scholarly journals Diversifying or Reinforcing Science Communication? Examining the Flow of Frame Contagion Across Media Platforms

2019 ◽  
Vol 97 (1) ◽  
pp. 98-117
Author(s):  
S. Mo Jones-Jang ◽  
P. Sol Hart ◽  
Lauren Feldman ◽  
Won-Ki Moon

This study investigated whether increased technological affordances, characterized by the rise of social media, diversified communication in climate change discourse. Extending the literature of intermedia agenda setting, this study examined agenda and frame contagion across Twitter and online news media. Using a large dataset of media content about climate change, time-series analysis showed that news media played a major role in setting agendas and frames, but Twitter has increased its dominance in climate change discussions. The findings address both opportunities for strategic science communication and challenges resulting from unverified scientific claims (e.g., hoax frames) spread on social media.

Significance The new rules follow a stand-off between Twitter and the central government last month over some posts and accounts. The government has used this stand-off as an opportunity not only to tighten rules governing social media, including Twitter, WhatsApp, Facebook and LinkedIn, but also those for other digital service providers including news publishers and entertainment streaming companies. Impacts Government moves against dominant social media platforms will boost the appeal of smaller platforms with light or no content moderation. Hate speech and harmful disinformation are especially hard to control and curb on smaller platforms. The new rules will have a chilling effect on online public discourse, increasing self-censorship (at the very least). Government action against online news media would undercut fundamental democratic freedoms and the right to dissent. Since US-based companies dominate key segments of the Indian digital market, India’s restrictive rules could mar India-US ties.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benny Nuriely ◽  
Moti Gigi ◽  
Yuval Gozansky

Purpose This paper aims to analyze the ways socio-economic issues are represented in mainstream news media and how it is consumed, understood and interpreted by Israeli young adults (YAs). It examines how mainstream media uses neo-liberal discourse, and the ways YAs internalize this ethic, while simultaneously finding ways to overcome its limitations. Design/methodology/approach This was a mixed methods study. First, it undertook content analysis of the most popular Israeli mainstream news media among YAs: the online news site Ynet and the TV Channel 2 news. Second, the authors undertook semi-structured in-depth interviews with 29 Israeli YAs. The analysis is based on an online survey of 600 young Israelis, aged 18–35 years. Findings Most YAs did not perceive mainstream media as enabling a reliable understanding of the issues important to them. The content analysis revealed that self-representation of YAs is rare, and that their issues were explained, and even resolved, by older adults. Furthermore, most of YAs' problems in mainstream news media were presented using a neo-liberal perspective. Finally, from the interviews, the authors learned that YAs did not find information that could help them deal with their most pressing economic and social issue, in the content offered by mainstream media. For most of them, social media overcomes these shortcomings. Originality/value Contrary to research that has explored YAs’ consumerism of new media outlets, this article explores how YAs in Israel are constructed in the media, as well as the way in which YAs understand mainstream and new social media coverage of the issues most important to them. Using media content analysis and interviews, the authors found that Young Adults tend to be ambivalent toward media coverage. They understand the lack of media information: most of them know that they do not learn enough from the media. This acknowledgment accompanies their tendency to internalize the neo-liberal logic and conservative Israeli national culture, in which class and economic redistribution are largely overlooked. Mainstream news media uses neo-liberal discourse, and young adults internalize this logic, while simultaneously finding ways to overcome the limitations this discourse offers. They do so by turning to social media, mainly Facebook. Consequently, their behavior maintains the logic of the market, while also developing new social relations, enabled by social media.


2017 ◽  
Vol 22 (3) ◽  
pp. 275-293 ◽  
Author(s):  
Raymond A. Harder ◽  
Julie Sevenans ◽  
Peter Van Aelst

Intermedia agenda setting is a widely used theory to explain how content transfers between news media. The recent digitalization wave, however, challenges some of its basic presuppositions. We discuss three assumptions that cannot be applied to online and social media unconditionally: one, that media agendas should be measured on an issue level; two, that fixed time lags suffice to understand overlap in media content; and three, that media can be considered homogeneous entities. To address these challenges, we propose a “news story” approach as an alternative way of mapping how news spreads through the media. We compare this with a “traditional” analysis of time-series data. In addition, we differentiate between three groups of actors that use Twitter. For these purposes, we study online and offline media alike, applying both measurement methods to the 2014 Belgium election campaign. Overall, we find that online media outlets strongly affect other media that publish less often. Yet, our news story analysis emphasizes the need to look beyond publication schemes. “Slow” newspapers, for example, often precede other media’s coverage. Underlining the necessity to distinguish between Twitter users, we find that media actors on Twitter have vastly more agenda-setting influence than other actors do.


