How do users respond to online rumor rebuttals?
Underpinned by the Stimulus-Organism-Response framework and the anchoring effect, this paper investigates how perceived message properties of online rumor rebuttals are related to perceived utilitarian and hedonic values, which further could determine rebuttal acceptance. Given the possibility that...
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sg-ntu-dr.10356-1596872022-07-04T03:19:25Z How do users respond to online rumor rebuttals? Pal, Anjan Chua, Alton Yeow Kuan Goh, Dion Hoe-Lian Wee Kim Wee School of Communication and Information Social sciences::Communication Exposure Sequence Online Rumor Underpinned by the Stimulus-Organism-Response framework and the anchoring effect, this paper investigates how perceived message properties of online rumor rebuttals are related to perceived utilitarian and hedonic values, which further could determine rebuttal acceptance. Given the possibility that Internet users can confront a rebuttal when they are not even aware of the rumor, this paper takes into account the role of exposure sequence as a moderator. Data were collected from 322 social media users in a between-participants experiment, which manipulated the exposure sequence. Partial least squares structural equation modeling was used to analyze the data. Perceived message properties were positively associated with perceived utilitarian and hedonic values, both of which were positively related to rebuttal acceptance. Exposure sequence significantly moderated the underlying mechanism of rebuttal acceptance. This paper contributes to the online rebuttal literature by examining how individuals respond to rebuttals in terms of intention to believe and share such messages. It also has implications for practitioners and other Internet users. Ministry of Education (MOE) This work was supported by the Ministry of Education Research Grant AcRF Tier 2 (MOE2014-T2-2-020). 2022-07-04T03:19:25Z 2022-07-04T03:19:25Z 2020 Journal Article Pal, A., Chua, A. Y. K. & Goh, D. H. (2020). How do users respond to online rumor rebuttals?. Computers in Human Behavior, 106, 106243-. https://dx.doi.org/10.1016/j.chb.2019.106243 0747-5632 https://hdl.handle.net/10356/159687 10.1016/j.chb.2019.106243 2-s2.0-85077493792 106 106243 en MOE2014-T2-2-020 Computers in Human Behavior © 2020 Elsevier Ltd. All rights reserved. |
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Social sciences::Communication Exposure Sequence Online Rumor Pal, Anjan Chua, Alton Yeow Kuan Goh, Dion Hoe-Lian How do users respond to online rumor rebuttals? |
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Underpinned by the Stimulus-Organism-Response framework and the anchoring effect, this paper investigates how perceived message properties of online rumor rebuttals are related to perceived utilitarian and hedonic values, which further could determine rebuttal acceptance. Given the possibility that Internet users can confront a rebuttal when they are not even aware of the rumor, this paper takes into account the role of exposure sequence as a moderator. Data were collected from 322 social media users in a between-participants experiment, which manipulated the exposure sequence. Partial least squares structural equation modeling was used to analyze the data. Perceived message properties were positively associated with perceived utilitarian and hedonic values, both of which were positively related to rebuttal acceptance. Exposure sequence significantly moderated the underlying mechanism of rebuttal acceptance. This paper contributes to the online rebuttal literature by examining how individuals respond to rebuttals in terms of intention to believe and share such messages. It also has implications for practitioners and other Internet users. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Pal, Anjan Chua, Alton Yeow Kuan Goh, Dion Hoe-Lian |
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Article |
author |
Pal, Anjan Chua, Alton Yeow Kuan Goh, Dion Hoe-Lian |
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Pal, Anjan |
title |
How do users respond to online rumor rebuttals? |
title_short |
How do users respond to online rumor rebuttals? |
title_full |
How do users respond to online rumor rebuttals? |
title_fullStr |
How do users respond to online rumor rebuttals? |
title_full_unstemmed |
How do users respond to online rumor rebuttals? |
title_sort |
how do users respond to online rumor rebuttals? |
publishDate |
2022 |
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https://hdl.handle.net/10356/159687 |
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1738844962165882880 |