Negativity and Positivity Biases in Economic News Coverage: Traditional Versus Social Media

2017 ◽  
Vol 45 (7) ◽  
pp. 1078-1098 ◽  
Author(s):  
Stuart Soroka ◽  
Mark Daku ◽  
Dan Hiaeshutter-Rice ◽  
Lauren Guggenheim ◽  
Josh Pasek
Keyword(s):  
Social Media ◽  
Unemployment Rate ◽  
News Coverage ◽  
Negative Information ◽  
Information Propagation ◽  
Traditional Media ◽  
Past Work ◽  
Economic News ◽  
News Selection ◽  
The U.S

Past work suggests that the priorities for information propagation in social media may be markedly different from the priorities for news selection in traditional media outlets. We explore this possibility here, focusing on the tone of both newspaper and Twitter content following changes in the U.S. unemployment rate, from 2008 to 2014. Results strongly support the expectation that while the tone of newspaper content exhibits stronger reactions to negative information, the tone of Twitter content reacts more strongly to positive economic shifts.

scholarly journals Analysing inter-media agenda setting influence between Social media and electronic media; a perspective from Pakistan

2020 ◽  
Vol Volume 4 (Issue 2) ◽  
pp. 478-496
Author(s):  
Farrukh Shahzad ◽  
Prof. Dr. Syed Abdul Siraj
Keyword(s):  
Social Media ◽  
News Media ◽  
Agenda Setting ◽  
News Coverage ◽  
Electronic Media ◽  
Analysis Method ◽  
Traditional Media ◽  
Media Agenda ◽  
Content Analysis Method ◽  
Lagged Correlation

Inter-media agenda setting is a commonly used phenomenon to investigate the transfer of contents between news media. The recent digitization era challenges the traditional presuppositions. This study investigates the inter-media agenda setting influence between social media and traditional media. To address this question, the present study investigates first level agenda setting between Twitter and ARY news during Farishta murder case 2019. Content analysis method was used to assess agendas present within Twitter and ARY news. By employing cross-lagged correlation, the study investigates the inter-media agenda setting influence between Twitter agendas and of ARY news agendas. Aggregate findings of cross-lagged correlation reveal a clear agenda setting influence of Twitter on ARY news coverage agenda about Farishta murder case. The results of the study suggest that Twitter has the capability to influence broadcast agendas of television in Pakistan

Propagation Phenomena in Social Media

2019 ◽  
pp. 43-66
Author(s):  
Meeyoung Cha ◽  
Fabrício Benevenuto ◽  
Saptarshi Ghosh ◽  
Krishna Gummadi
Keyword(s):  
Social Media ◽  
Social Issues ◽  
Modern Society ◽  
Tie Strength ◽  
Information Propagation ◽  
Traditional Media ◽  
Social Conventions ◽  
User Influence ◽  
Wide Range ◽  
Different Types

Social media and blogging services have become extremely popular. Every day hundreds of millions of users share random thoughts, gossip, news, and thoughts on notable social issues. Users interact by following each other’s updates and passing along interesting pieces of information to their friends. Information therefore can diffuse widely and quickly through social links. Information propagation in networks such as Twitter and Facebook is unique, in that traditional media sources and word-of-mouth propagation coexist. The availability of digitally logged propagation events in social media helps one better understand how a wide range of factors that are essential in communication, such as user influence, tie strength, repeated exposures, mass media, and agenda setting, come into play in the way people generate and consume information in modern society. This chapter reviews the roles different types of users of social media play in information propagation as well as the resulting propagation patterns. It also discusses specific examples, including the spread of social conventions and identifying topic experts in social media, in an effort to bring about better understanding of the characteristics of propagation phenomena in large social networks.

The Friday Effect: Firm Lobbying, the Timing of Drug Safety Alerts, and Drug Side Effects

2020 ◽  
Vol 66 (8) ◽  
pp. 3677-3698
Author(s):  
Luis Diestre ◽  
Benjamin Barber ◽  
Juan Santaló
Keyword(s):  
Social Media ◽  
Side Effects ◽  
News Coverage ◽  
Healthcare Management ◽  
Drug Side Effects ◽  
The Past ◽  
Safety Alert ◽  
Day Of The Week ◽  
To Receive ◽  
The U.S

Safety alerts are announcements made by health regulators warning patients and doctors about new drug-related side effects. However, not all safety alerts are equally effective. We provide evidence that the day of the week on which the safety alerts are announced explains differences in safety alert impact. Specifically, we show that safety alerts announced on Fridays are less broadly diffused: they are shared 34% less on social media, mentioned in 23% to 66% fewer news articles, and are 12% to 51% less likely to receive any news coverage at all. As a consequence of this, we propose Friday alerts are less effective in reducing drug-related side effects. We find that moving a Friday alert to any other weekday would reduce all drug-related side effects by 9% to 12%, serious drug-related complications by 6% to 15%, and drug-related deaths by 22% to 36%. This problem is particularly important because Friday was the most frequent weekday for safety alert announcements from 1999 to 2016. We show that this greater prevalence of Friday alerts might not be random: firms that lobbied the U.S. Food and Drug Administration in the past are 49% to 56% more likely to have safety alerts announced on Fridays. This paper was accepted by Stefan Scholtes, healthcare management.

