对仇恨言论传播者的特征及其在Twitter社交媒体平台上的行为进行了比较研究
Suresha Perera1, Nadeera Meedin1, Maneesha Caldera1
1Department of Computer Science and Engineering, University of Moratuwa, Katubedda, Sri Lanka.
Heliyon
|August 28, 2023
概括
与非仇恨用户相比,Twitter上的仇恨言论传播者表现出不同的个人资料特征和行为. 对仇恨内容的受众参与有限,这表明针对在线仇恨言论的基于受众的缓解策略的潜力.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 语言学的语言学.
背景情况:
- 互联网和社交媒体能够快速分享意见,但也促进了仇恨言论的传播.
- 用户的匿名性,自由和不充分的监管加剧了打击在线仇恨内容的挑战.
- 识别仇恨言论事者和了解他们的行为对于减轻仇恨言论至关重要.
研究的目的:
- 为了比较仇恨言论传播者的特征和行为与斯里兰卡的推特上的非仇恨用户.
- 通过辛哈拉语和英语文本分析分析内在和外在的个人资料特征.
- 调查个人资料自我介绍,社交网络动态和语言情感/情感.
主要方法:
- 分析了来自530个仇恨和非仇恨推特用户个人资料的102,882条帖子.
- 检查个人资料的自我介绍,包括帐户验证和地理标签.
- 社交网络分析和情感和情感的语言分析.
主要成果:
- 仇恨用户的账户验证和地理标记频率较低,但追随者/追随者数量和最爱数量较高.
- 尽管参与度较高,但仇恨用户的一般用户参与度 (点赞,转发,回复) 显著降低.
- 情绪分析显示,负面推特偏向辛哈拉语,英语用户利用积极情绪传播仇恨.
结论:
- 仇恨言论传播者具有可识别的特征,有助于早期发现和适度.
- 观众对仇恨内容的低参与度凸显了受众驱动的缓解策略的潜力.
- 研究结果支持人工智能驱动的仇恨用户分类,政策改革和社会凝聚力倡议,以打击仇恨言论.
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