文章标题如何呈现，影响评论质量好坏。
Article and Comment Frames Shape the Quality of Online Comments
- 用框架理论分析新闻标题对评论健康度的影响。
- 采用文章框架的评论更健康，且负面评论易引发更多负面回复。
- 适合研究网络舆论、平台治理与AI内容审核的人参考。
框架理论认为信息呈现方式会影响受众反应，但计算研究长期忽视受众反馈。尽管已有研究显示文章框架会系统性影响读者评论内容，本文进一步探讨：框架是否也影响评论质量？我们分析了2.7千篇新闻文章中的100万条评论，将评论质量操作化为“评论健康度”。结果表明，在控制话题因素后，文章框架显著预测评论健康度；采用文章框架的评论比偏离框架的更健康。此外，不健康的顶层评论会独立于框架产生更多不健康回复。研究建立了框架理论与话语质量之间的联系，为后续应用奠定基础。我们以一个主动式的、基于大模型的框架感知系统为例，展示了其在缓解不良讨论中的潜力。
原文摘要 · Abstract (English)
Framing theory posits that how information is presented shapes audience responses, but computational work has largely ignored audience reactions. While recent work showed that article framing systematically shapes the content of reader responses, this paper asks: does framing also affect response quality? Analyzing 1M comments across 2.7K news articles, we operationalize quality as comment health. We find that article frames significantly predict comment health while controlling for topic, and that comments that adopt the article frame are healthier than those that depart from it. Further, unhealthy top-level comments tend to generate more unhealthy responses, independent of the frame being used in the comment. Our results establish a link between framing theory and discourse quality, laying the groundwork for downstream applications. We illustrate this potential with a pro-active frame-aware LLM- based system to mitigate unhealthy discourse.
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