Cover Image

Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ali, Shiza, Blackburn, Jeremy, Stringhini, Gianluca
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unraveling the Web of Disinformation: Exploring the Larger Context of State-Sponsored Influence Campaigns on Twitter
by: Saeed, Mohammad Hammas, et al.
Published: (2024)

TUBERAIDER: Attributing Coordinated Hate Attacks on YouTube Videos to their Source Communities
by: Saeed, Mohammad Hammas, et al.
Published: (2023)

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection
by: Piot, Paloma, et al.
Published: (2024)

iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023
by: Patel, Jay, et al.
Published: (2024)

HateMirage: An Explainable Multi-Dimensional Dataset for Decoding Faux Hate and Subtle Online Abuse
by: Kasu, Sai Kartheek Reddy, et al.
Published: (2026)

Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures
by: Yuan, Lanqin, et al.
Published: (2022)

HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes
by: Su, Xuanyu, et al.
Published: (2024)

Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language
by: Shahi, Gautam Kishore, et al.
Published: (2024)

In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions
by: Nettasinghe, Buddhika, et al.
Published: (2024)

AggregHate: An Efficient Aggregative Approach for the Detection of Hatemongers on Social Platforms
by: Marzea, Tom, et al.
Published: (2024)

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
by: Nghiem, Huy, et al.
Published: (2024)

Testing Hypotheses from the Social Approval Theory of Online Hate: An Analysis of 110 Million Messages from Parler
by: Markowitz, David M., et al.
Published: (2025)

An Investigation of Large Language Models for Real-World Hate Speech Detection
by: Guo, Keyan, et al.
Published: (2024)

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
by: Hebert, Liam, et al.
Published: (2023)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
by: Zhang, Jiajun, et al.
Published: (2024)

Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
by: Fillies, Jan, et al.
Published: (2025)

Large Language Models and Thematic Analysis: Human-AI Synergy in Researching Hate Speech on Social Media
by: Breazu, Petre, et al.
Published: (2024)

Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
by: Wasi, Azmine Toushik
Published: (2023)

Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models
by: Vishwamitra, Nishant, et al.
Published: (2023)

Hate Speech and Sentiment of YouTube Video Comments From Public and Private Sources Covering the Israel-Palestine Conflict
by: Hofmann, Simon, et al.
Published: (2025)

Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge
by: Liu, Xiao, et al.
Published: (2025)

StopHC: A Harmful Content Detection and Mitigation Architecture for Social Media Platforms
by: Truică, Ciprian-Octavian, et al.
Published: (2024)

A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech
by: Verma, Gaurav, et al.
Published: (2024)

Efficient Hate Speech Detection: Evaluating 38 Models from Traditional Methods to Transformers
by: Abusaqer, Mahmoud, et al.
Published: (2025)

Seeing Hate Differently: Hate Subspace Modeling for Culture-Aware Hate Speech Detection
by: Cai, Weibin, et al.
Published: (2025)

Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
by: Cui, Chaoqun, et al.
Published: (2025)

Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes
by: Fu, Zihang, et al.
Published: (2026)

CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities
by: He, Zihao, et al.
Published: (2023)

Exploring Text Representations for Online Misinformation
by: Dogo, Martins Samuel
Published: (2024)

REMOD: Relation Extraction for Modeling Online Discourse
by: Sumpter, Matthew, et al.
Published: (2021)

Toxic Synergy Between Hate Speech and Fake News Exposure
by: Kim, Munjung, et al.
Published: (2024)

Roll in the Tanks! Measuring Left-wing Extremism on Reddit at Scale
by: Balcı, Utkucan, et al.
Published: (2023)

The Geography of Information Diffusion in Online Discourse on Europe and Migration
by: Leonardelli, Elisa, et al.
Published: (2024)

Defining, Understanding, and Detecting Online Toxicity: Challenges and Machine Learning Approaches
by: Shahi, Gautam Kishore, et al.
Published: (2025)

Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management
by: Yimam, Seid Muhie, et al.
Published: (2024)

Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit
by: Laud, Tanmay, et al.
Published: (2025)

Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy
by: Sun, Yifan, et al.
Published: (2024)

Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse
by: Gatto, Joseph, et al.
Published: (2024)

Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement
by: Tian, Lin, et al.
Published: (2025)

How Similar Are Elected Politicians and Their Constituents? Quantitative Evidence From Online Social Networks
by: Iqbal, Waleed, et al.
Published: (2024)