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The purpose of this study is to identify the structural processes that lead citizens to escape their common social circles when talking about politics and public affairs (e.g. “filter bubbles”). To do so, this study tests to what extent political attitudes, political behavior, news media consumption and discussion frequency affect discussion network heterogeneity among US citizens.

Supported by the polling group Nielsen, this study uses a two-wave panel online survey to study the antecedents and mechanisms of discussion network heterogeneity among US citizens. To test the hypotheses and answer the research questions, ordinary least squares (OLS) regressions (cross-sectional, lagged and autoregressive) and mediation analyses were conducted.

The findings imply that political discussion frequency functions as the key element in explaining the mechanism that leads politically interested and participatory citizens (online) as well as news consumers of traditional and online media to seek a more heterogeneous discussion network, disrupting the so-called “filter bubbles.” However, mediation analyses also showed that discussion frequency can lead to more homogenous discussion networks if people score high on political knowledge, possibly reflecting the formation of a close network of political-savvy individuals.

The survey data give important insights into the 2016 pre-election situation, trying to explain why US citizens were more likely to remain in homogenous discussion networks when talking about politics and public affairs. By using two-wave panel data, the analyses allow to draw tentative conclusions about the influential and inhibiting factors and mechanisms that lead individuals to seek/avoid a more heterogeneous discussion network.

Traditionally, most readers' news access and consumption were based on direct intentional news seeking behavior. However, in recent years the emergence and popularization of social media platforms have enabled new opportunities for citizens to be incidentally informed about public affairs and politics as by-product of using these platforms. This article seeks to shed light on how socio-political conversation attributes may explain incidental exposure to information.

Drawing on US and UK survey data, the authors explore the role of political discussion and discussion network heterogeneity in predicting individuals' levels of incidental exposure to news. Furthermore, the authors also test the role of social media news use as a moderator. A hierarchical OLS regression analysis with incidental news exposure as dependent variable was conducted as well as analyses of moderation effects (heterogeneity*social media and political discussion*social media) using the PROCESS macro in SPSS.

Findings reveal that heterogeneous networks are positively related to incidental news exposure in the UK, while sheer level of political discussion is a positive influence over incidental news exposure in the US. Social media news use moderates the relationship between political discussion and incidental news exposure in the UK. That is, those who are highly exposed to news on social media and discuss less often about politics and public affairs, they tend to be incidentally exposed to news online the most. Meanwhile, the interaction of social media news and discussion heterogeneity showed significant results in the US with those exhibiting high levels of both also receiving the biggest share of INE.

This study contributes to closing research gaps regarding how and when people are inadvertently exposed to news in two Western societies. By highlighting that beyond the fate of algorithmic information treatment by social media platforms, discussion antecedents as well as social media news use play an integral part in predicting incidental news exposure, the study unravels fundamental conditions underlying the incidental news exposure phenomenon.

This paper reports the results of an investigation into the neutrality of the narrative discussion of financial performance and position, as evidenced in 179 annual reports of UK listed companies. Neutrality of narrative discussion was determined by comparing the average proportions of good and bad news contained in the narrative and statutory accounts sections of the annual reports. The results of a comparison of the proportion of good news in the two sections of the annual reports suggest that the narrative sections contained a significantly higher proportion of good news than the statutory accounts sections. Comparison of proportions of bad news, however, indicates that the narrative sections contained a significantly lower proportion of bad news compared to the statutory accounts sections. Finally, the results also suggest that the proportion of good news as compared to bad news in the narrative sections is significantly higher than the proportion of good news compared to bad news in the statutory accounts section. The results are consistent with the suggestion that company management highlights good news in narrative discussions. The implications of the findings for company management, users, auditors and regulators are discussed.

This study has three main purposes: (1) to investigate the association between social media news use and misperceptions about COVID-19; (2) to explore the mediating role of homogeneous online discussion; (3) and to understand whether the extent to which one perceives themselves as media-literate could moderate the relationship.

The authors conducted an online survey and collected data through Amazon Mechanical Turk. A total of 797 participants aged 18 and above completed the survey. The average age of the respondents is 38.40 years (SD = 12.31), and 41.2% were female. In terms of party identification, 30.8% were reported leaning toward Republicans; 53.7% leaned toward Democrats, and 15.4% were reported neutral.

Results from a moderated mediation model show that social media news use is positively associated with misperceptions about the COVID-19. Moreover, homogeneous online discussion was a significant mediator of the relationship between social media news use and misperceptions about COVID-19. Further, self-perceived media literacy (SPML) significantly moderated the main and indirect effects between social media news use and COVID-19 misperceptions, such that the associations became weaker among those with higher SPML.

