付费评论和付费作者检测

Man-Chun Ko, Hen-Hsen Huang, Hsin-Hsi Chen
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引用次数: 4

摘要

公共领域的意见分享激增。有些意见会极大地影响我们的决定,例如,购买的选择。恶意团体或个人利用社交媒体制造虚假评论,操纵舆论。本文旨在调查博主在线付费餐厅评论现象。我们的研究为付费评论及其作者提供了一些特征。然后,我们根据我们的观察探索一组特征,并使用监督机器学习技术检测付费评论和付费博主。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Paid review and paid writer detection
There has been a surge in opinion-sharing in the public domain. Some opinions greatly influence our decisions, e.g., the choice of purchase. Malicious parties or individuals exploit social media by generating fake reviews for opinion manipulation. This paper aims to investigate the phenomenon of online paid restaurant reviews by bloggers. Our research provides an insight into some characteristics of paid reviews and their authors. We then explore a set of features based on our observations and detect paid reviews and paid bloggers using supervised machine learning techniques. Experimental results show the effectiveness of our approach.
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