Analyzing Users’ Trust for Online Health Rumors

This paper analyzes users’ trust for online health rumors as a function of two factors: length and presence of image. Additionally, two types of rumors are studied: pipe-dream rumors that offer hope, and bogie rumors that instil fear. A total of 102 participants took part in a 2 (length: short or lo...

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Main Authors: Chua, Alton Yeow Kuan, Banerjee, Snehasish
Other Authors: Allen, Robert B.
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/80347
http://hdl.handle.net/10220/40494
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-803472020-03-07T12:15:49Z Analyzing Users’ Trust for Online Health Rumors Chua, Alton Yeow Kuan Banerjee, Snehasish Allen, Robert B. Wee Kim Wee School of Communication and Information Online health information Rumor Virality Trust This paper analyzes users’ trust for online health rumors as a function of two factors: length and presence of image. Additionally, two types of rumors are studied: pipe-dream rumors that offer hope, and bogie rumors that instil fear. A total of 102 participants took part in a 2 (length: short or long) x 2 (presence of image: absent or present) x 2 (type: pipe-dream or bogie) within-participants experiment. A repeated-measures analysis of variance suggest that pipe-dream rumors are trusted when they are short and do not contain images whereas bogie rumors are trusted when they are long and contain images. Accepted version 2016-05-06T02:19:49Z 2019-12-06T13:47:40Z 2016-05-06T02:19:49Z 2019-12-06T13:47:40Z 2015 Journal Article Chua, A. Y., & Banerjee, S. (2015). Analyzing Users’ Trust for Online Health Rumors. Lecture Notes in Computer Science, 9469, 33-38. 978-3-319-27974-9 https://hdl.handle.net/10356/80347 http://hdl.handle.net/10220/40494 10.1007/978-3-319-27974-9_4 en © 2015 Springer International Publishing Switzerland. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of 17th International Conference on Asia-Pacific Digital Libraries (ICADL), Lecture Notes in Computer Science, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/978-3-319-27974-9_4]. 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Online health information
Rumor
Virality
Trust
spellingShingle Online health information
Rumor
Virality
Trust
Chua, Alton Yeow Kuan
Banerjee, Snehasish
Analyzing Users’ Trust for Online Health Rumors
description This paper analyzes users’ trust for online health rumors as a function of two factors: length and presence of image. Additionally, two types of rumors are studied: pipe-dream rumors that offer hope, and bogie rumors that instil fear. A total of 102 participants took part in a 2 (length: short or long) x 2 (presence of image: absent or present) x 2 (type: pipe-dream or bogie) within-participants experiment. A repeated-measures analysis of variance suggest that pipe-dream rumors are trusted when they are short and do not contain images whereas bogie rumors are trusted when they are long and contain images.
author2 Allen, Robert B.
author_facet Allen, Robert B.
Chua, Alton Yeow Kuan
Banerjee, Snehasish
format Article
author Chua, Alton Yeow Kuan
Banerjee, Snehasish
author_sort Chua, Alton Yeow Kuan
title Analyzing Users’ Trust for Online Health Rumors
title_short Analyzing Users’ Trust for Online Health Rumors
title_full Analyzing Users’ Trust for Online Health Rumors
title_fullStr Analyzing Users’ Trust for Online Health Rumors
title_full_unstemmed Analyzing Users’ Trust for Online Health Rumors
title_sort analyzing users’ trust for online health rumors
publishDate 2016
url https://hdl.handle.net/10356/80347
http://hdl.handle.net/10220/40494
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