Abstract
With the advent of social media, online reviews are increasingly perceived as being more genuine than traditional marketer-generated information. However, users’ growing penchant for reviews has resulted in the rise of deceptive opinion spamming, which involves posting misleading reviews to influence users’ impression on products and services insidiously. As a result, it has become challenging for users to distinguish between genuine and deceptive reviews. Hence, this paper develops a linguistic framework to distinguish between genuine and deceptive reviews based on their readability, genre and writing style. The framework is empirically tested by drawing from publicly available secondary datasets. The findings suggest that readability and writing style of reviews could be significant linguistic cues to distinguish between genuine and deceptive comments. In terms of genre however, differences between genuine and deceptive reviews were largely inconspicuous.
| Original language | English |
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| Pages | 501-506 |
| Number of pages | 6 |
| Publication status | Published - 2014 |
| Event | International MultiConference of Engineers and Computer Scientists: International Conference on Internet Computing and Web Services - , Hong Kong Duration: 12 Mar 2014 → 14 Mar 2014 http://www.iaeng.org/IMECS2014/ |
Conference
| Conference | International MultiConference of Engineers and Computer Scientists |
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| Country/Territory | Hong Kong |
| Period | 12/03/14 → 14/03/14 |
| Internet address |