用人工智能对抗仇恨:人工智能生成的反言论如何帮助对抗社交媒体上的仇恨言论?

IF 8.3 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Chuanhui Wu , Yifan Wang , Yuchen Zhang , Houcai Wang , Yufei Pang
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引用次数: 0

摘要

在数字时代,社交媒体的互联性加速了信息、知识和思想的交流。然而,它也放大了仇恨言论的传播。尽管用户生成内容被认为是解决网络仇恨言论的潜在方法,但它也带来了效率低下、错误率和用户道德风险等挑战。因此,本研究关注的是人工智能生成的反言论对社交媒体上面对仇恨言论的用户参与意愿的影响。通过一项试点研究和三个实验(N = 809),我们实证地证明了人工智能生成反语音的有效性。研究1表明,与没有反击的仇恨言论相比,有反击言论存在时,参与者更愿意参与其中。研究2表明,基于同理心的反言论比基于事实的反言论更能吸引用户参与,人工智能生成的反言论对用户参与意愿的影响更大。研究3表明,当人工智能身份未被披露时,参与者更愿意参与人工智能生成的反言论。感知信任在生成器类型和身份披露对用户粘性的影响中起中介作用。我们的研究结果为人工智能在在线仇恨言论治理中的应用提供了经验证据,并为社交媒体平台提供了实用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Confront hate with AI: how AI-generated counter speech helps against hate speech on social Media?
In the digital age, the interconnected nature of social media has accelerated the exchange of information, knowledge, and ideas. However, it has also amplified the spread of hate speech. Although user-generated content is considered a potential solution to online hate speech, it also presents challenges such as inefficiency, error rates, and ethical risks to users. Therefore, this study focuses on the impact of AI-generated counterspeech on user engagement intention to confront hate speech on social media. Through a pilot study and three experiments (N = 809), we empirically demonstrate the effectiveness of AI-generated counterspeech. Study 1 shows that participants are more willing to engage in counterspeech when it is present than in hate speech with no counterspeech. Study 2 reveals that empathy-based counterspeech elicits greater engagement than fact-based counterspeech and that AI-generated counterspeech has a stronger impact on user engagement intention. Study 3 indicates that participants are more willing to engage with AI-generated counterspeech when the AI identity is not disclosed. Perceived trust mediates the effects of generator types and identity disclosure on user engagement. Our findings provide empirical evidence of the application of AI in online hate speech governance and offer practical insights for social media platforms.
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来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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