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Keyword

toxic comments

Description: Toxic comments are online messages perceived as hostile, abusive, or harmful, and are studied in discourse analysis and automated content moderation.
OpenAlex ID: keywords/toxic-comments
Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison
2020 · Aravind Sesagiri Raamkumar, Soon Guan Tan, et al. · Journal of Medical Internet Research · 166
“HOT” ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media
2024 · Lingyao Li, Lizhou Fan, et al. · ACM Transactions on the Web · 104
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Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media
2019 · Mengfan Yao, Charalampos Chelmis, et al. · 80
"Did you miss my comment or what?"
2022 · Courtney Miller, Sophie Cohen, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 76
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Classification of Abusive Comments in Social Media using Deep Learning
2019 · Mukul Anand, R. Eswari · International Conference on Computing Methodologies and Communication (ICCMC) · 74
Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content
2020 · Giannis Haralabopoulos, Ioannis Anagnostopoulos, et al. · Algorithms · 71
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“It’s common and a part of being a content creator”: Understanding How Creators Experience and Cope with Hate and Harassment Online
2022 · Kurt Thomas, Patrick Gage Kelley, et al. · CHI Conference on Human Factors in Computing Systems · 64
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Classification of Online Toxic Comments Using Machine Learning Algorithms
2020 · Rahul, Harsh Kajla, et al. · International Conference on Intelligent Computing and Control Systems (ICICCS) · 57
Detecting Toxicity Triggers in Online Discussions
2019 · Hind Almerekhi, Haewoon Kwak, et al. · ACM Conference on Hypertext and Social Media (HT) · 46
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube
2021 · Sultan Alshamrani, Ahmed Abusnaina, et al. · The Web Conference (WWW) · 39
Exploring the Effectiveness of Different Embedding Methods for Toxicity Classification
2024 · Essam Al-Daoud, Ghassan Samara, et al. · Studies in systems, decision and control · 38
Investigating Toxicity Across Multiple Reddit Communities, Users, and Moderators
2020 · Hind Almerekhi, Supervised by Bernard J. Jansen, et al. · The Web Conference (WWW) · 36
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments
2021 · Julian Risch, Anke Stoll, et al. · 30
Understanding the Behaviors of Toxic Accounts on Reddit
2023 · Deepak Kumar, Jeff Hancock, et al. · ACM Web Conference (WWW) · 28
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Classification of Toxicity in Comments using NLP and LSTM
2022 · Anusha Garlapati, Neeraj Malisetty, et al. · International Conference on Advanced Computing and Communication Systems (ICACCS) · 28
Detecting and Measuring the Exposure of Children and Adolescents to Inappropriate Comments in YouTube
2020 · Sultan Alshamrani · Proceedings of the ... ACM International Conference on Information & Knowledge Management · 21
Public Response to a Social Media Tobacco Prevention Campaign: Content Analysis
2020 · Anuja Majmundar, NamQuyen Le, et al. · JMIR Public Health and Surveillance · 20
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Investigating toxicity changes of cross-community redditors from 2 billion posts and comments
2022 · Hind Almerekhi, Haewoon Kwak, et al. · PeerJ Computer Science · 19
Social Media's Toxic Comments Detection Using Artificial Intelligence Techniques
2023 · Rabia Rachidi, Mohamed Amine Ouassil, et al. · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · 17
You’ve never been welcome here: exploring the relationship between exclusivity and incivility in online forums
2022 · Russell W. Hansen · Journal of Information Technology & Politics · 13
Sentimen Analisis Komentar Toxic pada Grup Facebook Game Online Menggunakan Klasifikasi Naïve Bayes
2020 · Renaldy Permana Sidiq, Budi Arif Dermawan, et al. · Jurnal Informatika Universitas Pamulang · 13
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Should We Feed the Trolls? Using Marketer-Generated Content to Explain Average Toxicity and Product Usage
2023 · Marcelo Vinhal Nepomuceno, Hooman Rahemi, et al. · Journal of Interactive Marketing · 12
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VulnerCheck: A Content-Agnostic Detector for Online Hatred-Vulnerable Videos
2019 · Lanyu Shang, Daniel Yue Zhang, et al. · IEEE International Conference on Big Data (BigData) · 11
Detecting toxic comments on social media: an extensive evaluation of machine learning techniques
2024 · Dharil Patel, Pijush Kanti Dutta Pramanik, et al. · Journal of Computational Social Science · 10
Classification of social media Toxic comments using Machine learning models
2023 · Poojitha, K., Charish, A. Sai, et al. · arXiv (Cornell University) · 8
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Works count: 214
Citation count: 1,278
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