Search

Some people live in social media "news deserts," while others are embedded in online networks that are rich in news content. These news deserts represent a new form of digital inequality—distinct from problems of access, resources, or civic skills—that could foreclose one of the ways social media are believed to contribute to informing citizens and engaging them in democratic processes: providing opportunities for incidental news exposure. This study investigates incidental exposure on social media platforms, drawing on an online survey administered just before the 2018 US Midterm Elections (N = 1493). The study finds that even after controlling for key individual-level factors, characteristics of social media discussion networks play a role in explaining variation in incidental exposure. The results are discussed in light of prevailing theory about incidental exposure, public engagement, and digital inequalities. [ABSTRACT FROM AUTHOR]

The use of artificial intelligence-based algorithms for the curation of news content by social media platforms like Facebook and Twitter has upended the gatekeeping role long held by traditional news outlets. This has caused some US policymakers to argue that platforms are skewing news diets against them, and such claims are beginning to take hold among some voters. In a nationally representative survey experiment, we explore whether traditional models of media bias perceptions extend to beliefs about algorithmic news bias. We find that partisan cues effectively shape individuals' attitudes about algorithmic news bias but have asymmetrical effects. Specifically, whereas in-group directional partisan cues stimulate bias perceptions for members of both parties, Democrats, but not Republicans, also respond to out-group cues. We conclude with a discussion about the implications for the formation of attitudes about new technologies and the potential for polarization. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the causal direction of the relationship between incidental news exposure via social media and political participation. Unlike prior studies, which have relied on cross-sectional data to examine this link, we used two panel data sets to better identify causal relationships. Specifically, we evaluate two unidirectional models (i.e. mobilization and reinforcement) and a reciprocal causal model using both cross-lagged and autoregressive path models. The findings reveal a more complex relationship than most previous studies have suggested. The relationship between incidental news exposure via social media and political participation appears to be reciprocal, with incidental news exposure and political participation indirectly influencing each other through social media use for political purposes. Furthermore, while the relationship between incidental news exposure and political participation is reciprocal, the participation-to-incidental news exposure path exerted a stronger effect than the reverse path in both studies. [ABSTRACT FROM AUTHOR]

Building on existing theoretical frameworks for the study of incivility, interactivity, and negativity bias, this study contributes to the growing body of literature on the impact of incivility in online comments. Specifically, it tests incivility's impact on news engagement intentions; investigates political and personality predispositions' roles as perceptual filters; and extends this scholarship to the context of multiple scientific news topics. It found that, when dealing with news about two of the more politically divisive technologies—fracking and synthetic biology—ideology moderated the effects of incivility, with uncivil comments encouraging engagement among conservatives but not among liberals. However, in the less politically divisive context of nanotechnology, self-monitoring played a significant role in moderating incivility's effects: with high self-monitors being more motivated, and low self-monitors less motivated, to share nanotech news after exposure to uncivil comments. These results imply that individual predispositions and topic-specific factors both underlie the impact of incivility on news engagement intentions. [ABSTRACT FROM AUTHOR]

Social media and its embedded user commentary are playing increasingly influential roles in the news process. However, researchers' understanding of the social media commenting environment remains limited, despite rising concerns over uncivil comments. Accordingly, this study used a supervised machine learning-based method of content analysis to examine the extent and patterns of incivility in the comment sections of 42 US news outlets' Facebook pages over an 18-month period in 2015-2016. These outlets were selected as being broadly representative of national, local, conservative, and liberal- news media. The findings provide the first empirical evidence that both the level and the targets of incivility in the comments posted on news outlets' Facebook pages vary greatly according to such entities' general type and ideological stance. [ABSTRACT FROM AUTHOR]

Political candidates increasingly have incorporated social media tools like Facebook into their campaigns. Such tools enable supporters to interact directly and easily with campaigns, creating an immediate and relatively informal way for users to respond to candidate messages and publicly display their support. Previous research has explored how campaigns have used social media, or how the use of social media may be related to political engagement. In this study, we provide a systematic analysis of variations in user response to candidate messaging through Facebook. Our results shed new light on the dynamics of online campaigning through social media and engagement with supporters through digital media. Specifically, our findings show that variations in the tone, timing, and content of posts, as distinct from contextual factors, are significantly related to how users respond through “likes” and comments. [ABSTRACT FROM AUTHOR]