation-key": "brandsInstaNtFamous2021",
"container-title": "INFORMATION COMMUNICATION & SOCIETY",
"DOI": "10.1080/1369118X.2021.1962942",
"ISSN": "1369-118X",
"issue": "14, SI",
"issued": { "date-parts": [["2021", 10, 26]] },
"page": "2016-2036",
"title": "Insta(nt)famous? Visual self-presentation and the use of masculine and feminine issues by female politicians on Instagram",
"type": "article-journal",
"volume": "24"
},
{
"id": "brownlieTroublingContentGuiding2021",
"abstract": "Growing concerns about “online harm” and “duty of care” fuel debate about how best to regulate and moderate “troubling content” on social media. This has become a pressing issue in relation to the potential application of media guidelines to online discussion of death by suicide-discussion which is troubling because it is often transgressive and contested. Drawing on an innovative mixed-method analysis of a large-scale Twitter dataset, this article explores in depth, for the first time, the complexities of applying existing media guidelines on reporting death by suicide to online contexts. By focusing on five highly publicised deaths, it illustrates the limits of this translation but also the significance of empathy (its presence and absence) in online accounts of these deaths. The multi-relational and politicised nature of empathy, and the polarised nature of Twitter debate, suggests that we need to step back from calls for the automatic application of guidelines produced in a pre-digital time to understand more about the sociocultural context of how suicide is discussed on social media. This stepping back matters because social media is now a key part of how lives and deaths are deemed grievable and deserving of our attention.",
"author": [
{ "family": "Brownlie", "given": "Julie" },
{ "family": "Ho", "given": "Justin Chun-ting" },
{ "family": "Dunne", "given": "Nikki" },
{ "family": "Fernandez", "given": "Nichole" },
{ "family": "Squirrell", "given": "Tim" }
],
"citation-key": "brownlieTroublingContentGuiding2021",
"container-title": "SOCIOLOGY OF HEALTH & ILLNESS",
"DOI": "10.1111/1467-9566.13245",
"ISSN": "0141-9889",
"issue": "3",
"issued": { "date-parts": [["2021", 3]] },
"page": "607-623",
"title": "Troubling content: Guiding discussion of death by suicide on social media",
"type": "article-journal",
"volume": "43"
},
{
"id": "burggraaffDifferentGateAutomated2020",
"abstract": "We investigate how news values differ between online and print news articles. We hypothesize that print and online articles differ in terms of news values because of differences in the routines used to produce them. Based on a quantitative automated content analysis of N = 762,095 Dutch news items, we show that online news items are more likely to be follow-up items than print items, and that there are further differences regarding news values like references to persons, the power elite, negativity, and positivity. In order to conduct this large-scale analysis, we developed innovative methods to automatically code a wide range of news values. In particular, this article demonstrates how techniques such as sentiment analysis, named entity recognition, supervised machine learning, and automated queries of external databases can be combined and used to study journalistic content. Possible explanations for the difference found between online and offline news are discussed.",
"author": [
{ "family": "Burggraaff", "given": "Christiaan" },
{ "family": "Trilling", "given": "Damian" }
],
"citation-key": "burggraaffDifferentGateAutomated2020",
"container-title": "JOURNALISM",
"DOI": "10.1177/1464884917716699",
"ISSN": "1464-8849",
"issue": "1",
"issued": { "date-parts": [["2020", 1]] },
"page": "112-129",
"title": "Through a different gate: An automated content analysis of how online news and print news differ",
"type": "article-journal",
"volume": "21"
},
{
"id": "calderonSpecialIssueComputational2021",
"author": [
{ "family": "Calderon", "given": "Carlos Arcila" },
{ "family": "Van Atteveldt", "given": "Wouter" },
{ "family": "Trilling", "given": "Damian" }
],
"citation-key": "calderonSpecialIssueComputational2021",
"container-title": "CUADERNOS INFO",
"DOI": "10.7764/cdi.49.35333",
"ISSN": "0719-3661",
"issue": "49, SI",
"issued": { "date-parts": [["2021"]] },
"page": "I-III",
"title": "Special Issue Computational Methods and Big Data in Communication Research",
"type": "article-journal"
},
{
"id": "cardenalAssessingValiditySurvey2022",
