Jesper Strömbäck, Elina Lindgren, Yariv Tsfati, Alyt Damstra, Rens Vliegenthart, Hajo Boomgaarden, Elena Broda, Noelle Lebernegg, Sebastian Galyga
{"title":"Political Opinion Leaders in High-Choice Information Environments: Are They More Informed Than Others?","authors":"Jesper Strömbäck, Elina Lindgren, Yariv Tsfati, Alyt Damstra, Rens Vliegenthart, Hajo Boomgaarden, Elena Broda, Noelle Lebernegg, Sebastian Galyga","doi":"10.1080/15205436.2023.2281311","DOIUrl":"https://doi.org/10.1080/15205436.2023.2281311","url":null,"abstract":"One implication of the transition to high-choice media environments is that what information people are exposed to depends less than on journalistic curation and more on social, algorithmic, and pe...","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"23 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"‘Look at How Corrupt They Are!’: How Anti-Political Discourse from Politicians Affects Their Own Image and the Image of Politics","authors":"Dieter Dekeyser, Henk Roose","doi":"10.1080/15205436.2023.2282125","DOIUrl":"https://doi.org/10.1080/15205436.2023.2282125","url":null,"abstract":"ABSTRACTIn this article, we use a survey experiment (N = 1,626) to test whether anti-political Facebook messages from politicians improve the character evaluation of the messenger while damaging the image of politics. We take account of people’s preexisting anti-political attitudes and their support for the political messenger as important moderators. Results show that anti-political discourse from politicians has minimal effects on the attitudes of audiences toward the messenger and toward politics. We find limited support for three underlying mechanisms: anti-political messages give (some) audiences new impressions that improve the personal image of the messenger (impression formation), anti-political discourse from politicians alienates some of their supporters (backlash effect), and anti-political discourse has more effect on people who do not hold anti-political attitudes (attitudinal incongruence). Overall, our results show that politicians reap little benefit from using anti-political discourse, as such discourse may worsen their own image and the image of politics among certain audiences.DisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Disclosure StatementWe have no known conflict of interest to disclose.Notes1 Participants exposed to a favored political party read a Facebook message from: Vlaams Belang (15.8% of participants; the Flemish populist radical-right party), N-VA (12.7%; Flemish nationalist party), Open Vld (12.7%; the liberal party), CD&V (13.4%; Christian democratic party), sp.a/Vooruit (11.4%; the socialist party), Groen (14.1%; the green party), or PVDA (7.3%; the workers’ party). Participants exposed to an unfavored political party read a Facebook message from: Vlaams Belang (39.1%%), N-VA (10.6%), Open Vld (6.3%), CD&V (4.2%), sp.a/Vooruit (11.2%), Groen (10.4%), or PVDA (18.1%)..2 We use the package “lavaan” in R (Rosseel, Citation2012). All models were estimated using WLSMV estimation.3 Our interpretation of the mediation analysis assumes that all relevant mechanisms are considered. This assumption is tentative given that (a) some important variables might not have been considered in the mediation analysis and (b) the causal (cognitive) mechanisms linking the mediator to the outcome variable(s) were not directly observed. For a full discussion on the problem of unobserved variable bias (or confounders) in causal analysis see Imai et al. (Citation2011).Additional informationNotes on contributorsDieter DekeyserDieter Dekeyser holds master’s degrees in criminology (2012), sociology (2014), and statistics (2015), and received his PhD in so","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"61 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134900914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"I Participate in Politics Because the News is Influential Against Me: Hostile Media Perception, Third-Person Perception, and Political Participation","authors":"Seungsu Lee, Kyungmo Kim","doi":"10.1080/15205436.2023.2272846","DOIUrl":"https://doi.org/10.1080/15205436.2023.2272846","url":null,"abstract":"","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"12 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134909429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Who Says “Muslims are Not Terrorists”? News Differentiation, Muslim versus Non-Muslim Sources, and Attitudes Toward Muslims","authors":"Ruta Kaskeleviciute, Helena Knupfer, Jörg Matthes","doi":"10.1080/15205436.2023.2268097","DOIUrl":"https://doi.org/10.1080/15205436.2023.2268097","url":null,"abstract":"Media coverage on terrorism can lead to negative attitudes toward Muslims. We theorize that undifferentiated news—i.e. not explicitly distinguishing Muslims from terrorists—can accelerate