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Aigner, Johannes ; Duchardt, Amelie ; Kersting, Thiemo ; Kattenbeck, Markus ; Elsweiler, David

Manipulating the Perception of Credibility in Refugee Related Social Media Posts

Conference or workshop item

Aigner, Johannes, Duchardt, Amelie, Kersting, Thiemo, Kattenbeck, Markus and Elsweiler, David (2017) Manipulating the Perception of Credibility in Refugee Related Social Media Posts. In: The ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR), March 7-11, Oslo.

DOI to cite this document: 10.5283/epub.35041


Abstract

This paper describes a controlled web-based study (n=126), investigating whether the perception of the credibility of refugee-related Tweets can be influenced by cues already reported in the literature for social media content generally. We provide empirical evidence that both a Tweet's popularity and the presence of links -- even neutral links created by URL shortening services -- may increase ...

This paper describes a controlled web-based study (n=126), investigating whether the perception of the credibility of refugee-related Tweets can be influenced by cues already reported in the literature for social media content generally. We provide empirical evidence that both a Tweet's popularity and the presence of links -- even neutral links created by URL shortening services -- may increase a user's belief that the Tweet contains credible information. This is important because the propagation of false information relating to refugees on social media sites has been well documented.


Involved Institutions


Details

Item typeConference or workshop item (UNSPECIFIED)
Date2017
Date of publication25 Jan 2017 13:49
InstitutionsLanguages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz)
Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz)
Keywordsfalse information, rumours, perception of information, social media
Dewey Decimal Classification000 Computer science, information & general works > 004 Computer science
000 Computer science, information & general works > 020 Library & information sciences
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-350412
Item ID35041

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