For a few diversities more: A voting-attack-immune voting scheme for social question and answer websites

Jun Zhang, Houda Labiod, Weizhi Meng

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Social question and answer (Q&A) communities or websites, such as Quora, StackOverflow, become popular from the last decade. They provide collected answers in a crowdsourcing way by encouraging the interactive between users. The ranking of answers in such Q&A websites depends on many factors, such as received upvotes, downvotes, publishing time, and so on. When there exist malicious users, they can manipulate the ranking of answers by launching voting spamming attacks. In this article, we propose a metric, diversity of visibility, to characterize the balance between rankings of answers with conflicting opinions and propose a time-diversitybased voting scheme to reach a high diversity of visibility, so as to minimize the impact of voting spamming attacks. We evaluate the proposed metric and voting scheme in the case study of a Chinese Q&A website, Zhihu, and show that the proposed voting scheme consistently shows a good balance of answers with conflicting opinions in both actual scenarios and synthetic scenarios.
Original languageEnglish
Article numbere5791
JournalConcurrency Computation
Number of pages15
ISSN1532-0626
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • Question and answer community
  • Ranking algorithm
  • Social networks
  • Spam

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