Search Results - "Offensive Language"

Television dialogue and subtitling: a corpus-driven study of police procedurals

Authors: Arias Badia, Blanca

Contributors: University/Department: Universitat Pompeu Fabra. Departament de Traducció i Ciències del llenguatge

Thesis Advisors: Torner Castells, Sergi, Brumme, Jenny

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Audiovisual translation, Subtitling, Television dialogue, Scripted dialogue, Fictive orality, Police procedural, Television series, Spoken language, Written language, Neuter language, Corpus-driven research, Corpus-based research, Norms, Audiovisual text, Coordination, Subordination, Ellipsis, Syntactic order, Number disagreement, Aboutness, Discriminant analysis, Lexical density, Terminological density, Creative lexicon, Anomalous collocation, Metaphor, Coercion, Hyperbole, Euphemism, Expressive neology, Language exploitation, Offensive language, Affective language, Vocabulary richness, Information load, Question tags, Tagging

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/404733

VocalTweets: Investigating social media offensive language among Nigerian musicians

Authors: Oluyele, Sunday Anthony Akingbade, Juwon Akinode, Victor

Source: Dutse Journal of Pure and Applied Sciences; Vol. 10 No. 4c (2024); 109-119

Subject Terms: Offensive Language, Natural Language Processing, Multilingual, Social Media, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computation and Language (cs.CL), Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2411.06477
https://www.ajol.info/index.php/dujopas/article/view/287356

An Automatic Approach for the Identification of Offensive Language in Perso-Arabic Urdu Language: Dataset Creation and Evaluation

Authors: Salah Ud Din Shah Khusro Farman Ali Khan et al.

Source: IEEE Access, Vol 13, Pp 19755-19769 (2025)

Subject Terms: Urdu language dataset, hate speech, Offensive language identification, Electrical engineering. Electronics. Nuclear engineering, OLID taxonomy, machine learning classifiers, cyberbullying, TK1-9971

Access URL: https://doaj.org/article/021350a1d1d1427b9750b56df45bfabe

Argumentação em discursos de ódio no Facebook: uma categorização contributiva à Linguística Forense e à Linguística Computacional

Authors: Welton Pereira e Silva

Source: Revista de Estudos da Linguagem, Vol 29, Iss 4, Pp 2367-2395 (2021)

Subject Terms: discurso de ódio, hate speech, Offensive Language, Argumentative, Social Sciences, P1-1091, FOS: Law, Argumentation theory, Online Harassment, argumentação, Humanities, Sociology, 5. Gender equality, argumentation, Artificial Intelligence, Automated Detection of Hate Speech and Offensive Language, Hate Speech, Psychology, 0501 psychology and cognitive sciences, 10. No inequality, Philology. Linguistics, Language and Literature, 4. Education, 05 social sciences, Constitutional Law and Human Rights, FOS: Humanities, Linguistics, 06 humanities and the arts, 16. Peace & justice, FOS: Philosophy, ethics and religion, FOS: Sociology, FOS: Psychology, Philosophy, violência verbal, Computer Science, Physical Sciences, 0602 languages and literature, 8. Economic growth, verbal violence, FOS: Languages and literature, Law

Access URL: http://periodicos.letras.ufmg.br/index.php/relin/article/download/18140/pdf
https://doaj.org/article/4e7fa1dfe593406b9d1e4fd00600a93f
http://www.periodicos.letras.ufmg.br/index.php/relin/article/view/18140
http://www.periodicos.letras.ufmg.br/index.php/relin/article/download/18140/pdf

Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach

Authors: Sanjiban Sekhar Roy Abhijit Guha Roy Pijush Samui et al.

Source: IEEE Transactions on Computational Social Systems. 11:5028-5037

Subject Terms: Artificial neural network, Artificial intelligence, Support vector machine, Naive Bayes classifier, Computer Networks and Communications, Offensive Language, Natural language processing, 4. Education, 16. Peace & justice, Computer science, 3. Good health, Detection, Artificial Intelligence, Machine Learning for Internet Traffic Classification, Computer Science, Physical Sciences, Machine learning, 8. Economic growth, Automated Detection of Hate Speech and Offensive Language, Network Intrusion Detection and Defense Mechanisms, Hate Speech, Botnet Detection, 10. No inequality, Natural Language Processing, Random forest

Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language Detection

Authors: TANYEL, Toygar ALKURDI, Besher AYVAZ, Serkan

Source: Turkish Journal of Electrical Engineering and Computer Sciences. 32:829-848

Subject Terms: FOS: Computer and information sciences, Computer Science - Computation and Language, Offensive language, Computer Science - Artificial Intelligence, linguistics, cs.CL, deep learning, data mining, cs.AI, data-augmentation, Artificial Intelligence (cs.AI), 10. No inequality, Computation and Language (cs.CL), contextual models

Access URL: http://arxiv.org/abs/2312.01787
https://avesis.yildiz.edu.tr/publication/details/0d3c9aff-705a-4e66-9bc5-ea8c718cfb20/oai

Beyond words: a hybrid transformer-ensemble approach for detecting hate speech and offensive language on social media

Authors: Uzair Iftikhar Syed Farooq Ali Ghulam Mustafa et al.