these negative effects. In a quota-based 2 (news differentiation: differentiated and undifferentiated) × 2 (expert interviewee source: Muslim and non-Muslim) between-subjects experiment (N = 291), participants read news about Islamist terrorism. A control group received news unrelated to terror. Building on von Sikorski et al. (2017) and extending this line of research, we analyzed effects on explicit and implicit attitudes toward Muslims. Drawing on social identity, self-categorization and mediated intergroup contact theories, findings revealed that undifferentiated news increased hostile attitudes toward Muslims and attitudinal undifferentiation. However, undifferentiated news did not activate implicit attitudes. We also found that undifferentiated news had the strongest negative effects when coming from sources that are perceived as similar (i.e. non-Muslim).","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"38 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Why We Broke Up with X (And You Should Too)","authors":"Mike Schmierbach","doi":"10.1080/15205436.2023.2261822","DOIUrl":"https://doi.org/10.1080/15205436.2023.2261822","url":null,"abstract":"","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134973773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sangwon Lee, S Mo Jones-Jang, Myojung Chung, Edmund W. J. Lee, Trevor Diehl
{"title":"Examining the Role of Distrust in Science and Social Media Use: Effects on Susceptibility to COVID Misperceptions with Panel Data","authors":"Sangwon Lee, S Mo Jones-Jang, Myojung Chung, Edmund W. J. Lee, Trevor Diehl","doi":"10.1080/15205436.2023.2268053","DOIUrl":"https://doi.org/10.1080/15205436.2023.2268053","url":null,"abstract":"ABSTRACTTrust in scientific actors and institutions in the United States is at an all-time low. At the same time, studies show that people use social media for science information and become increasingly vulnerable to COVID-19-related misinformation. Yet, we do not know whether low levels of trust cause people to turn to social media in the first place. We argue that if people do not trust the scientific information provided by scientists, they are likely to turn to social media to get alternative scientific information (rather than relying on mainstream sources to get pandemic-related information), which in turn can increase susceptibility to COVID-19 misperceptions. Based on two-wave U.S. panel data, we found that distrust in science drives the uses of social media for COVID-19 information, and reliance on social media for COVID-19 information increases susceptibility to COVID-19 misperceptions.DisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Additional informationNotes on contributorsSangwon LeeSangwon Lee (Ph.D., University of Wisconsin-Madison) is an Assistant Professor in the School of Media & Communication at Korea University. His research examines how new media technologies (e.g., social media, AI, etc.) impact our daily lives and society as a whole.S Mo Jones-JangS Mo Jones-Jang (Ph.D., University of Michigan) is an Associate Professor in the Department of Communication at Boston College. His research focuses on AI and misinformation in the science context.Myojung ChungMyojung Chung (Ph.D., Syracuse University) is an Assistant Professor in the School of Journalism at Northeastern University. Her primary research focuses on how people process and distribute misinformation in the digital era and how to combat misinformation.Edmund W. J. LeeEdmund W. J. Lee (Ph.D., Nanyang Technological University) is an Assistant Professor at the Wee Kim Wee School of Communication and Information at Nanyang Technological University, Singapore, and Assistant Director at the Centre for Information Integrity and the Internet (IN-cube). Lee’s research focuses on developing health technologies to tackle health inequalities, and how to take advantage of digital traces data in an intelligent and ethical manner to understand and improve public health outcomes.Trevor DiehlTrevor Diehl (Ph.D., University of Vienna) is an Associate Professor at Central Michigan University at the School of Broadcast and Cinematic Arts. His research interests include social media news audiences and political participation, multiplatform news, and emerging journalism practices.","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136116720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Responses to Mental Health Care Posts by Social Media Influencers: The Moderating Effects of Previous Experience and Follower Involvement","authors":"Olivia Simone Reed","doi":"10.1080/15205436.2023.2269542","DOIUrl":"https://doi.org/10.1080/15205436.2023.2269542","url":null,"abstract":"ABSTRACTMental health information on social media is more often communicated by regular users as opposed to healthcare professionals, and a subset of these regular users, social media influencers, are