Hartwig, Katrin ; Reuter, Christian (2019):
TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter.
In: Wirtschaftsinformatik Proceedings 2019, pp. 1844-1855,
Siegen, Germany, Association for Information Systems AIS, Wirtschaftsinformatik 2019, Siegen, Germany, 23.-27.2.2019, [Conference or Workshop Item]
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 ; 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. |
| Title of Book: | Wirtschaftsinformatik Proceedings 2019 |
| Place of Publication: | Siegen, Germany |
| Publisher: | Association for Information Systems AIS |
| 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: | Wirtschaftsinformatik 2019 |
| Event Location: | Siegen, Germany |
| Event Dates: | 23.-27.2.2019 |
| Date Deposited: | 26 Aug 2019 07:26 |
| Official URL: | https://aisel.aisnet.org/wi2019/specialtrack01/papers/5/ |
| Corresponding Links: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum