P1SCO: Social Dimensions from a Perspectivist Lens
2026-05-25 • Computation and Language
Computation and Language
AI summaryⓘ
The authors created P1SCO, a collection of social media comments from three platforms, each labeled with ten types of social interactions to understand how people see social situations. They also gathered detailed information about the people who rated the comments, such as their personality traits and political views. This setup helps study how perceptions differ based on who is reading and the platform used. The dataset allows researchers to explore differences within and between raters, and how personal and social factors influence understanding of comments.
social media commentsannotationsocial dimensionsinter-annotator agreementpersonality profilesBig Five personalitypolitical affiliationmetadatacross-platform analysis
Authors
Amanda Cercas Curry, Gianmarco de Francisci Morales, Luca Maria Aiello
Abstract
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.