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

Reuter, Christian ; Kaufhold, Marc-André ; Steinfort, René
Hrsg.: Comes, Tina ; Bénaben, Frédérick ; Hanachi, Chihab ; Lauras, Matthieu (2017)
Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media.
14th International Conference on Information Systems for Crisis Response And Management ISCRAM. Albi, France (21.05.2017-24.05.2017)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Herausgeber: Comes, Tina ; Bénaben, Frédérick ; Hanachi, Chihab ; Lauras, Matthieu
Autor(en): Reuter, Christian ; Kaufhold, Marc-André ; Steinfort, René
Art des Eintrags: Bibliographie
Titel: Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media
Sprache: Englisch
Publikationsjahr: 2017
Ort: Albi, France
Verlag: ISCRAM
Buchtitel: Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management; ISCRAM 2017
Veranstaltungstitel: 14th International Conference on Information Systems for Crisis Response And Management ISCRAM
Veranstaltungsort: Albi, France
Veranstaltungsdatum: 21.05.2017-24.05.2017
URL / URN: http://idl.iscram.org/files/christianreuter/2017/1492_Christ...
Kurzbeschreibung (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.

Freie Schlagworte: CSCW,Frieden,HCI,KontiKat,SMO,Terror
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Wissenschaft und Technik für Frieden und Sicherheit (PEASEC)
Profilbereiche
Profilbereiche > Cybersicherheit (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)
Hinterlegungsdatum: 23 Okt 2018 05:49
Letzte Änderung: 25 Okt 2021 10:32
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