Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80347
Title: Analyzing Users’ Trust for Online Health Rumors
Authors: Chua, Alton Yeow Kuan
Banerjee, Snehasish
Keywords: Online health information
Rumor
Virality
Trust
Issue Date: 2015
Source: Chua, A. Y., & Banerjee, S. (2015). Analyzing Users’ Trust for Online Health Rumors. Lecture Notes in Computer Science, 9469, 33-38.
Abstract: 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.
URI: https://hdl.handle.net/10356/80347
http://hdl.handle.net/10220/40494
ISBN: 978-3-319-27974-9
DOI: 10.1007/978-3-319-27974-9_4
Rights: © 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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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