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TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter

Hartwig, Katrin and Reuter, Christian (2019):
TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter.
In: Proceedings of the International Conference on Wirtschaftsinformatik (WI), Siegen, Germany, 23.-27.2.2019, [Online-Edition: http://www.peasec.de/paper/2019/2019_HartwigReuter_TrustyTwe...],
[Conference or Workshop Item]

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Abstract

The importance of dealing withfake newsonsocial mediahas increased both in political and social contexts.While existing studies focus mainly on how to detect and label fake news, approaches to assist usersin making their own assessments are largely missing. This article presents a study on how Twitter-users’assessmentscan be supported by an indicator-based white-box approach.First, we gathered potential indicators for fake news that have proven to be promising in previous studies and that fit our idea of awhite-box approach. Based on those indicators we then designed and implemented the browser-plugin TrusyTweet, which assists users on Twitterin assessing tweetsby showing politically neutral and intuitive warnings without creating reactance. Finally, we suggest the findings of our evaluations with a total of 27 participants which lead to further design implicationsfor approachesto assistusers in dealing with fake news.

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Hartwig, Katrin and Reuter, Christian
Title: TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter
Language: English
Abstract:

The importance of dealing withfake newsonsocial mediahas increased both in political and social contexts.While existing studies focus mainly on how to detect and label fake news, approaches to assist usersin making their own assessments are largely missing. This article presents a study on how Twitter-users’assessmentscan be supported by an indicator-based white-box approach.First, we gathered potential indicators for fake news that have proven to be promising in previous studies and that fit our idea of awhite-box approach. Based on those indicators we then designed and implemented the browser-plugin TrusyTweet, which assists users on Twitterin assessing tweetsby showing politically neutral and intuitive warnings without creating reactance. Finally, we suggest the findings of our evaluations with a total of 27 participants which lead to further design implicationsfor approachesto assistusers in dealing with fake news.

Uncontrolled Keywords: CRISP; Frieden; HCI; SocialMedia
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Science and Technology for Peace and Security (PEASEC)
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
Zentrale Einrichtungen
Zentrale Einrichtungen > Interdisziplinäre Arbeitsgruppe Naturwissenschaft, Technik und Sicherheit (IANUS)
Event Title: Proceedings of the International Conference on Wirtschaftsinformatik (WI)
Event Location: Siegen, Germany
Event Dates: 23.-27.2.2019
Date Deposited: 26 Aug 2019 07:26
Official URL: http://www.peasec.de/paper/2019/2019_HartwigReuter_TrustyTwe...
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