@inproceedings{gemelli-minnema-2024-manosphrames,
title = "Manosphrames: exploring an {I}talian incel community through the lens of {NLP} and Frame Semantics",
author = "Gemelli, Sara and
Minnema, Gosse",
editor = "Sommerauer, Pia and
Caselli, Tommaso and
Nissim, Malvina and
Remijnse, Levi and
Vossen, Piek",
booktitle = "Proceedings of the First Workshop on Reference, Framing, and Perspective @ LREC-COLING 2024",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.rfp-1.4",
pages = "28--39",
abstract = "We 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.",
}
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<abstract>We 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.</abstract>
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%0 Conference Proceedings
%T Manosphrames: exploring an Italian incel community through the lens of NLP and Frame Semantics
%A Gemelli, Sara
%A Minnema, Gosse
%Y Sommerauer, Pia
%Y Caselli, Tommaso
%Y Nissim, Malvina
%Y Remijnse, Levi
%Y Vossen, Piek
%S Proceedings of the First Workshop on Reference, Framing, and Perspective @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F gemelli-minnema-2024-manosphrames
%X We 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.
%U https://aclanthology.org/2024.rfp-1.4
%P 28-39
Markdown (Informal)
[Manosphrames: exploring an Italian incel community through the lens of NLP and Frame Semantics](https://aclanthology.org/2024.rfp-1.4) (Gemelli & Minnema, rfp-WS 2024)
ACL