Attention to news and its dissemination on Twitter: A survey

In recent years, news media have been hugely disrupted by news promotion, commentary and sharing in online, social media (e.g., Twitter, Facebook, and Reddit). This disruption has been the subject of a significant literature that has largely used AI techniques – machine learning, text analytics and network models – to both (i) understand the factors underlying audience attention and news dissemination on social media (e.g., effects of popularity, type of day) and (ii) provide new tools/guidelines for journalists to better disseminate their news via these social media. This paper provides an integrative review of the literature on the professional reporting of news on Twitter; focusing on how journalists and news outlets use Twitter as a platform to disseminate news, and on the factors that impact readers’ attention and engagement with that news on Twitter. Using the precise definition of a news-tweet (i.e., divided into user, content and context features), the survey structures the literature to reveal the main findings on features affecting audience attention to news and its dissemination on Twitter. From this analysis, it then considers the most effective guidelines for digital journalists to better disseminate news in the future.     

Networked Press Freedom and Social Media: Tracing Historical and Contemporary Forces in Press‐Public Relations

This paper analyzes how mainstream, online news organizations understand press autonomy in their relationships to audiences. I situate the press in terms of neo‐institutional sociology, seeing its autonomy as a distributed, field‐level phenomenon involving “boundary work” among distributed actors. I then trace press‐audience relations through two historical examples (letters to the editor and ombudsmen), showing how the press has historically both separated itself from and relied upon audiences. Examining eight news organizations' social media policies, I analyze the “inside‐out” and “outside‐in” forces through which the press distinguishes itself from audiences, concluding with a discussion of how such guidelines structure the types of control that news organizations have, or might have, as they use social network sites in their news work.     

Effects of the News‐Finds‐Me Perception in Communication: Social Media Use Implications for News Seeking and Learning About Politics

With social media at the forefront of today's media context, citizens may perceive they don't need to actively seek news because they will be exposed to news and remain well‐informed through their peers and social networks. We label this the “news‐finds‐me perception,” and test its implications for news seeking and political knowledge: “news‐finds‐me effects.” U.S. panel‐survey data show that individuals who perceive news will find them are less likely to use traditional news sources and are less knowledgeable about politics over time. Although the news‐finds‐me perception is positively associated with news exposure on social media, this behavior doesn't facilitate political learning. These results suggest news continues to enhance political knowledge best when actively sought.     

The ‘Privacy Paradox’ in the Social Web: The Impact of Privacy Concerns,Individual Characteristics,and the Perceived Social Relevance on Different Forms of Self‐Disclosure

Given the diffusion of the Social Web and increased disclosure of personal information online, the ‘privacy paradox’ suggests that while Internet users are concerned about privacy, their behaviors do not mirror those concerns. This study investigates the potential influence of privacy concerns, psychological traits, attitudes to the Social Web and age on self‐disclosure. Using an online survey of a representative sample of German Internet users (n = 2, 739), the variety and quality of self‐disclosure as well as access were measured. The findings indicate that privacy concerns hardly impact self‐disclosure, but different variables moderate this relation. Perceived social relevance and the number of applications used proved important. Users' general willingness to disclose is most important when providing sensitive information.     

Online Conversation and Corporate Reputation: A Two‐Wave Longitudinal Study on the Effects of Exposure to the Social Media Activities of a Highly Interactive Company

In this paper, we investigate whether and to what extent exposure to a company's social media activities over time is beneficial for corporate reputation, and whether conversational human voice mediates this relation. In a two‐wave longitudinal survey among 1969 respondents, we assessed consumers' exposure to an international airline's social media activities, perceived level of conversational human voice and perception of corporate reputation. The results show that consumers' level of exposure to company social media activities precedes perceptions of corporate reputation. Also, conversational human voice mediates the relation between consumers' level of exposure to company social media activities and perceptions of corporate reputation. We discuss the implications of the results for the presence of organizations in social media.     

Third-Person Perceptions and Online Games: A Comparison of Perceived Antisocial and Prosocial Game Effects

The popularity of online games has inspired controversial discussion on the effects of game-play in both mass media and academia. However, we know little about ordinary people's opinions about the effects of game-play. The current study applies the theory of the third-person effect (TPE) to examine people's perceptions of game effects on self and on others, and detects significant third-person perceptual discrepancies. The results show that the magnitude of third-person perceptions is influenced by the social desirability of the message, the social distance between self and others, and by differential exposure to online games. The data supports the hypotheses that Internet efficacy and interdependent self-construal are significant antecedents of third-person perceptions, and partially supports the interaction effect of self-construal with Internet-efficacy and the interaction effect of self-construal with media social desirability.     

The Shot Heard Around the World Wide Web: Who Heard What Where About Osama bin Laden's Death

This study investigated what sources were relied on to find out about Osama bin Laden's death and whether perceptions of credibility and political party affiliation influenced these media choices. The most striking difference in media reliance for bin Laden news was that whatever sources Tea Partiers relied on and thought credible were those that Democrats did not rely on or see as credible. Despite the clamor about how quickly news flows through social network sites and Twitter, only about 5% of respondents first heard about bin Laden through these sources and a slightly larger percentage spread the news via these tools. Moreover, social network sites and Twitter were the least relied on about the aftermath of bin Laden's death.     