Findings provide insights into the significance of online information sources, discussion network heterogeneity and media literacy education. Although there have been many studies on misinformation, prior research has not examined these relationships, which may help provide solutions to cope with misinformation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0305

The purpose of this paper is to assess the extent to which the news is discussed in social network web sites.

This article reports a quantitative analysis of the text of 26,953 Windows Live Spaces from September 2006 to February 2007 using a heuristic designed to detect news discussions. In addition, a comparative link and page analysis of 20 popular general social network environments (e.g. MySpace and Facebook) and 11 popular blog environments (e.g. Typepad and Blogger) is presented.

The text analysis suggests that news plays little role in most Windows Live Spaces, but the link and page analysis suggests that the key difference is less between social network environments and blog environments than between free standardised environments (e.g. MySpace and Blogger) and professional or semi‐professional blogs, with the former tending to carry relatively little news‐related content.

The methods used are exploratory rather than giving definitive conclusions.

Those interested in public reactions to the news should focus on blogs and blog‐like social network sites rather than general social network sites, and should expect only a tiny proportion of the discussions to be news‐related.

Although the role of blogs in reporting, discussing and making the news has been analysed frequently, this is the first study about the extent to which general social networking sites engage with (mass media) news.

Participants in Internet net news bulletin board discussions can argue with others whom they do not know. The nature of each message in a discussion can be characterized by the frequency with which keywords appear in the message. This incidence or frequency can be summarized as a principal component score. By deriving two characteristic indexes – auto‐correlation coefficients and power spectra – from the principal component scores, we have come up with a novel method. Applying this method to analyze three large net news threads, the index plots revealed two‐generation cyclic fluctuations. Comparing these plots with actual points of conflict obtained by reading the message contents, a fairly good correlation was obtained between the two and it was found that most of the conflicts were among participants with different cultural backgrounds.

Congratulations cards, gifts, and announcements in newspapers are some features of the social rituals surrounding the birth of a child, normally a happy occasion. A subtle mixture of public and private activity intermingle in reactions to this unique yet universal event. In this article I intend to explore the rituals and processes involved in hearing and spreading the news of a birth, with particular reference to grandparents. Such a discussion of the announceable features of becoming a grandparent can form the beginning of an assessment of the meaning and significance of grnadparenthood, something which has received little attention in sociological work. In providing an account of the essential features of ‘telling the news’, I hope to generate an understanding both of the procedures used to ‘make sense’ of grandparenthood, and of the structural assumptions and processes underlying the way in which events are announced.

This study aims to examine the forms of information about the synthesis of life forms in the public sphere.

A document‐oriented approach was used and a wide range of documents that discuss a particular technoscientific issue was sampled. The analysis of documents involved a combination of discourse and content analysis.

The study demonstrates that there is a significant growth of the diversity of document types over time. Overall, 24 document types and 21 publication formats were identified. Web‐based formats, such as blogs and news and information web sites, play a prominent role in the dissemination of information about the synthesis of life forms.

The variety of document types identified here expands current understanding of the public documentary landscape and shows that the analysis of technoscientific debates and controversies can no longer be limited to traditional mass media documents such as news, feature articles, and editorials. However, a larger sample that includes more documents as well as non‐textual objects, such as images or even lab specimens, would expand the scope of this taxonomy and make conclusions more definitive. Further research into the specific digital types of documents identified in the study and their impact on the communication of scientific information to the public is needed.

Surveying and understanding the kinds of documents that circulate information about emerging technoscientific issues can help to provide better services for a variety of information users and develop better tools for access and dissemination of such information.

The study demonstrates that a document‐oriented approach can provide valuable insight into the circulation of information about science in the public sphere. It also offers an elaborate taxonomy of documents that can be used in further research as well as in information and science literacy instruction.

This article attempts to highlight the defining role that community media engagements play during times of the pandemic. It is argued that the outbreak of COVID-19 pandemic forced community news media houses to reinvent their news reporting practices to cover issues pertaining to the marginalized and underprivileged sections of the society. It explores the role of community media in engaging and empowering the citizens during the COVID-19 pandemic.

Central to our study is the analysis of the news model of “Video Volunteers” (henceforth VV), an independent community-based online news platform based in India. To understand the level of citizen participation and engagement in the making and dissemination of news during the pandemic, the authors conducted 13 interviews with different stakeholders of VV, including founders and news audiences.

It seeks to reveal that when the mainstream media have failed to represent the issues of a local community, it is the independent media platforms like VV which function as a veritable source of information and sharing of knowledge. Most importantly, this paper emphasizes that the communicative model of independent community-based online platforms has been most successful in the coverage of the pandemic and the level of engagement with the citizenry.

The study contributes to the aspects of reciprocity and collaborative journalism in community news media and its potential impacts on news creation and dissemination.