employed as marketing sources for therapy companies. According to social cognitive theory, an influencer’s story about their positive experiences with therapy should encourage followers to also seek therapy, and stronger involvement with the influencer should enhance these effects. Although research has found that previous experience with modeled behaviors may mute vicarious learning effects, with a nuanced and stigmatized context like mental health treatment, it is important to parse out both the quantity and valence of previous experience in understanding how it shapes audience responses to mental health content on social media. The current study tests a moderated mediation model to help explain the impact of previous viewer experience with therapy (quantity and valence) and involvement with the influencer (similarity and parasocial relationship) on social cognitive theory-related outcomes. Results indicate no interaction effects of the moderators, however, there were direct positive effects of previous viewer experience and SMI outcome on outcome expectations, which in turn positively predicted behavioral intentions to seek therapy. Interestingly, self-efficacy had a negative effect on behavioral intentions.DisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Disclosure StatementThe author reports there are no competing interests to declare.AcknowledgementThank you Dr. Jessica Gall Myrick for your assistance in the shaping of this project.Figure 1. Conceptual ModelDisplay full sizeFigure 2. Stimuli: Negative vs Positive SMI OutcomesDisplay full sizeFigure 3. Hypothesis Testing of H1-H6bNote: * p < .05, ** p < .01, *** p < .001. Values are unstandardized.Display full sizeQuantity→ Self-Efficacy: b = .007*, SE = .003Quantity→ Outcome Expectations: b = .008*, SE = .003Manipulated SMI Outcome → Outcome Expectations: b = .40**, SE = .16Self-Efficacy→Behavioral Intentions: b = -.43*, SE = .21Outcome Expectations→ Behavioral Intentions: b = .77***, SE = .19Quality → Outcome Expectations: b = .39**","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135854658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the Audience of Alternative News Media: Trust, Reflexivity, and Political Attitudes in the Czech Republic","authors":"Alena Macková, lenka Hrbková, jakub Macek","doi":"10.1080/15205436.2023.2268098","DOIUrl":"https://doi.org/10.1080/15205436.2023.2268098","url":null,"abstract":"ABSTRACTThis study explores the audiences of Czech alternative news media (ANM) and seeks the predictors for its use. It examines the relationship between ANM usage and trust in mainstream media, media reflexivity, political interest, political attitudes that indicate the liberal-conservative divide, and political antagonism. Adopting an audience-centered approach, the study identifies ANM users through their self-identification based on perceived ANM news sources. Additionally, it verifies the robustness of this approach by considering a spectrum of alternative-to-mainstream news sources. The findings reveal that the reception of Czech ANM is associated with lower trust in professional mainstream media and higher political interest. Moreover, self-identification-based measures show links with internet usage and media reflexivity, while the second model found weak effects for one’s attitude to the European Union and political antagonism. The study discusses the differences between the approaches and the implications of both measurements.DisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Disclosure statementThe authors report there are no competing interests to declare.Additional informationFundingThis work was supported by the Czech Science Foundation under Grant no. GA19-24724S.Notes on contributorsAlena MackováAlena Macková is an assistant professor in the Department of Media Studies and Journalism, Faculty of Social Studies at Masaryk University. She has a doctoral degree in political science, and she focuses on changes in the new information environment and their consequences for political communication and political behaviour.Lenka Hrbková is an assistant professor in the Department of Political Science, Faculty of Social Studies at Masaryk University. She has a doctoral degree in political science and she researches political attitudes and affective polarization.lenka HrbkováLenka Hrbková is an assistant professor in the Department of Political Science, Faculty of Social Studies at Masaryk University. She has a doctoral degree in political science and she researches political attitudes and affective polarization.jakub MacekJakub Macek is an associate professor in the Department of Media Studies and Journalism, Faculty of Social Studies at Masaryk University. He has a doctoral degree in media studies and deals with audience research, especially with issues of declining trust in media ad changes in media