“Fake News” and Emerging Online Media Ecosystem: An Integrated Intermedia Agenda-Setting Analysis of the 2016 U.S. Presidential Election

2018 ◽  
Vol 47 (2) ◽  
pp. 178-200 ◽  
Author(s):  
Lei Guo ◽  
Chris Vargo

This study examined how fake news, misinformation, and satire, affected the emerging media ecosystem during the 2016 U.S. presidential election through an integrated intermedia agenda-setting analysis, which studies broad attributes and myopic stories and events. A computer-assisted content analysis of millions of news articles was conducted alongside a qualitative analysis of popular news headlines and articles. The results showed that websites that spread misinformation had a fairly close intermedia agenda-setting relationship with fact-based media in covering Trump, but not for the news about Clinton. Satire websites barely interacted with the agenda of other media outlets. Overall, it seemed that rather than playing a unique agenda-setting role in this emerging media landscape, fake news websites added some noise to an already sensationalized news environment.

2017 ◽  
Vol 20 (5) ◽  
pp. 2028-2049 ◽  
Author(s):  
Chris J Vargo ◽  
Lei Guo ◽  
Michelle A Amazeen

This study examines the agenda-setting power of fake news and fact-checkers who fight them through a computational look at the online mediascape from 2014 to 2016. Although our study confirms that content from fake news websites is increasing, these sites do not exert excessive power. Instead, fake news has an intricately entwined relationship with online partisan media, both responding and setting its issue agenda. In 2016, partisan media appeared to be especially susceptible to the agendas of fake news, perhaps due to the election. Emerging news media are also responsive to the agendas of fake news, but to a lesser degree. Fake news coverage itself is diverging and becoming more autonomous topically. While fact-checkers are autonomous in their selection of issues to cover, they were not influential in determining the agenda of news media overall, and their influence appears to be declining, illustrating the difficulties fact-checkers face in disseminating their corrections.


2020 ◽  
pp. 152-162
Author(s):  
Angèle Christin

This chapter explores the implications of web analytics for further studies of digital metrics beyond the case of journalism. At a time when nearly every domain is affected by analytics and algorithms, the chapter also provides an overview of what kinds of changes are to be expected and what should not be taken for granted whenever metrics take over. It describes how online media became a different place following the election of Donald Trump as the forty-fifth president of the United States in which news organizations and digital platforms entered into a political and economic maelstrom. It investigates the moral panic surrounding the uncovering of “content farms” and the stream of tweets from the White House labelling mainstream news organizations as “fake news” that caused the media ecosystem to become the center of new controversies about the future of information and democracy. The chapter also shows how news websites can bear some responsibility for problematic developments in journalism.


2017 ◽  
Vol 38 (1) ◽  
pp. 97-112
Author(s):  
Dmitry Yagodin ◽  
Matthew Tegelberg

Abstract Focusing on a story exposing Donors Trust (DT) as a funding source for climate denial campaigns, we introduce actor-network theory (ANT) as a methodological tool for studying online intermedia agenda-setting. The DT story, unveiled by prominent British media in early 2013, had the potential to become a global media sensation. However, this did not occur in two distinct communication actor-networks, Russia and Canada, raising questions regarding climate change journalism and agenda-setting in contemporary networked news environments. This article takes a fresh approach to studying agenda-setting processes by using ANT to trace connections between national climate agendas, networks of power and sites of mediated information. By mapping ties between attributes of DT story actor-networks, it illuminates moments that preclude or facilitate intermedia agenda-setting in online media networks. This demonstrates ANT’s potential to help better understand processes of information dissemination in an era characterised by the exceptional interconnectedness of media landscapes.