2020 ◽  
Vol 9 (1) ◽  
pp. 1572-1575

Fake news is a coinage often used to refer to fabricated news that uses eye-catching headlines for increased sales rather than legitimate well-researched news, spread via online social media. Emergence of fake news has been increased with the immense use of online news media and social media. Low cost, easy access and rapid dissemination of information lead people to consume news from social media. Since the spread rate of these contents are faster it becomes difficult to identify the fake news from the accurate information. People can download articles from sites, share the content, re-share from others and by the end of the day the false information has gone far from its original site that it becomes very difficult to compare with the real news. It is a long standing problem that affects the digital social media due to its serious threats of misleading information, it creates an immense impact on the society. Hence the identification of such news are relevant and so certain measures needs to be taken in order to reduce or distinguish between the real and fake news. This paper provides a survey on recent past research papers done on this domain and provides an idea on different techniques on machine learning and deep learning that could help in the identification of fake and real news.


2019 ◽  
Author(s):  
Lisa Matthias ◽  
Alice Fleerackers ◽  
Juan Pablo Alperin

Through their coverage and framing, popular news media play an instrumental role in shaping public perception of important issues like the opioid crisis. Using a detailed coding instrument, we analyzed how opioid-related research was covered by US and Canadian online news media in 2017 and 2018, at the height of the crisis. We find that opioid-related research is not frequently mentioned in online news media, but when it is, it is most often framed as valid, certain, and trustworthy. Our results also reveal that the media predominantly present research findings without context, providing little information about the study design, methodology, or other relevant details—although there is variability in what kind of news stories mention opioid-related research, what study details they provide, and what frames they use. Potential implications for the future of science communication and science journalism, as well as the public perception and understanding of science, are discussed.


Corpora ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 227-257 ◽  
Author(s):  
Monika Bednarek

The sharing of news through social media platforms is now a significant part of mainstream online media use and is an increasingly important consideration in journalism practice and production. This paper analyses the linguistic characteristics of online news sharing on Facebook, with a focus on evaluation and news values in a corpus of the 100 ‘most shared’ news items from ‘heritage’ English-language news media organisations. Analyses combine corpus linguistic techniques (semantic tagging, frequency analysis, concordancing) with manual, computer-aided annotation. The main focus is on discursive news values analysis (DNVA), which examines how news values are established through semiotic resources, enabling new empirical insights into shared news and adding a specific linguistic focus to the emerging literature on news sharing. Results suggest that all ‘traditional’ news values appear to be construed in the shared news corpus and that there is variety in terms of the items that are widely shared. At the same time, the news values of Eliteness, Superlativeness, Unexpectedness, Negativity and Timeliness seem especially important in the corpus. The findings also indicate that ‘unexpected’ and ‘affective’ news items may be shared more, and that Negativity is a more important news value than Positivity.


Author(s):  
Elena Pilipets

This paper explores the anomalous role that today’s social media environments play in the dynamics of affective amplification through viral visual content. Affected by the post 9/11 logic of media securitization, the circulation of manipulated images and internet memes has created an atmosphere of controversial sentiments and irrational facts. The prevalent experience of disorientation that perpetuates itself in these relations feeds on the everyday micro-anticipations of claim and counterclaim, making the double binary of fact and fiction, source and adaptation impossible to sustain. Against this background, the discussion will focus on how the viral spread of one particular image during the refugee crisis has contributed to the emergence of the issue of ‘terrorist refugees’. Exploring the infrastructures of media alert behind this issue, I address the re- and premediating forces at play in the circulation of the image as faketual. Rather than relying on the availability of valid sources, networked formations of faketuality feel true even they are known to be fabricated. I develop this argument by adapting digital methods to reflect on the shifts in controversial relations of relevance/visibility as they unfold through our everyday encounters with search engines, online news media, and social platforms.


Author(s):  
Leona Yi-Fan Su ◽  
Heather Akin ◽  
Dominique Brossard

In recent years, increased Internet access and new communication technologies have led to the development of online methods for gathering public opinion and behavioral data related to controversial issues like climate change. To help climate-change researchers better adapt to the new era of online-based research, a review of, and methodological applications for, prevailing Internet-based research methods are provided here. Online surveys have become more common in the last decade for several reasons, including their relatively low administration cost, the pervasiveness of Internet communication, and declining response rates associated with traditional survey methods. Experiments embedded within online surveys have also become a useful tool for examining the extent to which online communications influence publics’ attitudes and behaviors. Other research methods that have gained growing attention from scholars are content analyses of online communication using big data approaches. By mining the seemingly infinite amount of user-generated content extracted from different social media sites, researchers are able to analyze issue awareness, responses to instant news, and emerging sentiments. This article provides a detailed overview of these Internet-based research methods, including their potential advantages and pitfalls, their applications in the science-communication and climate-change research fields, as well as suggestions for future research.


Sign in / Sign up

Export Citation Format

Share Document