# Identity Construction in a Misogynist Incels Forum

arXiv: https://arxiv.org/abs/2306.15745 · HTML: https://mlsanity.com/paper/2306.15745/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 12 of its 69 references that are in the map.
- First posted on arXiv 27 Jun 2023.

## Builds on (most cited first, 12 of 12)

- [Distributed Representations of Words and Phrases and their Compositionality](https://mlsanity.com/paper/1310.4546/) (2013)
- [Social Bias Frames: Reasoning about Social and Power Implications of Language](https://mlsanity.com/paper/1911.03891/) (2019)
- [A Benchmark Dataset for Learning to Intervene in Online Hate Speech](https://mlsanity.com/paper/1909.04251/) (2019)
- [Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings](https://mlsanity.com/paper/1904.01596/) (2019)
- [ETHOS: an Online Hate Speech Detection Dataset](https://mlsanity.com/paper/2006.08328/) (2020)
- [Developing a Multilingual Annotated Corpus of Misogyny and Aggression](https://mlsanity.com/paper/2003.07428/) (2020)
- [How Hate Speech Varies by Target Identity: A Computational Analysis](https://mlsanity.com/paper/2210.10839/) (2022)
- [Detecting White Supremacist Hate Speech using Domain Specific Word Embedding with Deep Learning and BERT](https://mlsanity.com/paper/2010.00357/) (2020)
- [Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTube](https://mlsanity.com/paper/2102.12837/) (2021)
- [The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community](https://mlsanity.com/paper/2105.12006/) (2021)
- [A Bootstrapped Model to Detect Abuse and Intent in White Supremacist Corpora](https://mlsanity.com/paper/2008.04276/) (2020)
- [The Cognitive Science of Extremist Ideologies Online](https://mlsanity.com/paper/2110.00626/) (2021)

## Built on by (most cited first, 3 of 3)

- [IYKYK: Using language models to decode extremist cryptolects](https://mlsanity.com/paper/2506.05635/) (2025)
- [Inducing lexicons of in-group language with socio-temporal context](https://mlsanity.com/paper/2409.19257/) (2024)
- [Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification](https://mlsanity.com/paper/2506.04693/) (2025)

## Abstract (arXiv)

Online communities of involuntary celibates (incels) are a prominent source of misogynist hate speech. In this paper, we use quantitative text and network analysis approaches to examine how identity groups are discussed on incels-dot-is, the largest black-pilled incels forum. We find that this community produces a wide range of novel identity terms and, while terms for women are most common, mentions of other minoritized identities are increasing. An analysis of the associations made with identity groups suggests an essentialist ideology where physical appearance, as well as gender and racial hierarchies, determine human value. We discuss implications for research into automated misogynist hate speech detection.