"abstract": "This paper assesses the performance of three commonly used type of questions - open-ended, check-all and forced choice - for capturing retrospective online news exposure, combining both survey and web-tracking data. It examines the performance of these different survey questions considering both systematic and random error in two unexplored non-US contexts: Spain and the UK. Results show that the check-all question produces on average the most accurate - i.e. less biased - estimates of observed exposure. Some motivational and cognitive factors underlying bias in self-reports are explored. Findings reveal that the characteristics of outlets are associated with systematic error. Finally, we find that media systems matter for accuracy - where media fragmentation is high (Spain), accuracy is low across all questions; where it is low (UK), accuracy is high across all questions. In the final section, we highlight the methodological and theoretical contributions of our study and provide some recommendations.",
"author": [
{ "family": "Cardenal", "given": "Ana S." },
{ "family": "Victoria-Mas", "given": "Maria" },
{ "family": "Majo-Vazquez", "given": "Silvia" },
{ "family": "Lacasa-Mas", "given": "Ivan" }
],
"citation-key": "cardenalAssessingValiditySurvey2022",
"container-title": "POLITICAL COMMUNICATION",
"DOI": "10.1080/10584609.2022.2090038",
"ISSN": "1058-4609",
"issue": "5",
"issued": { "date-parts": [["2022", 9, 3]] },
"page": "634-651",
"title": "Assessing the Validity of Survey Measures for News Exposure through Digital Footprints: Evidence from Spain and the UK",
"type": "article-journal",
"volume": "39"
},
{
"id": "cardenalEchochambersOnlineNews2019",
"abstract": "Whether people live in echo-chambers when they consume political information online has been the subject of much academic and public debate. This article contributes to this debate combining survey and web-tracking online data from Spain, a country known for its high political parallelism. We find that users spend more time in outlets of their political leanings but, generally, they engage in considerable cross-partisan media exposure, especially those in the left. In addition, we use a quasi experiment to test how major news events affect regular patterns of news consumption, and particularly, selective exposure. We find that the nature of news explains changes in users' overall consumption behaviour, but this has less to do with the type of event than with the interest it arouses. More importantly, we find that users become more polarized along party lines as the level of news consumption and interest for news increases.",
"author": [
{ "family": "Cardenal", "given": "Ana S." },
{ "family": "Aguilar-Paredes", "given": "Carlos" },
{ "family": "Cristancho", "given": "Camilo" },
{ "family": "Majo-Vazquez", "given": "Silvia" }
],
"citation-key": "cardenalEchochambersOnlineNews2019",
"container-title": "EUROPEAN JOURNAL OF COMMUNICATION",
"DOI": "10.1177/0267323119844409",
"ISSN": "0267-3231",
"issue": "4",
"issued": { "date-parts": [["2019", 8]] },
"page": "360-376",
"title": "Echo-chambers in online news consumption: Evidence from survey and navigation data in Spain",
"type": "article-journal",
"volume": "34"
},
{
"id": "cardenalFacebookErodingPublic2019",
"abstract": "Preserving a common public agenda positively affects social integration, minimizing social cleavages and polarization. Although social media are known for fragmenting the media environment, research has not devoted much attention to their effect on the public agenda. This article addresses whether consuming news through Facebook shapes individual agendas that diverge from the set of most important problems (MIPs) as perceived by the general public. Our research design combines survey and Web-tracking data to analyze how Facebook-referred news consumption influences individual consumers' agendas. We find that when Facebook is a relevant news referral, people are less likely to mention the top MIPs for a representative sample of the Spanish population. We discuss the implications of our findings for the public agenda.",
"author": [
{ "family": "Cardenal", "given": "Ana S." },
{ "family": "Galais", "given": "Carol" },
{ "family": "Majo-Vazquez", "given": "Silvia" }
],
"citation-key": "cardenalFacebookErodingPublic2019",
"container-title": "INTERNATIONAL JOURNAL OF PUBLIC OPINION RESEARCH",
"DOI": "10.1093/ijpor/edy025",
"ISSN": "0954-2892",
"issue": "4",
"issued": { "date-parts": [["2019"]] },
"page": "589-608",
"title": "Is Facebook Eroding the Public Agenda? Evidence From Survey and Web-Tracking Data",
"type": "article-journal",
"volume": "31"
},
{
"id": "casasDelicateBalanceParty2017",
"abstract": "Strong party brands help congressional parties elect candidates, maintain or gain majority control, and advance their policy agendas. Because successful branding efforts depend on consistent messaging, party leaders try to choose issues that most members are willing to promote. But what do leaders do when a party majority pressures them to take up issues that harm the brand for others? We investigate the 2013 government shutdown as a branding event. House Republican leaders instigated the shutdown after learning that a majority of Republicans would not vote for a clean funding bill. However, instead of highlighting the issues that led to the shutdown, they publicized the party's efforts to resolve it. Party leaders sought to exploit the fact that party brands have both position and valence components to simultaneously address the demands of the party base and the electoral concerns of members representing competitive districts.",
