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Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media
Christian Reuter
Marc-André Kaufhold
René Steinfort
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
The use of social media is gaining more and more in importance in ordinary life, but also in conflicts and emer-gencies. 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 infor-mation quality we conducted a literature study to derive a three-level model for assessing believability. It summa-rizes 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.
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Rumors%2C%20Fake%20News%20and%20Social%20Bots%20in%20Conflicts%20and%20Emergencies%3A%20Towards%20a%20Model%20for%20Believability%20in%20Social%20Media&stitle=Iscram%202017&issn=2411-3387&date=2017&spage=583&epage=591&aulast=Christian%20Reuter&au=Marc-Andr%E9%20Kaufhold&au=Ren%E9%20Steinfort&pub=Iscram&place=Albi%2C%20France&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2046
citekey:ChristianReuter_etal2017
citation:Christian Reuter, Marc-André Kaufhold, & René Steinfort. (2017). Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 583-591). Albi, France: Iscram.
2017
ConferencePaper
text
Social media
believability
measurement
file:http://idl.iscram.org/files/christianreuter/2017/2046_ChristianReuter_etal2017.pdf
Iscram
English
2411-3387
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management
2017
583
591
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