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, pp. 583-591, [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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