"author": [
{ "family": "Casas", "given": "Andreu" },
{ "family": "Wilkerson", "given": "John" }
],
"citation-key": "casasDelicateBalanceParty2017",
"container-title": "AMERICAN POLITICS RESEARCH",
"DOI": "10.1177/1532673X16688458",
"ISSN": "1532-673X",
"issue": "5",
"issued": { "date-parts": [["2017", 9]] },
"page": "790-812",
"title": "A Delicate Balance: Party Branding During the 2013 Government Shutdown",
"type": "article-journal",
"volume": "45"
},
{
"id": "casasExposureExtremelyPartisan2023",
"abstract": "A narrow information diet may be partly to blame for the growing political divides in the United States, suggesting exposure to dissimilar views as a remedy. These efforts, however, could be counterproductive, exacerbating attitude and affective polarization. Yet findings on whether such boomerang effect exists are mixed and the consequences of dissimilar exposure on other important outcomes remain unexplored. To contribute to this debate, we rely on a preregistered longitudinal experimental design combining participants' survey self-reports and their behavioral browsing data, in which one should observe boomerang effects. We incentivized liberals to read political articles on extreme conservative outlets (Breitbart, The American Spectator, and The Blaze) and conservatives to read extreme left-leaning sites (Mother Jones, Democracy Now, and The Nation). We maximize ecological validity by embedding the treatment in a larger project that tracks over time changes in online exposure and attitudes. We explored the effects on attitude and affective polarization, as well as on perceptions of the political system, support for democratic principles, and personal well-being. Overall we find little evidence of boomerang effects.",
"author": [
{ "family": "Casas", "given": "Andreu" },
{ "family": "Menchen-Trevino", "given": "Ericka" },
{ "family": "Wojcieszak", "given": "Magdalena" }
],
"citation-key": "casasExposureExtremelyPartisan2023",
"container-title": "POLITICAL BEHAVIOR",
"DOI": "10.1007/s11109-021-09769-9",
"ISSN": "0190-9320",
"issue": "4",
"issued": { "date-parts": [["2023", 12]] },
"page": "1491-1530",
"title": "Exposure to Extremely Partisan News from the Other Political Side Shows Scarce Boomerang Effects",
"type": "article-journal",
"volume": "45"
},
{
"id": "casasImagesThatMatter2019",
"abstract": "Do images affect online political mobilization? If so, how? These questions are of fundamental importance to scholars of social movements, contentious politics, and political behavior generally. However, little prior work has systematically addressed the role of images in mobilizing online participation in social movements. We first confirm that images have a positive mobilizing effect in the context of online protest activity. We then argue that images are mobilizing because they trigger stronger emotional reactions than text. Building on existing political psychology models, we theorize that images evoking enthusiasm, anger, and fear should be particularly mobilizing, while sadness should be demobilizing. We test the argument through a study of Twitter activity related to a Black Lives Matter protest. We find that both images in general and some of the proposed emotional attributes (enthusiasm and fear) contribute to online participation. The results hold when controlling for alternative theoretical mechanisms for why images should be mobilizing, and for the presence of frequent image features. Our paper provides evidence supporting the broad argument that images increase the likelihood of a protest to spread online while teasing out the mechanisms at play in a new media environment.",
"author": [
{ "family": "Casas", "given": "Andreu" },
{ "family": "Williams", "given": "Nora Webb" }
],
"citation-key": "casasImagesThatMatter2019",
"container-title": "POLITICAL RESEARCH QUARTERLY",
"DOI": "10.1177/1065912918786805",
"ISSN": "1065-9129",
"issue": "2",
"issued": { "date-parts": [["2019", 6]] },
"page": "360-375",
"title": "Images that Matter: Online Protests and the Mobilizing Role of Pictures",
"type": "article-journal",
"volume": "72"
},
{
"id": "casasMediaCoverageConnective2016",
