scholarly journals Hostile media bias on social media: Testing the effect of user comments on perceptions of news bias and credibility

2020 ◽  
Vol 2 (2) ◽  
pp. 140-148
Author(s):  
Sherice Gearhart ◽  
Alexander Moe ◽  
Bingbing Zhang
Keyword(s):  
Social Media ◽  
Media Bias ◽  
User Comments ◽  
News Bias ◽  
Hostile Media

Social media users (under)appreciate the news: An application of hostile media bias to news disseminated on Facebook

2021 ◽  
pp. 073953292110470
Author(s):  
Sherice Gearhart ◽  
Alexander Moe ◽  
Derrick Holland
Keyword(s):  
Social Media ◽  
Media Bias ◽  
News Story ◽  
News Content ◽  
User Comments ◽  
Subject Experiment ◽  
Influence Perceptions ◽  
Hostile Media

News outlets rely on social media to freely distribute content, offering a venue for users to comment on news. This exposes individuals to user comments prior to reading news articles, which can influence perceptions of news content. A 2 × 2 between-subject experiment (N = 690) tested the hostile media bias theory via the influence of comments seen before viewing a news story on perceptions of bias and credibility. Results show that user comments induce hostile media perceptions.

Hostile Media or Hostile Source? Bias Perception of Shared News

2016 ◽  
Vol 36 (1) ◽  
pp. 21-35 ◽  
Author(s):  
Gi Woong Yun ◽  
Sung-Yeon Park ◽  
Sooyoung Lee ◽  
Mark A. Flynn
Keyword(s):  
College Students ◽  
Regression Analysis ◽  
Political Orientation ◽  
The Other ◽  
News Story ◽  
News Organization ◽  
Other Hand ◽  
User Comments ◽  
News Bias ◽  
Hostile Media

An experiment was conducted with college students to examine the effects of source and user comments on the perceptions of a shared news story embedded in a blog post. When the shared news was credited to a news organization source incongruent with the participants’ political orientation, it was perceived to be biased against the participants’ issue position. When credited to a congruent source, the same news was perceived to be biased in favor of the participants’ position. In addition, the shared news from an incongruent source was perceived to have greater influence on others’ issue position than the same news from a congruent source, although perceived reach of the shared news was not different between the two conditions. A subsequent regression analysis identified source and perceived influence, but not perceived reach, as predictors of news bias perception. On the other hand, the second factor, user comments either agreeable or disagreeable to the participants’ issue position, did not influence how the shared news was perceived. In the discussion, theoretical implications of these findings are elaborated, and suggestions are made to refine the methods of shared news research.

scholarly journals Polarized platforms? How partisanship shapes perceptions of “algorithmic news bias”

2021 ◽  
pp. 146144482110341
Author(s):  
Mikhaila N. Calice ◽  
Luye Bao ◽  
Isabelle Freiling ◽  
Emily Howell ◽  
Michael A. Xenos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
New Technologies ◽  
Media Bias ◽  
Survey Experiment ◽  
Representative Survey ◽  
News Content ◽  
Social Media Platforms ◽  
Nationally Representative ◽  
News Bias

The use of artificial intelligence-based algorithms for the curation of news content by social media platforms like Facebook and Twitter has upended the gatekeeping role long held by traditional news outlets. This has caused some US policymakers to argue that platforms are skewing news diets against them, and such claims are beginning to take hold among some voters. In a nationally representative survey experiment, we explore whether traditional models of media bias perceptions extend to beliefs about algorithmic news bias. We find that partisan cues effectively shape individuals’ attitudes about algorithmic news bias but have asymmetrical effects. Specifically, whereas in-group directional partisan cues stimulate bias perceptions for members of both parties, Democrats, but not Republicans, also respond to out-group cues. We conclude with a discussion about the implications for the formation of attitudes about new technologies and the potential for polarization.

