构建多平台社交评论数据集，揭示观点差异的深层原因
P1SCO: Social Dimensions from a Perspectivist Lens
- 从三个平台收集评论，标注十类社会维度
- 包含注释者人口统计与人格特征，支持多角度分析
- 适合研究观点差异、人格影响及跨平台话语动态
我们提出P1SCO，一个来自三个不同社交平台的社交媒体评论数据集，按十个社会维度进行标注，以捕捉社交互动与认知的多样性。数据集细致拆分至单条评论、注释者及平台层级，可实现精细化分析。除社会维度标签外，还包含注释者的丰富元数据，涵盖人口统计、大五人格特征及政治倾向。该组合使研究得以深入探讨社会认知在平台间、个体差异及人口因素上的变化。通过保留注释者视角的多样性，本数据集支持对注释者间/内一致性、人格与政治取向对社会解读的影响，以及跨平台社交话语动态的研究。
原文摘要 · Abstract (English)
We introduce P1SCO, a dataset of social media comments collected from three distinct platforms, annotated according to ten social dimensions to capture the diversity of social interactions and perceptions. The dataset is carefully disaggregated to allow analysis at the level of individual comments, annotators, and platforms. In addition to the social dimension labels, we include rich metadata on the annotators, including demographics, Big Five personality profiles, and political affiliation. This combination of comment-level annotations and annotator-level features enables nuanced analyses of how social perception varies across platforms, individual differences, and demographic factors. By preserving the diversity of annotator perspectives, our dataset supports studies of inter- and intra-annotator agreement, the influence of personality and political orientation on social interpretation, and the cross-platform dynamics of social discourse.
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