Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85826
Title: Linguistic Predictors of Rumor Veracity on the Internet
Authors: Banerjee, Snehasish
Chua, Alton Yeow Kuan
Keywords: Online Rumors
Veracity
Issue Date: 2016
Source: Chua, A. Y. K., & Banerjee, S. (2016). Linguistic predictors of rumor veracity on the Internet. Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS) 2016, 387-391.
Abstract: This paper attempts to investigate the role of language in predicting the veracity of rumors on the Internet. Specifically, it seeks to examine rumor veracity as a function of six groups of linguistic predictors. These include rumors' (1) comprehensibility, (2) sentiment, (3) time-orientation, (4) quantitative details, (5) writing style, and (6) topic. A dataset of 2,391 rumors, about 20% of which were true and the rest false, drawn from the rumor-verification website Snopes.comwas used for investigation. The operationalized measures of the linguistic predictors were calculated for all rumors using the Linguistic Inquiry and Word Count (LIWC) tool. Binomial logistic regression was used for data analysis. The model performed generally well. The results specifically indicated that rumor veracity could be predicated by comprehensibility, time-orientation, writing style and topic of rumors.
URI: https://hdl.handle.net/10356/85826
http://hdl.handle.net/10220/43864
Rights: © 2016 International Association of Engineers (IAENG). This paper was published in Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS) 2016 and is made available as an electronic reprint (preprint) with permission of International Association of Engineers (IAENG). The published version is available at: [http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp387-391.pdf]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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