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An Online Multilingual Hate speech Recognition System [article]

Neeraj Vashistha, Arkaitz Zubiaga
2020 arXiv   pre-print
While the volume of harmful content online, such as hate speech, is not manageable by humans, interest in the academic community to investigate automated means for hate speech detection has increased.  ...  We prove the competitive performance of our multilingual model on two langauges, English and Hindi, leading to comparable or superior performance to most monolingual models.  ...  Twitter's Public API, with its easy to use, highly availability and accessibility, it is one of the most sought and targeted online social media platforms.  ... 
arXiv:2011.11523v2 fatcat:smijrlwu3bc6pfqufeiwhz4oei

HateMonitors: Language Agnostic Abuse Detection in Social Media [article]

Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee
2019 arXiv   pre-print
Reducing hateful and offensive content in online social media pose a dual problem for the moderators. On the one hand, rigid censorship on social media cannot be imposed.  ...  Hence, we require efficient abusive language detection system to detect such harmful content in social media.  ...  In this paper, we focus on the detection of multilingual hate speech detection that are written in Hindi, English, and German and describe our submission (HateMonitors) for HASOC at FIRE 2019 competition  ... 
arXiv:1909.12642v1 fatcat:tdzy3tabr5fsrnl46kdm6tcx6e

A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection

Aditya Bohra, Deepanshu Vijay, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
2018 Proceedings of the Second Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media  
While relevant research has been done independently on code-mixed social media texts and hate speech detection, our work is the first attempt in detecting hate speech in Hindi-English code-mixed social  ...  In this paper, we analyze the problem of hate speech detection in code-mixed texts and present a Hindi-English code-mixed dataset consisting of tweets posted online on Twitter.  ...  Detecting hate speech is thus important for lawmakers and social media platforms to discourage occurence of any wrongful activities.  ... 
doi:10.18653/v1/w18-1105 dblp:conf/acl-peoples/BohraVSAS18 fatcat:qneo6vnoznfc5atrokygkei3cm

Hate and Offensive Speech Detection in Hindi and Marathi [article]

Abhishek Velankar, Hrushikesh Patil, Amol Gore, Shubham Salunke, Raviraj Joshi
2021 arXiv   pre-print
Still hate and offensive speech detection faces a challenge due to inadequate availability of data, especially for Indian languages like Hindi and Marathi.  ...  The basic models based on CNN and LSTM are augmented with fast text word embeddings. We use the HASOC 2021 Hindi and Marathi hate speech datasets to compare these algorithms.  ...  We would like to express our gratitude towards our mentors at L3Cube for their continuous support and encouragement.  ... 
arXiv:2110.12200v2 fatcat:v6pkub4ycbgivjebzg3ju6stoe

Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings [article]

Arkadipta De, Venkatesh E, Kaushal Kumar Maurya, Maunendra Sankar Desarkar
2021 arXiv   pre-print
Due to the wide adoption of social media platforms like Facebook, Twitter, etc., there is an emerging need of detecting online posts that can go against the community acceptance standards.  ...  The proposed model outperformed the existing baseline models and emerged as the state-of-the-art model for detecting hostility in the Hindi posts.  ...  Bohra et. al. [3] analyzed the problem of detecting hate speech in Hindi-English code-mixed social media text.  ... 
arXiv:2101.04998v1 fatcat:z4bdmqg7mzdlbggjh7am472o2q

A Survey on Multilingual Hate Speech Detection and Classification by Machine Learning Techniques

FHA. Shibly*, Uzzal Sharma**, HMM. Naleer***
2021 Zenodo  
Social media plays a significant role in hate speech spreading online.  ...  This paper proposes background detection of hate speech. Furthermore, anti-social behaviour topics and recent contributions of hate speech are reviewed.  ...  Related works for automatic Hate Speech Detection in Social Networks Social media abuse is a multifaceted issue that takes on a variety of shapes and objectives.  ... 
doi:10.5281/zenodo.5599745 fatcat:lncqkhbbybgndka6eovvafcyti

Contextual Hate Speech Detection in Code Mixed Text using Transformer Based Approaches [article]

Ravindra Nayak, Raviraj Joshi
2021 arXiv   pre-print
We, therefore, propose automated techniques for hate speech detection in code mixed text from scraped Twitter. We specifically focus on code mixed English-Hindi text and transformer-based approaches.  ...  It is essential to detect and curb hate speech to keep the sanity of social media platforms. Also, code mixed text containing more than one language is frequently used on these platforms.  ...  We would like to express our gratitude towards our mentors at L3Cube for their continuous support and encouragement.  ... 
arXiv:2110.09338v2 fatcat:t5fvcefoszeoja3pbzefsujygy

Ceasing hate withMoH: Hate Speech Detection in Hindi-English Code-Switched Language [article]