"abstract": "This article uses Twitter messages sent in May 2011 to study the ability of the so-called 15-M movement, a “connective” movement, to place their demands on the media agenda and maintain control over their own discourse. The results show that the activists' discourse included many issues, although greatest attention was given to three: electoral and party systems, democracy and governance, and civil liberties. Moreover, the study reveals that the media covered all the movement's issues and that activists maintained their plural discourse throughout the protest. This article contributes to the literature on `connective' social movements, showing that in certain circumstances these movements have the capacity to determine media coverage.",
"author": [
{ "family": "Casas", "given": "Andreu" },
{ "family": "Davesa", "given": "Ferran" },
{ "family": "Congosto", "given": "Mariluz" }
],
"citation-key": "casasMediaCoverageConnective2016",
"container-title": "REVISTA ESPANOLA DE INVESTIGACIONES SOCIOLOGICAS",
"DOI": "10.5477/cis/reis.155.73",
"ISSN": "0210-5233",
"issue": "155",
"issued": { "date-parts": [["2016", 9]] },
"page": "73-94",
"title": "Media Coverage of a “Connective” Action: The Interaction Between the 15-M Movement and the Mass Media",
"type": "article-journal"
},
{
"id": "casasMoreEffectiveWe2020",
"abstract": "For more than half a century, scholars have been studying legislative effectiveness using a single metric-whether the bills a member sponsors progress through the legislative process. We investigate a less orthodox form of effectiveness-bill proposals that become law as provisions of other bills. Counting these “hitchhiker” bills as additional cases of bill sponsorship success reveals a more productive, less hierarchical, and less partisan lawmaking process. We argue that agenda and procedural constraints are central to understanding why lawmakers pursue hitchhiker strategies. We also investigate the legislative vehicles that attract hitchhikers and find, among other things, that more Senate bills are enacted as hitchhikers on House laws than become law on their own.",
"author": [
{ "family": "Casas", "given": "Andreu" },
{ "family": "Denny", "given": "Matthew J." },
{ "family": "Wilkerson", "given": "John" }
],
"citation-key": "casasMoreEffectiveWe2020",
"container-title": "AMERICAN JOURNAL OF POLITICAL SCIENCE",
"DOI": "10.1111/ajps.12472",
"ISSN": "0092-5853",
"issue": "1",
"issued": { "date-parts": [["2020", 1]] },
"page": "5-18",
"title": "More Effective Than We Thought: Accounting for Legislative Hitchhikers Reveals a More Inclusive and Productive Lawmaking Process",
"type": "article-journal",
"volume": "64"
},
{
"id": "chanChallengingGlobalCultural2023",
"abstract": "Recent terrorist attacks such as the Christchurch mosque attacks in 2019 renew the discussion of whether right-wing attacks are reported less negatively than Islamist attacks. To clarify this point, our study is the first to combine the selection of media inside and outside the West with a distinction between Islamist and right-wing attacks. We compare coverage given to thirty-two right-wing and forty Islamist attacks from 2015 to 2019 in nine Western and eight non-Western English-language media outlets, tapping the differential use of the “terrorist/terrorism” label and textual sentiment. Both (many) Western and (some) non-Western media use this label more frequently in the coverage of Islamist attacks. Importantly, public diplomacy channels from non-Western countries such as China Daily and Sputnik also demonstrate this pattern. Delegitimizing Islamist attacks more than right-wing attacks thus cannot be explained as merely a Western phenomenon alone. We point to alternative explanations and call for greater standardization of coverage across Islamist and right-wing attacks.",
"author": [
{ "family": "Chan", "given": "Chung-Hong" },
{ "family": "Wessler", "given": "Hartmut" },
{ "family": "Jungblut", "given": "Marc" },
{ "family": "Welbers", "given": "Kasper" },
{ "family": "Althaus", "given": "Scott" },
{ "family": "Bajjalieh", "given": "Joseph" },
{
"family": "Atteveldt",
"given": "Wouter",
"non-dropping-particle": "van"
}
],
"citation-key": "chanChallengingGlobalCultural2023",
"container-title": "INTERNATIONAL JOURNAL OF PRESS-POLITICS",
"DOI": "10.1177/19401612231157655",
"ISSN": "1940-1612",
"issued": { "date-parts": [["2023", 2, 22]] },
"title": "Challenging the Global Cultural Conflict Narrative: An Automated Content Analysis on How PerPetrator Identity Shapes Worldwide News Coverage of Islamist and Right-Wing Terror Attacks",
"type": "article-journal"
},
{
"id": "chanHowCombiningTerrorism2020",
