考察抗议作为减少网络偏见的干预手段:以移民偏见为例

Kai Wei, Y. Lin, Muheng Yan
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引用次数: 8

摘要

人们越来越担心网络用户利用社交媒体煽动对其他个人或团体的偏见和仇恨。虽然已经有研究开发自动化技术来识别网络偏见行为和仇恨言论,但如何有效地对抗网络偏见仍然是一个社会挑战。另一方面,社会抗议经常被用作对抗偏见的干预手段。然而,迄今为止的研究还没有调查抗议活动与网络偏见之间的关系。利用从Twitter收集的大规模面板数据,我们研究了在美国最近针对移民相关话题的抗议活动之后,用户与移民偏见相关的推文行为的变化。这是第一次实证研究抗议活动对减少网络偏见的影响。我们的研究结果表明,抗议后测量的偏见既有消极的变化,也有积极的变化,这表明抗议可能对减少偏见有混合的影响。我们进一步识别在抗议后可能改变(或抵制改变)的用户。这项工作有助于理解网络偏见及其干预作用。这项研究的发现对设计有针对性的干预措施具有启示意义。
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Examining Protest as An Intervention to Reduce Online Prejudice: A Case Study of Prejudice Against Immigrants
There has been a growing concern about online users using social media to incite prejudice and hatred against other individuals or groups. While there has been research in developing automated techniques to identify online prejudice acts and hate speech, how to effectively counter online prejudice remains a societal challenge. Social protests, on the other hand, have been frequently used as an intervention for countering prejudice. However, research to date has not examined the relationship between protests and online prejudice. Using large-scale panel data collected from Twitter, we examine the changes in users’ tweeting behaviors relating to prejudice against immigrants following recent protests in the U.S. on immigration related topics. This is the first empirical study examining the effect of protests on reducing online prejudice. Our results show that there were both negative and positive changes in the measured prejudice after a protest, suggesting protest might have a mixed effect on reducing prejudice. We further identify users who are likely to change (or resist change) after a protest. This work contributes to the understanding of online prejudice and its intervention effect. The findings of this research have implications for designing targeted intervention.
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