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Internet Research
ISSN: 1066-2243
Online from: 1991
Subject Area: Information and Knowledge Management
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Taking sides: user classification for informal online political discourse
| Title: | Taking sides: user classification for informal online political discourse |
|---|---|
| Author(s): | Robert Malouf, (Department of Linguistics and Asian/Middle Eastern Languages, San Diego State University, San Diego, California, USA), Tony Mullen, (Department of Computer Science, Tsuda College, Tokyo, Japan) |
| Citation: | Robert Malouf, Tony Mullen, (2008) "Taking sides: user classification for informal online political discourse", Internet Research, Vol. 18 Iss: 2, pp.177 - 190 |
| Keywords: | Databases, Online operations, Politics, United States of America |
| Article type: | Research paper |
| DOI: | 10.1108/10662240810862239 (Permanent URL) |
| Publisher: | Emerald Group Publishing Limited |
| Acknowledgements: | This work is supported by KAKENHI 18700158, Grant-in-Aid for Young Scientists (B) provided by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan. |
| Abstract: | Purpose – To evaluate and extend, existing natural language processing techniques into the domain of informal online political discussions. Design/methodology/approach – A database of postings from a US political discussion site was collected, along with self-reported political orientation data for the users. A variety of sentiment analysis, text classification, and social network analysis methods were applied to the postings and evaluated against the users' self-descriptions. Findings – Purely text-based methods performed poorly, but could be improved using techniques which took into account the users' position in the online community. Research limitations/implications – The techniques we applied here are fairly simple, and more sophisticated learning algorithms may yield better results for text-based classification. Practical implications – This work suggests that social network analysis is an important tool for performing natural language processing tasks with informal web texts. Originality/value – This research extends sentiment analysis to a new subject domain (US politics) and a new text genre (informal online discusssions). |
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