Arushi Sharma, Anubha Kabra, Minni Jain
2021 arXiv   pre-print
One factor contributing to this is the prevalence of regional languages in social media and the paucity of language flexible hate speech detectors.  ...  Due to the greater sense of freedom with the anonymity feature, it is possible to disregard social etiquette online and attack others without facing severe consequences, inevitably propagating hate speech  ...  Hate speech detection in Hindi-English code switched domain The publicly available Hindi-English hate speech datasets extracted from social media are the Hate Speech dataset (HS) (Bohra et al., 2018)  ... 
arXiv:2110.09393v1 fatcat:7urx6bw4fba6fcfj2pnfascrta

Hate Speech Detection on Multilingual Twitter Using Convolutional Neural Networks

Aya Elouali, Zakaria Elberrichi, Nadia Elouali
2020 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
Hate speech detection on Twitter is often treated in monolingual (in English generally) ignoring the fact that Twitter is a global platform where everyone expresses himself with his natal language.  ...  at the same time) to hate speech or non hate speech.  ...  Code Mixed Social Media Text" [40]: 4575 tweets in Hindi-English Code-Mixed language (a tweet contains both Hindi and English at the same time) including 1661 tweets containing hate speech.  ... 
doi:10.18280/ria.340111 fatcat:swzdbmzkzzgazmz6fjxwbguioi

Hostility Detection and Covid-19 Fake News Detection in Social Media [article]

Ayush Gupta, Rohan Sukumaran, Kevin John, Sundeep Teki
2021 arXiv   pre-print
Consequently, the propagation of fake news and hostile messages on social media platforms has also skyrocketed.  ...  We leverage entity information extracted from the tweets along with textual representations learned from word embeddings and achieve a 0.93 F1 score on the English fake news detection task.  ...  Also, hate speech detection is a widely studied topic [7, 10] with most of the work focused on developing binary classification models for English.  ... 
arXiv:2101.05953v1 fatcat:ttwfdvmgtvh5rm6uumvwlylf54

Evaluation of Deep Learning Models for Hostility Detection in Hindi Text [article]

Ramchandra Joshi, Rushabh Karnavat, Kaustubh Jirapure, Raviraj Joshi
2021 arXiv   pre-print
Hate speech and derogatory remarks are being posted for personal satisfaction or political gain. The hostile posts can have a bullying effect rendering the entire platform experience hostile.  ...  Therefore detection of hostile posts is important to maintain social media hygiene. The problem is more pronounced languages like Hindi which are low in resources.  ...  We would like to express our gratitude towards our mentors at L3Cube for their continuous support and encouragement.  ... 
arXiv:2101.04144v4 fatcat:2334yi6zlzflpdv7noy7n7qigq

Hope Speech detection in under-resourced Kannada language [article]

Adeep Hande, Ruba Priyadharshini, Anbukkarasi Sampath, Kingston Pal Thamburaj, Prabakaran Chandran, Bharathi Raja Chakravarthi
2021 arXiv   pre-print
Consequently, we propose creating an English-Kannada Hope speech dataset, KanHope and comparing several experiments to benchmark the dataset.  ...  Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms.  ...  .: A dataset of Hindi-English code-mixed social media text for hate speech detection.  ... 
arXiv:2108.04616v2 fatcat:mxawtdglxbgmflsmjers6htdja

Detecting Hostile Posts using Relational Graph Convolutional Network [article]

Sarthak, Shikhar Shukla, Karm Veer Arya
2021 arXiv   pre-print
This work is based on the submission to the competition Hindi Constraint conducted by AAAI@2021 for detection of hostile posts in Hindi on social media platforms.  ...  Here, a model is presented for detection and classification of hostile posts and further classify into fake, offensive, hate and defamation using Relational Graph Convolutional Networks.  ...  [15] compiled a Hindi-English code-mixed dataset for detecting hate speech in social media communications.  ... 
arXiv:2101.03485v2 fatcat:524kggl56jhhdi2dvuekk2jspu

A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data

Priya Rani, Shardul Suryawanshi, Koustava Goswami, Bharathi Raja Chakravarthi, Theodorus Fransen, John Philip McCrae
2020 Zenodo  
In our work, we attempt to analyze, detect and provide a comparative study of hate speech in a code-mixed social media text.  ...  Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities.  ...  While there is some relevant and independent work on code-mixed social media content, few efforts have been made to detect hate speech in Hindi-English code-mixed data.  ... 
doi:10.5281/zenodo.3842627 fatcat:q3ysbwosnfhftmniko7dlf2aiy

An Improve Framework for hate speech detection using Machine Learning Approach

J. Palimote, F. Gaage
2021 IJARCCE  
The paper proposes an improve framework for hate speech detection using machine learning approach.  ...  We proposed a system to detect hate speech using machine learning approach, we trained our model using support vector machine and random forest classifier and had an accuracy of 95% and 99%.  ...  Be that as it may, in multilingual social orders like India, utilization of code-blended dialects (among which Hindi-English is generally noticeable) is very normal for passing on feelings on the web.  ... 
doi:10.17148/ijarcce.2021.10332 fatcat:6azn4xim6rgypiqtagjgwypyjm
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