用大模型分析视频与评论中的叙事极化，发现评论反而更趋同。
Measuring Narrative Polarization in Online Discourse
- 基于叙事结构理论，用大模型提取核心角色叙事角色。
- 视频叙事极化严重，评论极化程度显著降低。
- 评论虽趋同但仍有复杂角色关系差异，适合舆情研究者。
极化研究显示人们倾向于聚集在观点一致的群体中。然而，这种分化不仅源于人与人之间的互动限制，也源于叙事层面的对立，塑造了立场和身份认同。现有研究尚未揭示信息环境如何呈现对立现实解释，以及叙事是否能在缺乏互动的情况下跨内容传播。为填补这一空白，我们正式定义并测量了叙事极化，在212个关于以巴冲突的YouTube视频及90,029条评论中进行实证分析。基于结构叙事理论，并通过大语言模型提取两派信息环境中核心人物的叙事角色。结果显示：尽管视频表现出高度极化的叙事，评论中的叙事极化水平却显著更低，趋向共享的核心叙事结构；然而，刻画更复杂角色关系的重复叙事母题仍揭示出两派环境间的差异。
原文摘要 · Abstract (English)
Polarization research has demonstrated how people cluster in homogeneous groups with opposing opinions. However, this effect emerges not only through interaction between people, limiting communication between groups, but also between narratives, shaping opinions and partisan identities. Yet, how polarized information environments portray opposing interpretations of reality, and whether narratives move between content environments despite limited interactions, remains unexplored. To address this gap, we formalize the concept of narrative polarization and demonstrate its measurement in 212 YouTube videos and 90,029 comments on the Israeli-Palestinian conflict. Based on structural narrative theory and implemented through a large language model, we extract the narrative roles assigned to central actors in two partisan information environments. We find that while videos produce highly polarized narratives, comments exhibit significantly lower levels of narrative polarization, converging on shared core narrative structures. However, recurring narrative motifs capturing more complex actor constellations reveal additional differences between partisan environments.
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