根据用户偏好匹配反制策略，有效应对网络喷子
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling
- 按不同喷子行为类型推荐对应反制策略
- 实验表明该方法能减少负面情绪并促进良性讨论
- 适合需要智能社区治理的平台开发者
在线社区中的网络喷子行为通常表现为挑衅、激怒和操纵讨论，导致氛围极化和情绪困扰。有效的内容审核对缓解负面影响、维护健康社区环境至关重要。然而，由于喷子行为形式多样，需采用不同反制策略（RS），而这种多样性使得在具体情境下选择合适策略变得困难。本研究探讨人类是否对不同类型的喷子行为有特定偏好的应对策略。研究发现，所遇喷子类型与偏好的反制策略存在相关性。本文提出一种生成反制回复的方法，通过一个将策略与人类偏好在多种喷子情境中对齐的数据集支持，实现策略推荐。实验结果表明，该方法能引导建设性讨论，减轻喷子的负面影响，从而改善在线社区环境。
原文摘要 · Abstract (English)
Trolling in online communities typically involves disruptive behaviors such as provoking anger and manipulating discussions, leading to a polarized atmosphere and emotional distress. Robust moderation is essential for mitigating these negative impacts and maintaining a healthy and constructive community atmosphere. However, effectively addressing trolls is difficult because their behaviors vary widely and require different response strategies (RSs) to counter them. This diversity makes it challenging to choose an appropriate RS for each specific situation. To address this challenge, our research investigates whether humans have preferred strategies tailored to different types of trolling behaviors. Our findings reveal a correlation between the types of trolling encountered and the preferred RS. In this paper, we introduce a methodology for generating counter-responses to trolls by recommending appropriate RSs, supported by a dataset aligning these strategies with human preferences across various troll contexts. The experimental results demonstrate that our proposed approach guides constructive discussion and reduces the negative effects of trolls, thereby enhancing the online community environment.
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