The Impact of Twitter Features on Credibility Ratings - An Explorative Examination Combining Psychological Measurements and Feature Based Selection Methods

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dc.contributor.authorMeinert, Judith
dc.contributor.authorAker, Ahmet
dc.contributor.authorKrämer, Nicole
dc.date.accessioned2019-01-03T00:06:03Z
dc.date.available2019-01-03T00:06:03Z
dc.date.issued2019-01-08
dc.description.abstractIn a post-truth age determined by Social Media channels providing large amounts of information of questionable credibility while at the same time people increasingly tend to rely on online information, the ability to detect whether content is believable is developing into an important challenge. Most of the work in that field suggested automated approaches to perform binary classification to determine information veracity. Recipients´ perspectives and multidimensional psychological credibility measurements have rarely been considered. To fill this gap and gain more insights into the impact of a tweet´s features on perceived credibility, we conducted a survey asking participants (N=2626) to rate the credibility of crises related tweets. The resulting 24.823 ratings were used for an explorative feature selection analysis revealing that mostly meta-related features like the number of followers of the author, the count of tweets produced and the ratio of tweet number and days since account creation affect credibility judgements.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.313
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59698
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMediated Conversation
dc.subjectDigital and Social Media
dc.subjectCredibility, Twitter, Feature selection, Social Media communication, User perceptions
dc.titleThe Impact of Twitter Features on Credibility Ratings - An Explorative Examination Combining Psychological Measurements and Feature Based Selection Methods
dc.typeConference Paper
dc.type.dcmiText

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