部署反言语的新模型:测量行为变化和情绪分析

IF 1.2 3区社会学 Q2 INTERNATIONAL RELATIONS

Studies in Conflict & Terrorism Pub Date : 2021-03-30 DOI:10.1080/1057610X.2021.1888404

E. Saltman, F. Kooti, Karly Vockery

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引用次数: 4

摘要

反恐和CVE社区长期以来一直质疑反言论在打击网络极端主义方面的有效性。虽然大多数反言论的评估依赖于有限的覆盖范围和参与指标，但本文探索了两个模型来更好地衡量行为变化和情绪分析。通过Facebook和反极端主义非政府组织的合作，第一个模型使用A/B测试来分析反言论曝光对参与伊斯兰极端主义恐怖主义内容的低患病率高风险受众的影响。第二个模型建立在在线安全干预方法和重定向方法的基础上，通过一个基于搜索的“获取帮助”模块，将白人至上主义和新纳粹相关的搜索词重定向到脱离参与的非政府组织。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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New Models for Deploying Counterspeech: Measuring Behavioral Change and Sentiment Analysis

Abstract The counterterrorism and CVE community has long questioned the effectiveness of counterspeech in countering extremism online. While most evaluation of counterspeech rely on limited reach and engagement metrics, this paper explores two models to better measure behavioral change and sentiment analysis. Conducted via partnerships between Facebook and counter-extremism NGOs, the first model uses A/B testing to analyze the effects of counterspeech exposure on low-prevalence-high-risk audiences engaging with Islamist extremist terrorist content. The second model builds upon online safety intervention approaches and the Redirect Method through a search based “get-help” module, redirecting white-supremacy and Neo-Nazi related search-terms to disengagement NGOs.

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来源期刊

Studies in Conflict & Terrorism Multiple-

CiteScore

5.40

自引率

10.00%

发文量

期刊介绍： Terrorism and insurgency are now the dominant forms of conflict in the world today. Fuelled by moribund peace processes, ethnic and religious strife, disputes over natural resources, and transnational organized crime, these longstanding security challenges have become even more violent and intractable: posing new threats to international peace and stability. Studies in Conflict and Terrorism aims to cast new light on the origins and implications of conflict in the 21st Century and to illuminate new approaches and solutions to countering the growth and escalation of contemporary sub-state violence.