在背信弃义中：评估社交媒体上的讨论质量
In Bad Faith: Assessing Discussion Quality on Social Media
AI总结：
本文评估社交媒体上主流媒体和政府机构回复的质量，发现背信弃义的互动占比高达68.3%，并探讨其对用户体验的影响。
摘要：
用户在社交媒体上的体验质量不仅取决于他们看到的内容，还取决于围绕该内容的对话和互动质量。在本文中，我们研究了主流媒体机构和官方政府机构发布的推文回复，并评估这些回复是否出于善意、诚实地进行建设性讨论，或者是否背信弃义，攻击作者或偏离讨论主题。我们评估了可能帮助做出此判断的自动化方法，然后展示在我们研究的主流媒体机构和政府机构的回复数据集中，背信弃义的互动占所有研究回复的68.3%，这表明在这些特定对话语境中可能存在讨论质量的担忧。这尤其适用于已验证的账号，其中91.7%的回复都是背信弃义的。鉴于已验证的账号在算法上被放大，我们讨论了我们的工作对理解社交媒体用户体验的影响。
英文摘要：
The quality of a user's social media experience is determined both by the content they see and by the quality of the conversation and interaction around it. In this paper, we look at replies to tweets from mainstream media outlets and official government agencies and assess if they are good faith, engaging honestly and constructively with the original post, or bad faith, attacking the author or derailing the conversation. We assess automated approaches that may help in making this determination and then show that within our dataset of replies to mainstream media outlets and government agencies, bad faith interactions constitute 68.3% of all replies we studied, suggesting potential concerns about the quality of discourse in these specific conversational contexts. This is particularly true from verified accounts, where 91.7% of replies were bad faith. Given that verified accounts are algorithmically amplified, we discuss the implications of our work for understanding the user experience on social media.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
