Manosphrames: exploring an Italian incel community through the lens of NLP and Frame Semantics
Abstract
AbstractWe introduce a large corpus of comments extracted from an Italian online incel (‘involuntary incelibate’) forum, a community of men who build a collective identity and anti-feminist ideology centered around their inability to find a sexual or romantic partner and who frequently use explicitly misogynistic language. Our corpus consists of 2.4K comments that have been manually collected, analyzed and annotated with topic labels, and a further 32K threads (300K comments) that have been automatically scraped and automatically annotated with FrameNet annotations. We show how large-scale frame semantic analysis can shed a light on what is discussed in the community, and introduce incel topic classification as a new NLP task and benchmark.