Browse State-of-the-Art › Abuse Detection
Abuse Detection
32 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Abuse detection is the task of identifying abusive behaviors, such as hate speech, offensive language, sexism and racism, in utterances from social media platforms (Source: https://arxiv.org/abs/1802.00385).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 32 papers with code (73 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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29 May 2019 5 repositories listed Syntology ran 0 of 4 samples · 4 unverifiedTechnologies for abusive language detection are being developed and applied with little consideration of their potential biases.
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30 Aug 2018 4 repositories listedHowever, this dataset has not been comprehensively studied to its potential.
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7 Jan 2025 1 repository listedWe present an abuse detection and sentiment analysis framework that offers a longitudinal analysis of Hinduphobia on X (Twitter) during and after the COVID-19 pandemic.
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2 Dec 2024 1 repository listedWe investigate the potential of pre-trained audio representations for detecting abusive language in low-resource languages, in this case, in Indian languages using Few Shot Learning (FSL).
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2 Apr 2024 1 repository listedOnline gender-based harassment is a widespread issue limiting the free expression and participation of women and marginalized genders in digital spaces.
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21 Oct 2022 1 repository listedIn addition to the primary tasks of detecting and labeling attacks, TCAB can also be used for attack localization, attack target labeling, and attack characterization.
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6 Oct 2022 1 repository listedTo proactively offer social media users a safe online experience, there is a need for systems that can detect harmful posts and promptly alert platform moderators.
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5 Apr 2022 1 repository listedRobustness of machine learning models on ever-changing real-world data is critical, especially for applications affecting human well-being such as content moderation.
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17 Mar 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedEAR also reveals overfitting terms, i.
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16 Feb 2022 1 repository listedAbusive content detection in spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing.
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20 Sep 2021 1 repository listedWe find that the distribution of abuse is vastly different compared to other commonly used datasets, with more sexually tinted aggression towards the virtual persona of these systems.
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21 Jun 2021 1 repository listedIn this work, we introduce Adversarial Attacks against Abuse (AAA), a new evaluation strategy and associated metric that better captures a model’s performance on certain classes of hard-to-classify microposts, and for…
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30 Sep 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)While extensive popularity of online social media platforms has made information dissemination faster, it has also resulted in widespread online abuse of different types like hate speech, offensive language, sexist and…
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26 Jul 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)In this paper, we describe our approach to utilize pre-trained BERT models with Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language Identification shared task (OffensEval 2020), which is…
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18 May 2020 1 repository listedThe information technology revolution has facilitated reaching pornographic material for everyone, including minors who are the most vulnerable in case they were abused.
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12 May 2020 1 repository listedAlgorithms are widely applied to detect hate speech and abusive language in social media.
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1 May 2020 1 repository listedSince there was no publicly available dataset for multimodal offensive meme content detection, we leveraged the memes related to the 2016 U.
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Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection28 Apr 2020 1 repository listedNowadays, offensive content in social media has become a serious problem, and automatically detecting offensive language is an essential task.
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13 Mar 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)This large corpus of more than 380k annotated messages opens perspectives for online abuse detection and especially for context-based approaches.
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27 Sep 2019 1 repository listedIn this paper, we present our machine learning model, HateMonitor, developed for Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC), a shared task at FIRE 2019.
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1 Aug 2019 1 repository listedHate speech and abusive language spreading on social media need to be detected automatically to avoid conflict between citizen.
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1 Aug 2019 1 repository listedThe goal of any social media platform is to facilitate healthy and meaningful interactions among its users.
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1 Aug 2019 1 repository listedOnline abusive content detection is an inherently difficult task.
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1 Jun 2019 1 repository listedWe propose an attention-based neural network approach to detect abusive speech in online social networks.
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20 May 2019 1 repository listedIn recent years, online social networks have allowed worldwide users to meet and discuss.
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6 Apr 2019 1 repository listedThis paper describes the UM-IU@LING's system for the SemEval 2019 Task 6: OffensEval.
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12 Mar 2019 1 repository listedOnce we are happy with the quality of our input data, we proceed to choosing the optimal deep learning architecture for this task.
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1 Oct 2018 1 repository listedThe use of code-switched languages (\textit{e.
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1 Aug 2018 1 repository listedThe rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of hateful and offensive language on the Internet.
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13 Jan 2018 1 repository listedThis paper addresses the important problem of discerning hateful content in social media.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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