计算控制
Computational Controversy
摘要：
气候变化、疫苗接种、堕胎、特朗普：很多话题都被激烈的争议所包围。这种激烈辩论的性质及其要素在社会科学文献中得到了广泛的研究。最近，出现了各种计算方法来分析争议，使用新的数据源，如维基百科，这有助于我们更好地理解这些现象。然而，与社会科学对这类争论的发现相比，现有的计算方法主要集中在围绕争议概念的许多重要方面中的一些方面。为了将这两条链联系起来，我们在这里提供并评估了一个争议模型，该模型既植根于社会科学文献的发现，同时又与计算方法密切相关。我们展示了该模型如何导致计算争议分析，这些分析全面覆盖了构成争议的所有关键方面。
英文摘要：
Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science literature. More recently, various computational approaches to controversy analysis have appeared, using new data sources such as Wikipedia, which help us now better understand these phenomena. However, compared to what social sciences have discovered about such debates, the existing computational approaches mostly focus on just a few of the many important aspects around the concept of controversies. In order to link the two strands, we provide and evaluate here a controversy model that is both, rooted in the findings of the social science literature and at the same time strongly linked to computational methods. We show how this model can lead to computational controversy analytics that have full coverage over all the crucial aspects that make up a controversy.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
