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Multilingual and Multi-Aspect Hate Speech Analysis
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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In this paper, we present a new multilingual multi-aspect hate speech analysis dataset and use it to test the current state-of-the-art multilingual multitask learning approaches. ...
Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. ...
department of the Hong Kong University of Science and Technology. ...
doi:10.18653/v1/d19-1474
dblp:conf/emnlp/OusidhoumLZSY19
fatcat:molbpoy2fffplie233bzlfktg4
Multilingual and Multi-Aspect Hate Speech Analysis
[article]
2019
arXiv
pre-print
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In this paper, we present a new multilingual multi-aspect hate speech analysis dataset and use it to test the current state-of-the-art multilingual multitask learning approaches. ...
Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. ...
department of the Hong Kong University of Science and Technology. ...
arXiv:1908.11049v1
fatcat:6b2evdtujze45kmp56c6e2xyby
Deep Learning Models for Multilingual Hate Speech Detection
[article]
2020
arXiv
pre-print
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In this paper, we conduct a large scale analysis of multilingual hate speech in 9 languages from 16 different sources. ...
These models could also act as good baselines for future multilingual hate speech detection tasks. ...
Research into the multilingual aspect of hate speech is relatively new. ...
arXiv:2004.06465v3
fatcat:t2ds5n3tqjc4te3aj2tvxubl7a
Detection of Racist Language in French Tweets
2022
Information
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Unfortunately, there are fewer datasets annotated for racist speech than for general hate speech available, especially for French. ...
In France, there has been a significant increase in hate speech against migrant and Muslim communities following events such as Great Britain's exit from the EU, the Charlie Hebdo attacks, and the Bataclan ...
The MLMA dataset is a multilingual multi-aspect hate speech analysis dataset containing Twitter posts in several languages. ...
doi:10.3390/info13070318
fatcat:c35tk5r4gzfkthh6evmii6jzz4
HateDetectors at HASOC 2020: Hate Speech Detection using Classical Machine learning and Transfer learning based approaches
2020
Forum for Information Retrieval Evaluation
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We have highlighted the importance of a monolingual model over a multi lingual BERT based model for hate speech detection. ...
We also highlight the importance of having a large, balanced training dataset on model performance for hate speech detection. ...
We hope our experimentation and analysis helps in tackling the problem of hate speech detection in some way. ...
dblp:conf/fire/ReddyT20
fatcat:o34z5yu2xze4badtp6m7w6wavi
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2103.11528v2 fatcat:jysqc5rnpvfaxiji3sfr63nzfeOther Versions
On social medias, hate speech has become a critical problem for social network users. ...
To solve this problem, we introduce the ViHSD - a human-annotated dataset for automatically detecting hate speech on the social network. ...
Moreover, current researches about hate speech detection do not focus on analyzing about the sentiment aspect of Vietnamese hate speech language. ...
arXiv:2103.11528v3
fatcat:owb3rzo2araydmlll3vcwyfem4
ComMA@FIRE 2020: Exploring Multilingual Joint Training across different Classification Tasks
2020
Forum for Information Retrieval Evaluation
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In this paper, we give a description of the systems submitted to the three tracks of FIRE 2020 -Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC), Sentiment Analysis of ...
While the first two tasks were binary and multi-class text classification problems, EDNIL was a sequence classification problem. ...
In sub-task A, the data was annotated as HOF (Hate Speech and Offensive Language) and NOT (Not Offensive). ...
dblp:conf/fire/KumarLOB20
fatcat:suwylxin7fhpbmajwk3bxvbapq
Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings
[article]
2021
arXiv
pre-print
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Our best performing neural classifier model includes One-vs-the-Rest approach where we obtained 92.60%, 81.14%,69.59%, 75.29% and 73.01% F1 scores for hostile, fake, hate, offensive, and defamation labels ...