The Dynamics of Issue Frame Competition in Traditional and Social Media

2015 ◽  
Vol 659 (1) ◽  
pp. 207-224 ◽  
Author(s):  
Lauren Guggenheim ◽  
S. Mo Jang ◽  
Soo Young Bae ◽  
W. Russell Neuman
Keyword(s):  
Social Media ◽  
News Media ◽  
Media Framing ◽  
Online News ◽  
Reciprocal Relationship ◽  
Traditional Media ◽  
Mass Shootings ◽  
Media Reporting ◽  
Mass Shooting ◽  
The U.S

This study examines the dynamics of the framing of mass shooting incidences in the U.S. occurring in the traditional commercial online news media and Twitter. We demonstrate that there is a dynamic, reciprocal relationship between the attention paid to different aspects of mass shootings in online news and in Twitter: tweets tend to be responsive to traditional media reporting, but traditional media framing of these incidents also seems to resonate from public framing in the Twitterverse. We also explore how different frames become prominent as they compete among media as time passes after shooting events. Finally, we find that key differences emerge between norms of journalistic routine and how users rely on Twitter to express their reactions to these tragic shooting incidents.

scholarly journals When is the “Racist” Designation Truly Applicable? News Media’s Contribution to the Debatability of Racism

2021 ◽  
Vol 22 (2) ◽  
pp. 186-204
Author(s):  
Danielle K. Kilgo
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Content Analysis ◽  
Presidential Election ◽  
News Coverage ◽  
Media Audiences ◽  
Linguistic Representations ◽  
News Organizations ◽  
Facebook Pages ◽  
The U.S

Since the U.S. 2016 presidential election, journalists and news organizations have been forced to confront shifting racial, social and political climates, and re-evaluate practices and norms. However, news coverage of racism is complex, especially because the conceptualization of racism in society is discordant, and the parameters of racism are heavily debated. News coverage can contribute to this debatability, specifically when it presents issues of racism with certain linguistic and topical features. In a content analysis of social media posts from six of the Facebook pages maintained by national broadcast and newspaper organizations, the present study explores contextual and linguistic representations of racism, and how social media users on Facebook engage with news posted by these organizations. Results suggest representations in news coverage signal a public debate about what is and is not racism. Coverage heavily emphasized prominent figures, while social media audiences amplified Trump’s presence in social networks.

Exploring the Hidden Pattern From Tweets

2018 ◽  
pp. 937-957
Author(s):  
Ying Kei Tse ◽  
Minhao Zhang ◽  
Bob Doherty ◽  
Paul Chappell ◽  
Susan R. Moore ◽  
...  
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Customer Relations ◽  
Critical Role ◽  
News Coverage ◽  
Fiscal Crisis ◽  
Opinion Formation ◽  
Traditional Media ◽  
Integrated Method ◽  
Research Findings

Social media has recently emerged as a key tool to manage customer relations in industry. This chapter aims to contribute a step-by-step Twitter Analytic framework for analysing the tweets in a fiscal crisis. The proposed framework includes three major sections – demographic analytic, content analytic and integrated method analytic. This chapter provides useful insights to develop this framework through the lens of the recent Volkswagen emission scandal. A sizable dataset of #volkswagescandal tweets (8,274) was extracted as the research sample. Research findings based upon this sample include the following: Consumer sentiments are overall negative toward the scandal; some clustered groups are identified; male users expressed more interest on social media in the topic than female users; the popularity of tweets was closely related with the timing of news coverage, which indicates the traditional media is still playing a critical role in public opinion formation. The limitations and practical contribution of the current study are also discussed.

Exploring the Hidden Pattern from Tweets

2017 ◽  
pp. 172-198 ◽  
Author(s):  
Ying Kei Tse ◽  
Minhao Zhang ◽  
Bob Doherty ◽  
Paul Chappell ◽  
Susan R. Moore ◽  
...  
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Customer Relations ◽  
Critical Role ◽  
News Coverage ◽  
Fiscal Crisis ◽  
Opinion Formation ◽  
Traditional Media ◽  
Integrated Method ◽  
Research Findings

Social media has recently emerged as a key tool to manage customer relations in industry. This chapter aims to contribute a step-by-step Twitter Analytic framework for analysing the tweets in a fiscal crisis. The proposed framework includes three major sections – demographic analytic, content analytic and integrated method analytic. This chapter provides useful insights to develop this framework through the lens of the recent Volkswagen emission scandal. A sizable dataset of #volkswagescandal tweets (8,274) was extracted as the research sample. Research findings based upon this sample include the following: Consumer sentiments are overall negative toward the scandal; some clustered groups are identified; male users expressed more interest on social media in the topic than female users; the popularity of tweets was closely related with the timing of news coverage, which indicates the traditional media is still playing a critical role in public opinion formation. The limitations and practical contribution of the current study are also discussed.

Fake It “Till You Make It”: Debunking Fake News in a Post-Truth America

2019 ◽  
Vol 8 (1) ◽  
pp. 114-133
Keyword(s):  
Social Media ◽  
First Amendment ◽  
Presidential Election ◽  
Political Discourse ◽  
Cutting Edge ◽  
American People ◽  
Fake News ◽  
News Sources ◽  
The Media ◽  
The U.S

Since the 2016 U.S. presidential election, attacks on the media have been relentless. “Fake news” has become a household term, and repeated attempts to break the trust between reporters and the American people have threatened the validity of the First Amendment to the U.S. Constitution. In this article, the authors trace the development of fake news and its impact on contemporary political discourse. They also outline cutting-edge pedagogies designed to assist students in critically evaluating the veracity of various news sources and social media sites.

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