Image de couverture de livre

The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tufa, Wondimagegnhue Tsegaye, Markov, Ilia, Vossen, Piek
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Grounding Toxicity in Real-World Events across Languages
par: Tufa, Wondimagegnhue Tsegaye, et autres
Publié: (2024)

Unknown Script: Impact of Script on Cross-Lingual Transfer
par: Tufa, Wondimagegnhue Tsegaye, et autres
Publié: (2024)

Truth-value judgment in language models: 'truth directions' are context sensitive
par: Schouten, Stefan F., et autres
Publié: (2024)

Understanding and Analyzing Inappropriately Targeting Language in Online Discourse: A Comparative Annotation Study
par: Barbarestani, Baran, et autres
Publié: (2025)

Assessing and Refining ChatGPT's Performance in Identifying Targeting and Inappropriate Language: A Comparative Study
par: Baran, Barbarestani, et autres
Publié: (2025)

Leveraging Open-Source Large Language Models for Native Language Identification
par: Ng, Yee Man, et autres
Publié: (2024)

Knowledge acquisition for dialogue agents using reinforcement learning on graph representations
par: Santamaria, Selene Baez, et autres
Publié: (2024)

Analyzing Toxicity in Deep Conversations: A Reddit Case Study
par: Shankaran, Vigneshwaran, et autres
Publié: (2024)

Extracting triples from dialogues for conversational social agents
par: Vossen, Piek, et autres
Publié: (2024)

Leveraging LLMs for Context-Aware Implicit Textual and Multimodal Hate Speech Detection
par: Brook, Joshua Wolfe, et autres
Publié: (2025)

Do Differences in Values Influence Disagreements in Online Discussions?
par: van der Meer, Michiel, et autres
Publié: (2023)

Analyzing User Perceptions of Large Language Models (LLMs) on Reddit: Sentiment and Topic Modeling of ChatGPT and DeepSeek Discussions
par: Katta, Krishnaveni
Publié: (2025)

An Empirical Analysis of Diversity in Argument Summarization
par: van der Meer, Michiel, et autres
Publié: (2024)

Is Peer Review Really in Decline? Analyzing Review Quality across Venues and Time
par: Kuznetsov, Ilia, et autres
Publié: (2026)

Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit
par: Bouzoubaa, Layla, et autres
Publié: (2024)

Leveraging Large Language Models and Topic Modeling for Toxicity Classification
par: Oskouie, Haniyeh Ehsani, et autres
Publié: (2024)

Muse-it: A Tool for Analyzing Music Discourse on Reddit
par: Agarwala, Jatin, et autres
Publié: (2025)

A Hybrid Intelligence Method for Argument Mining
par: van der Meer, Michiel, et autres
Publié: (2024)

Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models
par: Icard, Benjamin, et autres
Publié: (2025)

Analyzing the Roles of Language and Vision in Learning from Limited Data
par: Chen, Allison, et autres
Publié: (2024)

Analyzing Cancer Patients' Experiences with Embedding-based Topic Modeling and LLMs
par: Ionescu, Teodor-Călin, et autres
Publié: (2026)

PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading
par: Han, Qiuhan, et autres
Publié: (2025)

LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations
par: Azhar, Ibrahim Al, et autres
Publié: (2025)

Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection
par: Abumansour, Amani S., et autres
Publié: (2024)

Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit
par: Velutharambath, Aswathy, et autres
Publié: (2026)

RV-HATE: Reinforced Multi-Module Voting for Implicit Hate Speech Detection
par: Lee, Yejin, et autres
Publié: (2025)

Tales of the 2025 Los Angeles Fire: Hotwash for Public Health Concerns in Reddit via LLM-Enhanced Topic Modeling
par: Zhou, Sulong, et autres
Publié: (2025)

Semantic-Driven Topic Modeling for Analyzing Creativity in Virtual Brainstorming
par: Mersha, Melkamu Abay, et autres
Publié: (2025)

The Moral Foundations Reddit Corpus
par: Trager, Jackson, et autres
Publié: (2022)

Is Personality Prediction Possible Based on Reddit Comments?
par: Deimann, Robert, et autres
Publié: (2024)

Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling
par: Mu, Yida, et autres
Publié: (2024)

Quantifying Gender Biases Towards Politicians on Reddit
par: Marjanovic, Sara, et autres
Publié: (2021)

Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts
par: Zhu, Jianfeng, et autres
Publié: (2025)

Reddit is all you need: Authorship profiling for Romanian
par: Ştefănescu, Ecaterina, et autres
Publié: (2024)

Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit
par: Stanier, Tessa, et autres
Publié: (2024)

Performance evaluation of Reddit Comments using Machine Learning and Natural Language Processing methods in Sentiment Analysis
par: Zhang, Xiaoxia, et autres
Publié: (2024)

Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions
par: Sharma, Neha, et autres
Publié: (2024)

Detection and Analysis of Stress-Related Posts in Reddit Acamedic Communities
par: Oryngozha, Nazzere, et autres
Publié: (2023)

Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
par: Pätz, Lukas, et autres
Publié: (2025)

PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic Degeneration in Large Language Models
par: Jain, Devansh, et autres
Publié: (2024)