论文标题
Wikipedia新闻来源的两极分化和可靠性
Polarization and reliability of news sources in Wikipedia
论文作者
论文摘要
Wikipedia是最大的在线百科全书：其公开贡献政策使每个人都可以编辑和分享他们的知识。根本性开放的挑战是它有助于在维基百科中引入偏见的内容或观点。 Wikipedia依靠许多外部来源，例如期刊文章，书籍，新闻媒体等。新闻媒体的消息来源尤其吸引了Wikipedia的所有引用中的三分之一。但是，尽管它们对于提供最新和事实内容的重要性仍然有限，但对Wikipedia的新闻媒体来源的了解仍然有限。依靠英语Wikipedia的近3000万个引用的大规模开放数据集，我们在新闻媒体来源的选择中发现了一个中等而系统的自由主义两极分化。我们还表明，通过控制新闻媒体的事实可靠性，无法减轻这种效果。我们的结果有助于Wikipedia的知识完整性议程，建议系统的努力将有助于改善Wikipedia中潜在的偏见，并找到加强其中性观点政策的手段。
Wikipedia is the largest online encyclopedia: its open contribution policy allows everyone to edit and share their knowledge. A challenge of radical openness is that it facilitates introducing biased contents or perspectives in Wikipedia. Wikipedia relies on numerous external sources such as journal articles, books, news media, and more. News media sources, in particular, take up nearly third of all citations from Wikipedia. However, despite their importance for providing up-to-date and factual contents, there is still a limited understanding on which news media sources are cited from Wikipedia. Relying on a large-scale open dataset of nearly 30M citations from English Wikipedia, we find a moderate yet systematic liberal polarization in the selection of news media sources. We also show that this effect is not mitigated by controlling for news media factual reliability. Our results contribute to Wikipedia's knowledge integrity agenda in suggesting that a systematic effort would help to better map potential biases in Wikipedia and find means to strengthen its neutral point of view policy.