Hostile Media Perceptions in the Age of Social Media: Following Politicians, Emotions, and Perceptions of Media Bias

2019 ◽  
Vol 63 (3) ◽  
pp. 374-392 ◽  
Author(s):  
Brian E. Weeks ◽  
Dam Hee Kim ◽  
Lauren B. Hahn ◽  
Trevor H. Diehl ◽  
Nojin Kwak
Keyword(s):  
Social Media ◽  
Media Bias ◽  
Hostile Media

scholarly journals “You Go, Girl:” How Facebook and Instagram impacted the post-feminist construction of Electric Forest’s Women’s Program

2021 ◽  
Author(s):  
Rebecca Krauss
Keyword(s):  
Social Media ◽  
Qualitative Analysis ◽  
Electronic Music ◽  
Past Research ◽  
Music Festival ◽  
User Comments ◽  
Media Applications ◽  
The Way

In February of 2016, Electric Forest — a four-day electronic music festival from June 23-26 in Rothbury, Michigan —announced a women’s only program called Her Forest. The initiative’s aim was to facilitate feelings of “connection, inspiration, and comfort” (Weiner, 2016) amongst the festival’s female guests. This MRP draws from past research on influence and postfeminism to consider how the Electric Forest brand, as well as its online followers, constructed and discussed Her Forest via Facebook and Instagram. A directed qualitative analysis was applied to 21 of Electric Forest’s Facebook and Instagram posts and 110 associated user comments. The analysis emphasized the powerful impact that social media applications have on the way in which corporate messages are expressed, received, reshaped, supported, and challenged.

scholarly journals P112 SMILE: Sustaining Medical Education In a Lockdown Environment.Using social media to develop a free online access medical education platform during lockdown

BJS Open ◽  
2021 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
John Pascoe ◽  
Paul Foster ◽  
Muntasha Quddus ◽  
Angeliki Kosti ◽  
Francesca Guest ◽  
...  
Keyword(s):  
Social Media ◽  
Medical Education ◽  
Online Survey ◽  
Cost Effective ◽  
User Comments ◽  
Surgical Trainees ◽  
Social Media Platforms ◽  
Online Access ◽  
Education Platform

Abstract Introduction SMILE is a free online access medical education (FOAMEd) platform created by two UK surgical trainees and a medical student that delivered over 200 medical lectures during lockdown. Method The role of Social Media in the development of SMILE was interrogated using a survey sent to all SMILE participants and by analysing activity on SMILE social media platforms. Results 1306 students responded to the online survey with 57.2% saying they heard of SMILE through Facebook. Engagement using facebook remained highest with 13,819 members, over 800 user comments and >16,000 user reactions. 4% of the students heard of SMILE through Twitter or Instagram. Facebook analytics revealed the highest level of traffic when lectures were most commonly held suggesting students used Facebook to access lectures. Other educators were able to find SMILE on social media, leading to collaborations with other platforms. Throughout the survey many mentioned how social media created and maintained a community of medical students enhancing group-based learning Conclusions We demonstrate that social media platforms provide popular and cost-effective methods to promote, sustain & deliver medical education for students and educators.

Analysis Social Media Based Brand Communities and Consumer Behavior

2018 ◽  
Vol 14 (1) ◽  
pp. 37-53 ◽  
Author(s):  
Monireh Hosseini ◽  
Afsoon Ghalamkari
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Consumer Behaviour ◽  
Marketing Strategies ◽  
Consumer Decision Making ◽  
Business Managers ◽  
Analysis Software ◽  
Brand Communities ◽  
User Comments ◽  
Decision Making Styles

In today's highly competitive markets, business managers are always looking for new ways to increase awareness of their products and promote their brands. As such, they use a variety of marketing strategies to attract more customers. This study was implemented using a qualitative research method known as netnography in conjunction with MAXQDA data analysis software. Three smartphone brand communities were studied, and their popular brand pages (Samsung, Sony, and Huawei) were targeted on Instagram. This study consists of two parts. First, the researchers analyse the content of user comments to explore the consumer's brand attitude, purchase decision-making process, and consumer decision-making styles. In the second part, the content of posts of brands was coded in order to examine creative social media strategies used by these brands and measure their efficiency. Results offer valuable guidelines to brands with regards to consumer behaviour on social media.

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