University Community Members’ Perceptions of Labels for Online Media

Fake news is prevalent in society. A variety of methods have been used in an attempt to mitigate the spread of misinformation and fake news ranging from using machine learning to detect fake news to paying fact checkers to manually fact check media to ensure its accuracy. In this paper, three studie...

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Autores principales: Ryan Suttle, Scott Hogan, Rachel Aumaugher, Matthew Spradling, Zak Merrigan, Jeremy Straub
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/8709ca373f2b4442a84a21038e263be5
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spelling oai:doaj.org-article:8709ca373f2b4442a84a21038e263be52021-11-25T17:39:48ZUniversity Community Members’ Perceptions of Labels for Online Media10.3390/fi131102811999-5903https://doaj.org/article/8709ca373f2b4442a84a21038e263be52021-10-01T00:00:00Zhttps://www.mdpi.com/1999-5903/13/11/281https://doaj.org/toc/1999-5903Fake news is prevalent in society. A variety of methods have been used in an attempt to mitigate the spread of misinformation and fake news ranging from using machine learning to detect fake news to paying fact checkers to manually fact check media to ensure its accuracy. In this paper, three studies were conducted at two universities with different regional demographic characteristics to gain a better understanding of respondents’ perception of online media labeling techniques. The first study deals with what fields should appear on a media label. The second study looks into what types of informative labels respondents would use. The third focuses on blocking type labels. Participants’ perceptions, preferences, and results are analyzed by their demographic characteristics.Ryan SuttleScott HoganRachel AumaugherMatthew SpradlingZak MerriganJeremy StraubMDPI AGarticlefake newsmedia labelingmisinformationperceptions of labeling online contentdeliberately deceptive contentInformation technologyT58.5-58.64ENFuture Internet, Vol 13, Iss 281, p 281 (2021)
institution DOAJ
collection DOAJ
language EN
topic fake news
media labeling
misinformation
perceptions of labeling online content
deliberately deceptive content
Information technology
T58.5-58.64
spellingShingle fake news
media labeling
misinformation
perceptions of labeling online content
deliberately deceptive content
Information technology
T58.5-58.64
Ryan Suttle
Scott Hogan
Rachel Aumaugher
Matthew Spradling
Zak Merrigan
Jeremy Straub
University Community Members’ Perceptions of Labels for Online Media
description Fake news is prevalent in society. A variety of methods have been used in an attempt to mitigate the spread of misinformation and fake news ranging from using machine learning to detect fake news to paying fact checkers to manually fact check media to ensure its accuracy. In this paper, three studies were conducted at two universities with different regional demographic characteristics to gain a better understanding of respondents’ perception of online media labeling techniques. The first study deals with what fields should appear on a media label. The second study looks into what types of informative labels respondents would use. The third focuses on blocking type labels. Participants’ perceptions, preferences, and results are analyzed by their demographic characteristics.
format article
author Ryan Suttle
Scott Hogan
Rachel Aumaugher
Matthew Spradling
Zak Merrigan
Jeremy Straub
author_facet Ryan Suttle
Scott Hogan
Rachel Aumaugher
Matthew Spradling
Zak Merrigan
Jeremy Straub
author_sort Ryan Suttle
title University Community Members’ Perceptions of Labels for Online Media
title_short University Community Members’ Perceptions of Labels for Online Media
title_full University Community Members’ Perceptions of Labels for Online Media
title_fullStr University Community Members’ Perceptions of Labels for Online Media
title_full_unstemmed University Community Members’ Perceptions of Labels for Online Media
title_sort university community members’ perceptions of labels for online media
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/8709ca373f2b4442a84a21038e263be5
work_keys_str_mv AT ryansuttle universitycommunitymembersperceptionsoflabelsforonlinemedia
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AT rachelaumaugher universitycommunitymembersperceptionsoflabelsforonlinemedia
AT matthewspradling universitycommunitymembersperceptionsoflabelsforonlinemedia
AT zakmerrigan universitycommunitymembersperceptionsoflabelsforonlinemedia
AT jeremystraub universitycommunitymembersperceptionsoflabelsforonlinemedia
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