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Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media

Reuter, Christian and Kaufhold, Marc-André and Steinfort, René
Comes, Tina and Bénaben, Frédérick and Hanachi, Chihab and Lauras, Matthieu (eds.) (2017):
Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media.
Albi, France, In: Proceedings of the Information Systems for Crisis Response and Management (ISCRAM), Albi, France, [Online-Edition: http://idl.iscram.org/files/christianreuter/2017/1492_Christ...],
[Conference or Workshop Item]

Abstract

The use of social media is gaining more and more in importance in ordinary life but also in conflicts and emergencies. The social big data, generated by users, is partially also used as a source for situation assessment, e.g. to receive pictures or to assess the general mood. However, the information's believability is hard to control and can deceive. Rumors, fake news and social bots are phenomenons that challenge the easy consumption of social media. To address this, our paper explores the believability of content in social media. Based on foundations of information quality we conducted a literature study to derive a three-level model for assessing believability. It summarizes existing assessment approaches, assessment criteria and related measures. On this basis, we describe several steps towards the development of an assessment approach that works across different types of social media.

Item Type: Conference or Workshop Item
Erschienen: 2017
Editors: Comes, Tina and Bénaben, Frédérick and Hanachi, Chihab and Lauras, Matthieu
Creators: Reuter, Christian and Kaufhold, Marc-André and Steinfort, René
Title: Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media
Language: English
Abstract:

The use of social media is gaining more and more in importance in ordinary life but also in conflicts and emergencies. The social big data, generated by users, is partially also used as a source for situation assessment, e.g. to receive pictures or to assess the general mood. However, the information's believability is hard to control and can deceive. Rumors, fake news and social bots are phenomenons that challenge the easy consumption of social media. To address this, our paper explores the believability of content in social media. Based on foundations of information quality we conducted a literature study to derive a three-level model for assessing believability. It summarizes existing assessment approaches, assessment criteria and related measures. On this basis, we describe several steps towards the development of an assessment approach that works across different types of social media.

Place of Publication: Albi, France
Uncontrolled Keywords: CSCW,Frieden,HCI,KontiKat,SMO,Terror
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 Information Systems for Crisis Response and Management (ISCRAM)
Event Location: Albi, France
Date Deposited: 23 Oct 2018 05:49
Official URL: http://idl.iscram.org/files/christianreuter/2017/1492_Christ...
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