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Marginalizing the Mainstream: How Social Media Privilege Political Information

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 commensurabilit...

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Detalles Bibliográficos
Autor principal: Rogers, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290493/
https://www.ncbi.nlm.nih.gov/pubmed/34296078
http://dx.doi.org/10.3389/fdata.2021.689036
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author Rogers, Richard
author_facet Rogers, Richard
author_sort Rogers, Richard
collection PubMed
description 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.
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spelling pubmed-82904932021-07-21 Marginalizing the Mainstream: How Social Media Privilege Political Information Rogers, Richard Front Big Data Big Data 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. Frontiers Media S.A. 2021-07-06 /pmc/articles/PMC8290493/ /pubmed/34296078 http://dx.doi.org/10.3389/fdata.2021.689036 Text en Copyright © 2021 Rogers. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Rogers, Richard
Marginalizing the Mainstream: How Social Media Privilege Political Information
title Marginalizing the Mainstream: How Social Media Privilege Political Information
title_full Marginalizing the Mainstream: How Social Media Privilege Political Information
title_fullStr Marginalizing the Mainstream: How Social Media Privilege Political Information
title_full_unstemmed Marginalizing the Mainstream: How Social Media Privilege Political Information
title_short Marginalizing the Mainstream: How Social Media Privilege Political Information
title_sort marginalizing the mainstream: how social media privilege political information
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290493/
https://www.ncbi.nlm.nih.gov/pubmed/34296078
http://dx.doi.org/10.3389/fdata.2021.689036
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