Detecting collusive spamming activities in community question answeringTools Liu, Yuli and Liu, Yiqun and Zhou, Ke and Zhang, Min and Ma, Shaoping (2017) Detecting collusive spamming activities in community question answering. In: 26th International Conference on World Wide Web, 3-7 April 2017, Perth, Australia. Full text not available from this repository.
Official URL: https://doi.org/10.1145/3038912.3052594
AbstractCommunity Question Answering (CQA) portals provide rich sources of information on a variety of topics. However, the authenticity and quality of questions and answers (Q&As) has proven hard to control. In a troubling direction, the widespread growth of crowdsourcing websites has created a large-scale, potentially difficult-to-detect workforce to manipulate malicious contents in CQA. The crowd workers who join the same crowdsourcing task about promotion campaigns in CQA collusively manipulate deceptive Q&As for promoting a target (product or service). The collusive spamming group can fully control the sentiment of the target. How to utilize the structure and the attributes for detecting manipulated Q&As? How to detect the collusive group and leverage the group information for the detection task?
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