Reflecting on Connecting: Meta‐Analysis of Differences Between Computer‐Mediated and Face‐to‐Face Self‐Disclosure

Self‐disclosure is a key concept in computer‐mediated communication (CMC) theory and research, but disagreement exists about the impact of CMC, relative to face‐to‐face (FtF) communication, on self‐disclosure. We conducted a meta‐analysis of studies comparing self‐disclosure in CMC and FtF communication to summarize and clarify existing research. We also examined potential moderators of this difference—measure of self‐disclosure, study design (survey or experiment), interaction context (task or social), type of CMC (text‐based or video‐based), and interaction length. Overall, self‐disclosure was higher in FtF communication than in CMC. Measure of self‐disclosure, study design, and type of CMC moderated this difference. Findings suggest mixed support for predictions derived from key CMC theories and a need for CMC theory to more explicitly address self‐disclosure.     

The Relationship Between Facebook Use and Well‐Being Depends on Communication Type and Tie Strength

An extensive literature shows that social relationships influence psychological well‐being, but the underlying mechanisms remain unclear. We test predictions about online interactions and well‐being made by theories of belongingness, relationship maintenance, relational investment, social support, and social comparison. An opt‐in panel study of 1,910 Facebook users linked self‐reported measures of well‐being to counts of respondents' Facebook activities from server logs. Specific uses of the site were associated with improvements in well‐being: Receiving targeted, composed communication from strong ties was associated with improvements in well‐being while viewing friends' wide‐audience broadcasts and receiving one‐click feedback were not. These results suggest that people derive benefits from online communication, as long it comes from people they care about and has been tailored for them.     

Social media metrics: Third-person perceptions of health information

The present study investigated the role of social media metrics (i.e., number of shares and comments) displayed alongside online news stories in shaping users’ perceptions of the content and its influence. In a web-based experiment (N = 144), participants first read a cancer news story that displayed either a high or a low level of social media metrics, then reported their perceived story influence on the self and others, as well as their behavioral intentions. In the low social media metrics condition, the general story influence was perceived to be stronger for others than for the self, indicative of the “third-person effect.” This effect, however, was diminished to insignificant levels in the high social media metrics condition. Further, social media metrics had an ultimate indirect effect on behavioral intentions via the third-person effect. Theoretical and practical implications of these findings are provided in the end.     

News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking

Polls show a strong decline in public trust of traditional news outlets; however, social media offers new avenues for receiving news content. This experiment used the Facebook API to manipulate whether a news story appeared to have been posted on Facebook by one of the respondent's real‐life Facebook friends. Results show that social media recommendations improve levels of media trust, and also make people want to follow more news from that particular media outlet in the future. Moreover, these effects are amplified when the real‐life friend sharing the story on social media is perceived as an opinion leader. Implications for democracy and the news business are discussed.     

Should I Share That? Prompting Social Norms That Influence Privacy Behaviors on a Social Networking Site

This study examines how explicit and implicit cues to social norms affect disclosure and privacy decisions in a Social Network Site (SNS) context. Study 1 revealed that participants' disclosure behavior adhered to explicit cues indicating disclosure frequency norms, while implicit social norm cues (i.e., surveillance primes) acted to increase overall disclosure frequency and affect disclosure accuracy when explicit cues discourage disclosure. Study 2 explored how these cues affected privacy‐setting decisions and found that explicit cues indicating others' privacy settings could increase how strictly participants set their privacy settings, but the implicit cues had no effect. These results suggest that explicit cues about SNS norms can trigger bandwagon heuristic processing, and that, under limited circumstances, surveillance primes can affect self‐disclosure.     

Intrusion of software robots into journalism: The public's and journalists' perceptions of news written by algorithms and human journalists

This study adopted a two (author: algorithm or journalist) by two (notification of author: real or inverse) between subject design to investigate how the public and journalists perceive the quality of algorithms-written articles compared with human journalist's work. Findings showed that both the public and journalists' evaluations were varied by the manipulation of author notification. That is, the public gave higher scores to the algorithm's work when it was notified as the real author, but they gave lower scores to the algorithm's work when the author was notified as a journalist. It confirmed the public's negative attitude toward journalists' credibility and craving for new information and communication technology (ICT) products/services in Korea. Based on journalists' resistance to change and innovation and the theory of prejudice, it was expected that journalists would be favorable to another journalist's work and unfavorable to an algorithm's work. However, contrary to the hypothetical expectation, journalists also gave higher scores to an algorithm's work and lower scores to a journalist's work. Implications relating to the intrusion of algorithm-written articles into journalism were discussed.     

