Search

Research on the origin, dissemination, and support of conspiracy theories has skyrocketed. Studies reveal how individual antecedents such as people's personality traits, intrinsic motivations, and broad social-psychological processes explain this phenomenon. Fewer studies, however, explored the role of cable news exposure. This study casts a new light on how exposure to Fox News, CNN, and MSNBC relate to people's levels of general conspiracy mentality fueled by the belief in "secret-plotting orchestrated by powerful others." Results from K-mean cluster algorithms, ordinary least squares (OLS) causal-autoregressive regressions, and cross-lagged panel structural equation model tests show Fox News exposure fosters people's conspiracy mentality. [ABSTRACT FROM AUTHOR]

Political consumerism has emerged as a popular form of participation among lay citizens. For the most part, research has delved into the main antecedents that explain this type of consumption. However, research has generally neglected to consider political consumerism as an independent variable, and its role influencing and igniting other forms of political behavior. This study theoretically argues that politically motivated consumerism will incite people to generally seek to persuade others of political issues. Using causal order tests and Random Intercept Cross-lagged Panel Structural Equation Models from a two-wave panel survey from the United States, the study shows robust empirical evidence that this is the case. [ABSTRACT FROM AUTHOR]

The internet was once seen as a beacon of hope for democratizing public access to information, but scholars argue that social media has led to frustration, isolation, and pseudo-information. This volume presents empirical studies exploring paths to potentially rebuild ideal communication situations, if ever, in the digital age and cope with digital information failure. Can we salvage an ill-informed society? These studies offer insights into addressing these issues. [ABSTRACT FROM AUTHOR]

Research has shown positive attitudes toward journalists and their roles foster pro-democratic outcomes. With the rise of social media as news sources, algorithms operate as gatekeepers, which may alter linkages between public opinion, journalists, and media trust. However, results from a panel-survey conducted in the U.S. underline citizens' preference for journalist gatekeeping in fueling trust in traditional and social media news. Conversely, preference for algorithmic news selection does not affect people's levels of trust. Furthermore, traditional news use moderates this relationship as those who report higher traditional news use and a preference for professional news gatekeeping trust traditional news the most. This study contributes to current discussions on the effects of preference for journalists' or algorithmic news selection, arguing that evaluations of journalists' editorial work remain critical to explain media trust. [ABSTRACT FROM AUTHOR]

Research on Artificial Intelligence (AI) in communication research is gaining broader interest. This interdisciplinary interest has yet to be supported by a systematic scholarly definition and by a holistic theoretical framework in communication research. First, combining prior theoretical efforts from diverse disciplines in the social sciences, especially journalism and communication, this study introduces a wide-ranging working AI scholarly definition in communication research as the tangible real-world capability of non-human machines or artificial entities to perform, task solve, communicate, interact, and act logically as it occurs with biological humans. We also propose its theoretical operationalization based on two dimensions: level of performance and level of autonomy, advancing an elementary conceptual framework drawing on AI's levels of potential actions or performance the AI may accomplish, including 1) performing tasks, 2) taking decisions, and 3) making predictions; as well as AI's level of autonomy, or the agency results contingent on the degrees of human input, interaction, or supervision involved. [ABSTRACT FROM AUTHOR]

Technological media effects scholarship in the field of journalism and communication is experiencing a reinvigorated blooming due to the role of Artificial Intelligence (AI) and algorithm-based information. From news production to distribution and consumption, the whole journalistic chain of information media ecosystems and the principles that govern them have all been deeply transformed with the advent of AI and algorithmic tools. Drawing from wellestablished normative principles that have guided the journalistic profession, this paper seeks to synthesize the current state of research on AI and algorithm-based news by providing a principle-based theoretical framework of news media. In doing so, the paper organizes a comparison between algorithmic news versus non-algorithmic news according to three foundational pillars sustaining journalism research: news production, selection, and effects thereof. [ABSTRACT FROM AUTHOR]

Prior research highlights broad democratic benefits of sustained public trust in the government, and the confidence that the government performs responsively addressing citizens' problems (i.e., unemployment, cost of living). As social media enhances citizens' opportunities to interact with journalists and elected officials, little is known about these communication effects on people's government trust, and citizens' evaluations about how well the government is addressing important society problems. Relying on a two-wave US representative panel survey data, this study builds on prior literature to introduce Twitter Communication with Democracy Actors : journalists and politicians, as a single, yet two-dimensional construct. Then, advancing different ordinary least squares (OLS) predictive panel models, results indicate that people who interact with democratic actors on Twitter trust the government and assess its overall functioning more positively. Additional moderating tests indicate social media interactions with democracy actors help citizens who might need it the most, specifically those who have lower levels of external political efficacy. The study provides theoretical implications of findings and suggestions for future research. [ABSTRACT FROM AUTHOR]

Prior scholarship has consistently shown that informed citizens tend to better understand government actions, expectations, and priorities, potentially mitigating radicalism such as partaking in illegal protest. However, the role of social media may prove this relationship to be challenging, with an increasingly pervasive use of applications such as WhatsApp for information and mobilization. Findings from a two-wave US panel survey data show that WhatsApp news is negatively associated to political knowledge and positively associated to illegal protest. Less politically knowledgeable citizens also tend to engage in illegal protest more frequently. Results also suggest an influential role of political knowledge in mediating the effects of WhatsApp news over illegal protests. Those who consume more news on WhatsApp tend to know less about politics which, in turn, positively relates to unlawful political protest activities. This study suggests that WhatsApp affordances provide fertile paths to nurture illegal political protest participation. [ABSTRACT FROM AUTHOR]

Copyright of Journalism & Mass Communication Quarterly is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journalism & Mass Communication Quarterly is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

While the discussion on the individual level variables that affect responses to political scandals has focused mainly on variables such as partisan identity or political cynicism, we suggest that media skepticism could also moderate whether and how individuals respond to political scandals. To test this relationship, we rely on panel data from the United States gathered before and after the Trump–Ukraine scandal occurred (Wave 1 in June 2019, Wave 2 in October 2019). Our results show that individuals who rank higher on media skepticism hold comparatively more positive views of Trump after the scandal, even when previous evaluations and alternative explanations are controlled for. Conversely, we find no effect of media skepticism in trust toward the US political system and government. We believe our findings have significant consequences to understanding the relationship between the governed and those governing in times of widespread media skepticism. [ABSTRACT FROM AUTHOR]

According to lifestyle politics theory, social media platforms introduce new ways for people to engage in civic life. Based on the communication mediation model, prior scholarship laid out theoretical and empirical foundations for how media exposure to the news positively influences people's political participatory behavior through supplemental communicative processes. Building on this line of research, we rely on a two-wave panel survey of U.S. adults to examine how the different online and social media communicative patterns among U.S. citizens, such as news use, political expression, and discussion, predict political consumerism behavior - the purchase decision of consumers based on political or ethical reasons. Advancing diverse causal order structural equation models, this study highlights a positive influence of news consumption, social media political expression, and political discussion in explaining political consumerism (i.e., boycotting and buycotting). Specifically, results underscore the importance of political expression and discussion mediating the relationship between online, social media and WhatsApp news use and political consumerism. Implications for future research and limitations to the study are provided in the manuscript. [ABSTRACT FROM AUTHOR]