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New on preventhate.org | Policyinstitute.net, 17 November 2025 Meta Oversight Board’s Nascent Standard on Hate Speech: Towards Plural Standard Setting in International Human Rights Law (SSRN) Coping with Digital Hostility: How Witnessing and Receiving Hate Speech Elicit Divergent Responses (SSRN) Beyond Laws: Regulating Online Hate Through Collective Action (Tackling Hate) Tending to the Digital Commons: Examining the Potential of Artificial Intelligence to Detect and Respond to Toxic Speech (Toda Peace Institute)
Legal Policies

Hate speech: Comparing the US and EU approaches (Think Tank, European Parliament)

05 June 2025

Distinct legal traditions underlie the US and EU’s differing approaches to regulating online platforms: the US provides nearly unrestricted free…

Algorithms Society

Video… Digital Divides: Online Hate Speech, Disinformation and AI in Africa | 20 May 2025 (RUSI)

05 June 2025

This webinar is one in a series that examines the complex effects of hate speech online and how artificial intelligence…

Assorted Society

Understanding & improving how kids report online harm (internet matters)

05 June 2025

The authors conducted a UK nationally representative survey of 2,000 parents and 1,000 children. We also conducted qualitative research with…

Algorithms Policies

Hate and Offensive Text Data Detection using NLP Model (IJRPR)

05 June 2025

The goal of the current project is to use machine learning (ML) and natural language processing (NLP) techniques to create…

Algorithms

The Role of Context in Detecting the Target of Hate Speech (ACL Anthology)

05 June 2025

Despite recent advances in natural language processing, detecting hate speech online is still a difficult issue. Contextual information encoding into…

Algorithms Assorted

MemHateCaptioning: Enhancing Hate Speech Detection in Memes with Context-Aware Captioning and Chain-of-Thought (ACM Digital Library)

05 June 2025

Because memes are multimodal—combining text, pictures, and cultural cues—hate speech in them presents difficulties. In order to tackle this issue,…

Algorithms

Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate (arXiv)

05 June 2025

Though there are still issues with automated counter-narratives’ (CN) emotive tone, accessibility, and ethical implications, CN presents a potential approach…

Algorithms

Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data (arXiv)

05 June 2025

It is expensive to gather labeled hate speech data, particularly for low-resource languages. Previous research indicates that data augmentation and…

Algorithms

Compositional Generalisation for Explainable Hate Speech Detection (arXiv)

05 June 2025

Content moderation relies heavily on hate speech identification, however existing models frequently fall short of generalizing because of biases in…

Assorted Society

Stronger Together: Unleashing the Social Impact of Hate Speech Research (arXiv)

05 June 2025

For disenfranchised populations, the internet has been both a boon and a bane. Despite its ability to bridge gaps, technology…

Algorithms Legal Policies Society

Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, May 2025 (I/II)

19 May 2025

Browse and read from a list of the 135 most popular LinkedIn resources, including 4 audios and 5 videos, dealing…

Assorted Society

Online hate and abuse in sport: a report by Ofcom in partnership with Kick it Out (Ofcom)

17 May 2025

The current study looks at the hostility and abuse that professionals in the broadcasting and sports industries have experienced online.…

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TOP POSTS
AI-Driven Anomaly Detection On Social Media: 5 Things To Consider (Forbes)
How to counter the manosphere’s toxic influence (UN Women)
Misogynistic Extremism: How Online Hate Is Fueling Real-World Violence Against Women (Vocal Media)
Responding to Hate Speech: Counterspeech and the University (Virginia Journal of Social Policy and the Law)
Coping with Digital Hostility: How Witnessing and Receiving Hate Speech Elicit Divergent Responses (SSRN)
Who are the haters? A corpus-based demographic analysis of authors of hate speech (Frontiers in Artificial Intelligence)
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