"abstract": "This study looks into how the combination of Islam, refugees, and terrorism topics leads to text-internal changes in the emotional tone of news articles and how these vary across countries and media outlets. Using a multilingual human-validated sentiment analysis, we compare fear and pity in more than 560,000 articles from the most important online news sources in six countries (U.S., Australia, Germany, Switzerland, Turkey, and Lebanon). We observe that fear and pity work antagonistically-that is, the more articles in a particular topical category contain fear, the less pity they will feature. The coverage of refugees without mentioning terrorists and Muslims/Islam featured the lowest fear and highest pity levels of all topical categories studied here. However, when refugees were covered in combination with terrorism and/or Islam, fear increased and pity decreased in Christian-majority countries, whereas no such pattern appeared in Muslim-majority countries (Lebanon, Turkey). Variations in emotions are generally driven more by country-level differences than by the political alignment of individual outlets.",
"author": [
{ "family": "Chan", "given": "Chung-Hong" },
{ "family": "Wessler", "given": "Hartmut" },
{ "family": "Rinke", "given": "Eike Mark" },
{ "family": "Welbers", "given": "Kasper" },
{ "family": "Van Atteveldt", "given": "Wouter" },
{ "family": "Althaus", "given": "Scott" }
],
"citation-key": "chanHowCombiningTerrorism2020",
"container-title": "INTERNATIONAL JOURNAL OF COMMUNICATION",
"ISSN": "1932-8036",
"issued": { "date-parts": [["2020"]] },
"page": "3569-3594",
"title": "How Combining Terrorism, Muslim, and Refugee Topics Drives Emotional Tone in Online News: A Six-Country Cross-Cultural Sentiment Analysis",
"type": "article-journal",
"volume": "14"
},
{
"id": "chanReproducibleExtractionCrosslingual2020",
"abstract": "With global media content databases and online content being available, analyzing topical structures in different languages simultaneously has become an urgent computational task. Some previous studies have analyzed topics in a multilingual corpus by translating all items into a single language using a machine translation service, such as Google Translate. We argue that this method is not reproducible in the long run and proposes a new method - Reproducible Extraction of Cross-lingual Topics Using R (rectr). Our method utilizes open-source-aligned word embeddings to understand the cross-lingual meanings of words and has a mechanism to normalize residual influence from language differences. We present a benchmark that compares the topics extracted from a corpus of English, German, and French news using our method with methods used in the literature. We show that our method is not only reproducible but can also generate high-quality cross-lingual topics. We demonstrate how our method can be applied in tracking news topics across time and languages.",
"author": [
{ "family": "Chan", "given": "Chung-Hong" },
{ "family": "Zeng", "given": "Jing" },
{ "family": "Wessler", "given": "Hartmut" },
{ "family": "Jungblut", "given": "Marc" },
{ "family": "Welbers", "given": "Kasper" },
{ "family": "Bajjalieh", "given": "Joseph W." },
{
"family": "Atteveldt",
"given": "Wouter",
"non-dropping-particle": "van"
},
{ "family": "Althaus", "given": "Scott L." }
],
"citation-key": "chanReproducibleExtractionCrosslingual2020",
"container-title": "COMMUNICATION METHODS AND MEASURES",
"DOI": "10.1080/19312458.2020.1812555",
"ISSN": "1931-2458",
"issue": "4",
"issued": { "date-parts": [["2020", 10, 1]] },
"page": "285-305",
"title": "Reproducible Extraction of Cross-lingual Topics (rectr)",
"type": "article-journal",
"volume": "14"
},
{
"id": "cristanchoContentiousResponsesCrises2020",
"abstract": "This research analyzes how different types of frames adopted by news organizations and social media affected the support for protests against austerity measures in Spain. We pay special attention to the individual understandings of the crises based on materialistic grievances and nonmaterialistic accounts of the economic crises. We identified frames using a supervised approach and a data set of 2 million tweets gathered during the major demonstrations of the Indignados Movement between 2011 and 2013. Our second data set included the news-related content published by the top Spanish newspapers, in terms of circulation, during those demonstrations. We found that support for antiausterity protests was conditioned by understandings of the crisis. Frames addressing the political system were negatively related to the support for protests against austerity measures, as compared with those referring to the crisis as an economic matter. In addition, more challenging and controversial frames generated lower acceptance of the protests among the population than those that primed social problems.",
"author": [
{ "family": "Cristancho", "given": "Camilo" },
{ "family": "Anduiza", "given": "Eva" },
{ "family": "Congosto", "given": "Mariluz" },
{ "family": "Majo-Vazquez", "given": "Silvia" }
],
"citation-key": "cristanchoContentiousResponsesCrises2020",
"container-title": "INTERNATIONAL JOURNAL OF COMMUNICATION",
"ISSN": "1932-8036",