Trust of information on social media : an elaboration likelihood model
Social media such as Twitter and Facebook are increasingly being used as a source of information in critical situations such as natural disasters and civil unrests. However, false information exists on social media and trusting false information not only leads users to make wrong decisions but can...
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sg-ntu-dr.10356-1009442019-12-06T20:31:14Z Trust of information on social media : an elaboration likelihood model Pee, Loo Geok Wee Kim Wee School of Communication and Information International Conference on Information Resources Management (2012 : Vienna, Austria) Association for Information Systems - AIS Electronic Library (AISeL) Tokyo Institute of Technology DRNTU::Social sciences Social media such as Twitter and Facebook are increasingly being used as a source of information in critical situations such as natural disasters and civil unrests. However, false information exists on social media and trusting false information not only leads users to make wrong decisions but can also have dire impact on the society. This research-in-progress examines how individuals process information on social media to determine whether or not to trust the information. Based on the elaboration likelihood model, a research model elucidating the effects of information quality, source credibility, and majority influence on users’ trust of information on social media is proposed. Further, the moderating effects of personal involvement and users’ prior knowledge are investigated. Results from a pilot survey indicate that majority influence has a stronger effect on trust than source credibility for social media users and they are likely to rely on information quality as well as source credibility and majority influence when their personal involvement is high. 2014-01-30T00:52:28Z 2019-12-06T20:31:14Z 2014-01-30T00:52:28Z 2019-12-06T20:31:14Z 2012 2012 Conference Paper Pee, L. G. (2012). Trust of Information on Social Media: An Elaboration Likelihood Model. International Conference on Information Resources Management (CONF-IRM) 2012, 29. https://hdl.handle.net/10356/100944 http://hdl.handle.net/10220/18753 http://aisel.aisnet.org/confirm2012/29/ en © 2012 The Author(s). |
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DRNTU::Social sciences Pee, Loo Geok Trust of information on social media : an elaboration likelihood model |
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Social media such as Twitter and Facebook are increasingly being used as a source of information in critical situations such as natural disasters and civil unrests. However, false information exists on social media and trusting false information not only leads users to make wrong decisions but can also have dire impact on the society. This research-in-progress examines how individuals process information on social media to determine whether or not to trust the information. Based on the elaboration likelihood model, a research model elucidating the effects of information quality,
source credibility, and majority influence on users’ trust of information on social media is proposed. Further, the moderating effects of personal involvement and users’ prior knowledge are investigated. Results from a pilot survey indicate that majority influence has a stronger effect on trust than source credibility for social media users and they are likely to rely on information quality as well as source credibility and majority influence when their personal involvement is high. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Pee, Loo Geok |
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Conference or Workshop Item |
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Pee, Loo Geok |
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Pee, Loo Geok |
title |
Trust of information on social media : an elaboration likelihood model |
title_short |
Trust of information on social media : an elaboration likelihood model |
title_full |
Trust of information on social media : an elaboration likelihood model |
title_fullStr |
Trust of information on social media : an elaboration likelihood model |
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Trust of information on social media : an elaboration likelihood model |
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trust of information on social media : an elaboration likelihood model |
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2014 |
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https://hdl.handle.net/10356/100944 http://hdl.handle.net/10220/18753 http://aisel.aisnet.org/confirm2012/29/ |
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