The Hyperlinked World: A Look at How the Interactions of News Frames and Hyperlinks Influence News Credibility and Willingness to Seek Information

Prior research has identified the influence of using hyperlinks in online information gathering. This study attempts to understand first, how hyperlinks can influence individuals' perceptions of news credibility and information‐seeking behavior. Second, the paper extends previous research by examining the interaction of hyperlinks with the content of the story. In doing so, the paper examines the influence of hyperlinks on news frames. The data for the study were collected using 2 experiments embedded in web‐based survey of participants. Findings show that hyperlinks in news stories can increase perceptions of credibility as well as information‐seeking. Results reveal the interaction of news frames in the process; hyperlinks increase participants' perception of news credibility; but only in the value‐framed condition. Implications are discussed.     

Perceptions of News Credibility about the War in Iraq: Why War Opponents Perceived the Internet as the Most Credible Medium

This study investigated cross‐media credibility perception with respect to news coverage about the Iraq War. In an environment of political partisanship, perceptions of media credibility were likely affected by the audience’s political position on the war. Based on hostile media effect theory, a set of hypotheses was proposed to investigate whether the minority opinion group, war opponents, evaluated the Internet as a more credible medium than did neutrals or supporters. An online survey was conducted to which 481 people responded (71% war supporters, 19% opponents, 10% neutrals). Results showed that opponents of the war perceived the Internet as less aligned with a pro‐government position and as more credible than did neutrals or supporters. The opponent group also showed a strong negative correlation between perceived pro‐government alignment and perceptions of Internet credibility. For the minority partisan group, the diversity of information and views on the war was the main reason for the perception of high credibility of the Internet as a news channel.     

Social Media Analysis and Public Opinion: The 2010 UK General Election

Social media monitoring in politics can be understood by situating it in theories of public opinion. The multimethod study we present here indicates how social media monitoring allow for analysis of social dynamics through which opinions form and shift. Analysis of media coverage from the 2010 UK General Election demonstrates that social media are now being equated with public opinion by political journalists. We use interviews with pollsters, social media researchers and journalists to examine the perceived link between social media and public opinion. In light of competing understandings these interviews reveal, we argue for a broadening of the definition of public opinion to include its social dimension.     

Is Anybody Out There?: Understanding Masspersonal Communication Through Expectations for Response Across Social Media Platforms

This work extends the masspersonal communication model (MPCM; O'Sullivan & Carr, 2017) by introducing anticipated interaction as a way to understand variations within the masspersonal continuum. Drawing from Thompson's mediated communication framework (1995), we argue that anticipated interaction paves the way for establishing a communicative relationship between interactants. In social media, this relationship is rooted in a sender's expectations for audience response and the imagined responsive audience. Using experience sampling, we show that anticipated interaction varies across social media. Further, we outline the relational and situational factors associated with expecting response and the specificity of imagined responsive audience. These variations and their sources characterize masspersonal communication as a socially and technologically situated practice shaped by multiple intersecting influences.     

Proof-of-concept of an information visualization classification approach based on their fine-grained features

The misinformation problem affects the development of the society. Misleading content and unreliable information overwhelm social networks and media. In this context, the use of data visualizations to support news and stories is increasing. The use of misleading visualizations both intentionally or accidentally influence in the audience perceptions, which usually are not visualization and domain experts. Several factors influence o accurately tag a visualization as confusing or misleading. In this paper, we present a machine learning approach to detect if an information visualization can be potentially confusing and misunderstood based on the analytic task it tries to support. This approach is supported by fine-grained features identified through domain engineering and meta modelling on the information visualization and dashboards domain. We automatically generated visualizations from a tri-variate dataset through the software product line paradigm and manually labelled them to obtain a training dataset. The results support the viability of the proposal as a tool to support journalists, audience and society in general, not only to detect confusing visualizations, but also to select the visualization that supports a previous defined task according to the data domain.     

Experiencing motivational conflict on social media in a crisis situation: The case of the Chick-fil-A same-sex marriage controversy

This study examined the relationship between motivational conflict involving social media use and attitude formation in a brand crisis situation. An online experiment was conducted with 658 participants using a 2 (news-article valence: positive vs. negative) × 2 (situational cue valence: positive vs. negative) between-subjects design. During the experiment, participants loyal to Chick-fil-A (defense-motivated) were asked to communicate the brand through the brand's social networking sites (SNSs) while receiving a cue for the SNS audience's general unfavorable opinions on the crisis issue, the Chick-fil-A same-sex marriage controversy (impression-motivated). It was found that when motivational conflict was experienced (defense vs. impression), (1) individuals' brand attitudes were affected more by objective information such as a news article than by a cue for audience opinion and (2) their positive brand-related cognitions were countervailed by their impression-related cognitions. Overall, the findings suggest that it is not always desirable for a company to encourage customers to engage in SNS-facilitated interaction in a crisis situation.     

Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources on Twitter During the Tunisian and Egyptian Revolutions

News sourcing practices are critical as they shape from whom journalists get their information and what information they obtain, mostly from elite sources. This study evaluates whether social media platforms expand the range of actors involved in the news through a quantitative content analysis of the sources cited by NPR's Andy Carvin on Twitter during the Arab Spring. Results show that, on balance, nonelite sources had a greater representation in the content than elite sources. Alternative actors accounted for nearly half of the messages. The study points to the innovative forms of production that can emerge with new communication technologies, with the journalist as a central node trusted to authenticate and interpret news flows on social awareness streams.