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Read What You Trust: An Open Wild Model Enhanced by Social Context

机译:阅读您信任的内容:通过社会背景增强了开放的狂野模型

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Wild systems, such as Wikipedia, provide a multitude of opportunities for large-scale online knowledge collaboration. Despite Wikipedia's successes with the open editing model, dissenting voices give rise to unreliable content due to conflicts amongst contributors. From our perspective, the conflict issue results from presenting the same knowledge to all readers, without regard for the importance of the underlying social context, which both reveals the bias of contributors and influences the knowledge perception of readers. Motivated by the insufficiency of the existing knowledge presentation model for Wiki systems, this paper presents TrustWiki, a new Wild model which leverages social context, including social background and relationship information, to present readers with personalized and credible knowledge. Our experiment shows, with reliable social context information, TrustWiki can efficiently assign readers to their compatible editor community and present credible knowledge derived from that community. Although this new Wiki model focuses on reinforcing the neutrality.policy of Wikipedia, it also casts light on the other content reliability problems in Wild systems, such as vandalism and minority opinion suppression.
机译:野生系统,如维基百科,为大规模在线知识协作提供了多种机会。尽管维基百科与开放式编辑模型的成功取得了成功,但异议声音由于贡献者之间的冲突而导致不可靠的内容。从我们的角度来看,冲突问题是向所有读者提出与所有读者相同的知识,而不考虑潜在的社会背景的重要性,这两者都揭示了贡献者的偏见并影响了对读者的知识感知。本文介绍了Wiki系统现有知识介绍模型的不足,这篇论文推出了一个新的野生模式,它利用社会背景,包括社会背景和关系信息,以表达具有个性化和可信的知识的读者。我们的实验表明,具有可靠的社会背景信息,TrustWiki可以有效地将读者分配给他们兼容的编辑社区,并呈现来自该社区的可信知识。虽然这款新的维基模型侧重于加强维基百科的中立性。它还阐明了野外系统中的其他内容可靠性问题,如破坏和少数群体抑制。

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