Linguistic Predictors of Rumor Veracity on the Internet
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,...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/85826 http://hdl.handle.net/10220/43864 http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp387-391.pdf |
| _version_ | 1811685304728289280 |
|---|---|
| author | Banerjee, Snehasish Chua, Alton Yeow Kuan |
| author2 | Wee Kim Wee School of Communication and Information |
| author_facet | Wee Kim Wee School of Communication and Information Banerjee, Snehasish Chua, Alton Yeow Kuan |
| author_sort | Banerjee, Snehasish |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:42:24Z |
| format | Conference Paper |
| id | ntu-10356/85826 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:42:24Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/858262019-12-06T16:10:53Z Linguistic Predictors of Rumor Veracity on the Internet Banerjee, Snehasish Chua, Alton Yeow Kuan Wee Kim Wee School of Communication and Information Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS) 2016 Online Rumors Veracity 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. MOE (Min. of Education, S’pore) Published version 2017-10-12T05:15:13Z 2019-12-06T16:10:53Z 2017-10-12T05:15:13Z 2019-12-06T16:10:53Z 2016 Conference Paper 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. https://hdl.handle.net/10356/85826 http://hdl.handle.net/10220/43864 http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp387-391.pdf en © 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. 5 p. application/pdf |
| spellingShingle | Online Rumors Veracity Banerjee, Snehasish Chua, Alton Yeow Kuan Linguistic Predictors of Rumor Veracity on the Internet |
| title | Linguistic Predictors of Rumor Veracity on the Internet |
| title_full | Linguistic Predictors of Rumor Veracity on the Internet |
| title_fullStr | Linguistic Predictors of Rumor Veracity on the Internet |
| title_full_unstemmed | Linguistic Predictors of Rumor Veracity on the Internet |
| title_short | Linguistic Predictors of Rumor Veracity on the Internet |
| title_sort | linguistic predictors of rumor veracity on the internet |
| topic | Online Rumors Veracity |
| url | https://hdl.handle.net/10356/85826 http://hdl.handle.net/10220/43864 http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp387-391.pdf |
| work_keys_str_mv | AT banerjeesnehasish linguisticpredictorsofrumorveracityontheinternet AT chuaaltonyeowkuan linguisticpredictorsofrumorveracityontheinternet |