The emerging science of content labeling: Contextualizing social media content moderation

G Morrow, B Swire‐Thompson, JM Polny… - Journal of the …, 2022 - Wiley Online Library
In the online information ecosystem, a content label is an attachment to a piece of content
intended to contextualize that content for the viewer. Content labels are information about …

CONAN--COunter NArratives through Nichesourcing: a multilingual dataset of responses to fight online hate speech

YL Chung, E Kuzmenko, SS Tekiroglu… - arXiv preprint arXiv …, 2019 - arxiv.org
Although there is an unprecedented effort to provide adequate responses in terms of laws
and policies to hate content on social media platforms, dealing with hatred online is still a …

Thou shalt not hate: Countering online hate speech

B Mathew, P Saha, H Tharad, S Rajgaria… - Proceedings of the …, 2019 - aaai.org
Hate content in social media is ever increasing. While Facebook, Twitter, Google have
attempted to take several steps to tackle the hateful content, they have mostly been …

The effect of extremist violence on hateful speech online

A Olteanu, C Castillo, J Boy, K Varshney - Proceedings of the …, 2018 - ojs.aaai.org
User-generated content online is shaped by many factors, including endogenous elements
such as platform affordances and norms, as well as exogenous elements, in particular …

Confronting abusive language online: A survey from the ethical and human rights perspective

S Kiritchenko, I Nejadgholi, KC Fraser - Journal of Artificial Intelligence …, 2021 - jair.org
The pervasiveness of abusive content on the internet can lead to severe psychological and
physical harm. Significant effort in Natural Language Processing (NLP) research has been …

Whose opinions matter? perspective-aware models to identify opinions of hate speech victims in abusive language detection

S Akhtar, V Basile, V Patti - arXiv preprint arXiv:2106.15896, 2021 - arxiv.org
Social media platforms provide users the freedom of expression and a medium to exchange
information and express diverse opinions. Unfortunately, this has also resulted in the growth …

Towards knowledge-grounded counter narrative generation for hate speech

YL Chung, SS Tekiroglu, M Guerini - arXiv preprint arXiv:2106.11783, 2021 - arxiv.org
Tackling online hatred using informed textual responses-called counter narratives-has been
brought under the spotlight recently. Accordingly, a research line has emerged to …

Towards automatic generation of messages countering online hate speech and microaggressions

M Ashida, M Komachi - Proceedings of the Sixth Workshop on …, 2022 - aclanthology.org
With the widespread use of social media, online hate is increasing, and microaggressions
are receiving attention. We explore the potential for using pretrained language models to …

The expression of hate speech against Afro-descendant, Roma, and LGBTQ+ communities in YouTube comments

P Carvalho, D Caled, C Silva, F Batista… - Journal of Language …, 2024 - jbe-platform.com
This paper addresses the specificities of online hate speech against the Afro-descendant,
Roma, and LGBTQ+ communities in Portugal. The research is based on the analysis of CO …

Understanding and countering stereotypes: A computational approach to the stereotype content model

KC Fraser, I Nejadgholi, S Kiritchenko - arXiv preprint arXiv:2106.02596, 2021 - arxiv.org
Stereotypical language expresses widely-held beliefs about different social categories.
Many stereotypes are overtly negative, while others may appear positive on the surface, but …