Marginalizing the Mainstream: How Social Media Privilege Political Information

Author:

Rogers Richard

Abstract

The following reports on research undertaken concerning the “misinformation problem” on social media during the run-up to the U.S. presidential elections in 2020. Employing techniques borrowed from data journalism, it develops a form of cross-platform analysis that is attuned to both commensurability as well as platform specificity. It analyses the most engaged-with or top-ranked political content on seven online platforms: TikTok, 4chan, Reddit, Twitter, Facebook, Instagram and Google Web Search. Discussing the extent to which social media platforms marginalize mainstream media and mainstream the fringe, the analyses found that TikTok parodies mainstream media, 4chan and Reddit dismiss it and direct users to alternative influencer networks and extreme YouTube content. Twitter prefers the hyperpartisan over it. Facebook’s “fake news” problem also concerns declining amounts of mainstream media referenced. Instagram has influencers (rather than, say, experts) dominating user engagement. By comparison, Google Web Search buoys the liberal mainstream (and sinks conservative sites), but generally gives special interest sources, as they were termed in the study, the privilege to provide information rather than official sources. The piece concludes with a discussion of source and “platform criticism”, concerning how online platforms are seeking to filter the content that is posted or found there through increasing editorial intervention. These “editorial epistemologies”, applied especially around COVID-19 keywords, are part of an expansion of so-called content moderation to what I call “serious queries”, or keywords that return official information. Other epistemological strategies for editorially moderating the misinformation problem are also treated.

Funder

Framework Program

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Information Systems,Computer Science (miscellaneous)

Reference78 articles.

1. AFP Factcheck Nederland, Agence France-Presse2021

2. Trends in the Diffusion of Misinformation on Social media;Allcott;Res. Polit.,2019

3. Media Bias Ratings2020

4. Conspiracy Theories as Stigmatized Knowledge;Barkun;Diogenes,2016

5. Counter-speech: Examining Content that Challenges Extremism Online. Demos BartlettJ. Krasodomski-JonesA. 2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3