We view this hostility detection as a multi-label multi-class classification problem. We propose an effective neural network-based technique for hostility detection in Hindi posts. ...
in traffic by hate and offensive speech promoters against the Asian community and a 900% increase in similar contents towards Chinese people. ...
arXiv:2101.04998v1
fatcat:z4bdmqg7mzdlbggjh7am472o2q
Towards multidomain and multilingual abusive language detection: a survey
2021
Personal and Ubiquitous Computing
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and cross-lingual settings. ...
This study also outlines several challenges and open problems of this area, providing insights and a useful roadmap for future work. ...
[103] presented a more comprehensive study on resources and benchmarks available for hate speech detection tasks based on several aspects. ...
doi:10.1007/s00779-021-01609-1
fatcat:ufiyagb6grel7ojjkyhb2vjtrm
A systematic review of Hate Speech automatic detection using Natural Language Processing
[article]
2021
arXiv
pre-print
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With the multiplication of social media platforms, which offer anonymity, easy access and online community formation, and online debate, the issue of hate speech detection and tracking becomes a growing ...
challenge to society, individual, policy-makers and researchers. ...
MLMA hate
speech
Link, dataset
and
soruce
code available
Multilingual multi-aspect hate speech analysis
dataset
Ousidhoum
et al. [103],
2019b
-
LR
35
3
9. ...
arXiv:2106.00742v1
fatcat:qwxjwgma4zaynemge57cu7xqlm
Cross-Lingual Few-Shot Hate Speech and Offensive Language Detection using Meta Learning
2022
IEEE Access
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15 datasets across 8 languages for hate speech and 6 datasets across 6 languages for offensive language. ...
We propose a meta learning-based approach to study the problem of few-shot hate speech and offensive language detection in low-resource languages that will allow hateful or offensive content to be predicted ...
[46] presented the first multilingual multi-aspect hate speech analysis dataset in English, French, and Arabic tweets and evaluated several multilingual multi-task learning approaches for the identification ...
doi:10.1109/access.2022.3147588
fatcat:aljv6fkhsvcspkrf7bojgkquwe
IRLab@IITV@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text Using BERT-BASE
2020
Forum for Information Retrieval Evaluation
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This paper discusses our participation in the "Sentiment Analysis in Dravidian-CodeMix", Dravidian-CodeMix and "Hate Speech and Offensive Content Identification in Indo-European Languages"-FIRE 2020 tasks ...
Several techniques are applied for sentiment analysis including the recent word embeddings-based methods. ...
spread of hate speech and rude behavior [6] . ...
dblp:conf/fire/SarojP20
fatcat:wx5nyd7d55d3heyun3kkolfxu4
DLRG@HASOC 2020: A Hybrid Approach for Hate and Offensive Content Identification in Multilingual Tweets
2020
Forum for Information Retrieval Evaluation
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Hate speech and posting offensive contents has become a major issue nowadays. ...
In the proposed approach, Multi-class imbalance-based feature selection method is combined with an SVM classifier to classify the tweet as a hate speech or not. ...
Also, the authors thank the Science and Engineering Research Board, Govt. of India for their financial support (ECR/2016/000484). ...
dblp:conf/fire/BR20
fatcat:nfdvwrresnaddkpepvglzioh3q
Large-Scale Hate Speech Detection with Cross-Domain Transfer
[article]
2022
arXiv
pre-print
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Existing datasets are mostly prepared with a limited number of instances or hate domains that define hate topics. This hinders large-scale analysis and transfer learning with respect to hate domains. ...
large-scale hate speech detection. ...
In Section 5, we provide discussions on error analysis and scalability. ...
arXiv:2203.01111v2
fatcat:zxxkhd2dnrheleckt3xgoe4rca
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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In this paper, we describe the creation of the first large-scale, multilingual, expert-based dataset of hate speech/counter-narrative pairs. ...
Tackling hate speech in the standard way of content deletion or user suspension may be charged with censorship and overblocking. ...
We are grateful to the following NGOs and all annotators for their help: Stop Hate UK, Collectif Contre l'Islamophobie en France, Amnesty International (Italian Section -Task force hate speech). ...
doi:10.18653/v1/p19-1271
dblp:conf/acl/ChungKTG19
fatcat:oegcmkbspve47l7l2lmvr7hawu
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