2021 ◽  
Vol volume 05 (issue 2) ◽  
pp. 73-85
Author(s):  
Abdul Rehman Qaisar ◽  
Zowaina Azhar ◽  
Faiza Bajwa

Present study comprised of Ante Meridiem (AM) vs Post Meridiem (PM) intermedia agenda-setting between newspapers’ websites and twitter. Data regarding Turkish President’s visit to Pakistan has been collected from website of “The Nation” and “Twitter”. Study found significant synchronous correlation (X2Y2) between Twitter and The Nation during Post Meridian (PM) (r1= +0.472, r2= +0.841 and r3= +0.752). Reduced posting on Twitter and newspaper’ websites has been observed during AM time period. Finding depicts gradual content build-up (simultaneous basis) on Twitter and news websites during the PM time period. Finding indicates increasing integration between social media and news-websites due to synchronization. Vast majority of Twitter posts are based on clippings of newspapers stories or footages from news channels. In Pakistan tweets of politician, military representatives, and media persons are flashed as breaking news and the same is given coverage prominently on news-websites. The study has also observed consistent use of social media cells by political parties for pushing agendas on social media to get attention on other media outlets. Circular model for network journalism and simultaneous agenda setting has been proposed. Model elaborates how contents move in a circular way in network journalism environment.


Author(s):  
Yan Su ◽  
Xizhu Xiao

Abstract This study systematically reviewed empirical intermedia agenda setting (IAS) research published between 1997 and 2019 in terms of the level of agenda-setting, the methodologies – including the coding strategies and time-series analytical techniques – the types of media, and the flow of IAS effects. According to our results, previous IAS studies exhibited the following trends: (1) an overwhelming majority of the IAS studies was anchored by the first agenda-setting level, whilst examinations of the NAS model and multiple levels have increased in recent years; (2) excessive IAS studies performed content analyses, (3) applied manual coding strategies, (4) conducted cross-lagged correlation analyses to examine time-series effects, (5) and focused on newspapers and Twitter; (6) most IAS research confirmed the flow from one traditional media to another traditional media, whereas more recent studies also revealed the flow from traditional to emerging media, and their reciprocal relationship; (7) the majority of IAS studies confirmed the elite-to-non-elite flow of IAS effects. Based on these findings, this study encourages futures IAS researchers to attach more importance to (1) contextual diversity, (2) balanced examinations of each agenda-setting level, (3) methodological innovations, (4) technological pluralism, and (5) providing more evidence for the flow of IAS effects across different types of media.


2018 ◽  
Vol 73 ◽  
pp. 14006
Author(s):  
Hedi Pudjo Santosa ◽  
Nurul Hasfi ◽  
Triyono Lukmantoro

In the internet era, a hoax is a real threat for democracy, as it spreads misleading and fake information that creats uncertain political communication. During the 2014 Indonesian presidential election, a hoax was rapidly spreading thorough social media. Morover, in Indonesian political context, a hoax construct strategically by using primordialism issue. This study uses critical discourse analysis to identify a pattern of hoax during the 2014 Indonesian presidential election, particularly to show how primordialism constructs an unequel society. The data was taken from political discussion among 8 influential Twitter accounts, two months before the election. The study found that 1) A hoax was produced by using many techniques; 2) Mainstream ‘online media’ involved in the production of the hoax, particularly by constructing sensational headline. Meanwhile, fake news commonly produced and distributed by pseudonym Twitter accounts; 3) Both hoax and fake news generally run under a mechanism of primordialism issue.


2021 ◽  
Vol 6 (1) ◽  
pp. 29
Author(s):  
Suraya Mansur ◽  
Nurhayani Saragih ◽  
Rajab Ritonga ◽  
Novita Damayanti

This research aims to determine the extent to which teenagers distinguish true news from fake news and how these fake news affect adolescents’cognition. A lot of hoax information has sprung up on social media, especially during the 2019 Indonesian presidential election. The ability to check on the information spread in online media is influenced by each individual’s cognitive abilities. A person’s cognitive ability is to think rationally, including aspects of knowledge, understanding, application, analysis, synthesis, and evaluation. This study used an explanative survey method with a quantitative positivistic paradigm. The results showed that the most influencing X variable to the Y variable was the Satire variable, which is positive and unidirectional. The Hoax variable has the most influence on cognitive abilities, even though the value is negative and not unidirectional. This means, the lower the understanding of Hoax, the higher the level of cognitive abilities.


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