practices.","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136294800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Meta-Analytical Review of the Determinants of Social Media Discontinuance Intentions","authors":"Guangchao Charles Feng, Xianglin Su, Yiru He","doi":"10.1080/15205436.2023.2263872","DOIUrl":"https://doi.org/10.1080/15205436.2023.2263872","url":null,"abstract":"The use of social media has grown tremendously, but a considerable number of individuals have stopped using it. This meta-analysis aims to examine the factors that contribute to discontinuing social media use by reviewing 88 studies with a cumulative sample size of 42,159, including 33 effect sizes. Our study reveals that various stressors, including messaging overload (CO), social overload (SO), information collection overload (IO), system feature overload (SFO), privacy concerns (PC), and negative emotions such as technostress, fatigue (SNF), guilt, and dissatisfaction, are significantly correlated with social media discontinuance (DUIN). It is worth noting that only gratifications were negatively associated with both discontinuance and fatigue, but not with all other inhibitors. Furthermore, self-disclosure (S-disc), social comparison (SC), and fear of missing out (FoMo), as well as addiction, were significantly associated only with fatigue. Theoretical and practical implications are discussed, emphasizing the importance of social media operators balancing content supply with actual user demand to prevent overload, negative emotions, and discontinuance.","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"22 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135193143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Myiah J. Hutchens, Brittany Shaughnessy, Eliana DuBosar
{"title":"Populist Hyperpartisans?: The Interaction Between Partisan Media Exposure and Populism in the 2020 US Presidential Election","authors":"Myiah J. Hutchens, Brittany Shaughnessy, Eliana DuBosar","doi":"10.1080/15205436.2023.2264265","DOIUrl":"https://doi.org/10.1080/15205436.2023.2264265","url":null,"abstract":"ABSTRACTAspects of our political world brought to the forefront in recent years include the impact of declining media trust and a surge of populist politicians around the globe. Highlighting those aspects, this study utilizes representative data from the American National Election Studies (ANES) collected during the 2020 US Presidential Election. We examine the relationship between use of different media (mainstream liberal, mainstream conservative, and hyper-conservative) and media trust as well as the moderating role of populist beliefs. Results found that hyper-conservative media use and anti-elitist populist beliefs are negatively associated with media trust while liberal media use is positively associated with media trust; mainstream conservative media use is unrelated to media trust when controlling for other media types and populist beliefs. This lack of a main effect for conservative media is clarified by examining the interaction with anti-elitist populism, which shows increased use of conservative media for individuals with low levels of populist beliefs is associated with increased media trust while the opposite is true for those high in populist beliefs.DisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Disclosure StatementThe authors have no conflicts of interest to disclose.Figure 1. Interaction Between Populism and Media Use Predicting Media Trust.Display full sizeNote. Low and high values are visualized using one standard deviation above and below the mean for populism and one standard deviation above the mean and zero for all media variables.Notes1 The Sean Hannity radio show was included under hyper-partisan as Ad Fontes (Citation2023) notes it is more opinion-based than the Hannity television show.2 While the alpha is slightly below the traditional cutpoint of .7, we chose to keep the three items to ensure wider concept validity for our scale. We also re-ran all results using just the two questions that had been validated in prior scholarship, and the pattern of significance is identical..3 We also ran models using more extensive media controls accounting for entertainment programing, social media use, and others. The pattern of results was identical to what is presented here and can be seen in the online supplement.Additional informationNotes on contributorsMyiah J. HutchensMyiah J. Hutchens (Ph.D., The Ohio State University) is Chair and Associate Professor in the Department of Public Relations within the College of Journalism and Communications at the University of Florida. Her research interests include political communication and political ","PeriodicalId":47869,"journal":{"name":"Mass Communication and Society","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135193691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}