Source: PeerJ Computer Science, Vol 11, p e3214 (2025)

Subject Terms: Hate speech, Offensive language, Sentiment analysis, Social media, Text classification, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://peerj.com/articles/cs-3214.pdf; https://peerj.com/articles/cs-3214/; https://doaj.org/toc/2376-5992

Access URL: https://doaj.org/article/d16bfe0899e34dfda34b7e89a1dbbfd7

MEDIA AND HATE SPEECH: A DISCURSIVE STUDY OF HATE SPEECH ON NAIRALAND FORUM

Authors: Taibat Akinsanya

Source: Sprin Journal of Arts, Humanities and Social Sciences. 3:52-61

Subject Terms: Swearing and Taboo Language in Communication, Offensive Language, Social Sciences, Online Harassment, Sociology, 5. Gender equality, Artificial Intelligence, Automated Detection of Hate Speech and Offensive Language, Hate Speech, 10. No inequality, Language Use, 0505 law, Indirect speech, 9. Industry and infrastructure, Communication, 4. Education, 05 social sciences, Media studies, Linguistics, 16. Peace & justice, 0506 political science, FOS: Sociology, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, Computer Science, Physical Sciences, 8. Economic growth, FOS: Languages and literature

PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing

Authors: Fatemeh Jafarinejad Marziea Rahimi Maryam Khodabakhsh et al.

Source: Computer and Knowledge Engineering, Vol 8, Iss 1, Pp 35-42 (2025)

Subject Terms: offensive language, labeling, crowdsourcing, natural language processing, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://cke.um.ac.ir/article_46412_dc00307da37c32ca327cb54c47db3a32.pdf; https://doaj.org/toc/2538-5453; https://doaj.org/toc/2717-4123

Access URL: https://doaj.org/article/dee757b585b64ef3ae4b4cdbc831bd75

Arabic Offensive Language Classification: Leveraging Transformer, LSTM, and SVM

Authors: Rasheed, Areeg Fahad Zarkoosh, M. Abbas, Safa et al.

Contributors: Rasheed, Areeg Fahad Zarkoosh, M. Abbas, Safa et al.

Source: 2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT). :1-6

Subject Terms: Transformer, LSTM and SVM NLP Machine learning Transformer SVM offensive language, SVM, Machine learning, offensive language, and SVM NLP, [INFO] Computer Science [cs], LSTM, 10. No inequality

File Description: application/pdf

Access URL: https://hal.science/hal-04572679v1
https://hal.science/hal-04572679v1/document
https://doi.org/10.1109/icmlant59547.2023.10372866

AI-DRIVEN E-COMMERCE REVIEW ANALYSIS USING BERT ALGORITHM

Authors: Kodityala Prasanna Laxmi Pamula Swathi Ms.M.Mamatha et al.

Subject Terms: BERT, Content Moderation, NLP, Offensive Language, Deep Learning, Toxicity Detection, Real-time Analysis, Multilingual Support, MongoDB

An Approach to Sensitive Content Moderation Using Bert Algorithm

Authors: Maryala Harshitha Cheekati Sanjay Ms. Vedavathi K. et al.

Subject Terms: BERT, content moderation, NLP, offensive language, deep learning, toxicity detection, real-time analysis, multilingual support, MongoDB

Deep learning-based approaches for abusive content detection and classification for multi-class online user-generated data

Authors: Simrat Kaur Sarbjeet Singh Sakshi Kaushal

Source: International Journal of Cognitive Computing in Engineering, Vol 5, Iss, Pp 104-122 (2024)

Subject Terms: Offensive language, Science, QA75.5-76.95, 02 engineering and technology, Long short term memory, Abusive language, 03 medical and health sciences, Target identification, Electronic computers. Computer science, Deep learning models, Offensive language categorization, 0202 electrical engineering, electronic engineering, information engineering, 0305 other medical science

Access URL: https://doaj.org/article/8d6af6da5e794df0923aab3586e49b57

Safeguarding Online Communications using DistilRoBERTa for Detection of Terrorism and Offensive Chats

Authors: Mohamed Safwan Saalik Shah Amr Mohamed Abuaieta Shaima Saeed Almazrouei

Source: Journal of Information Security and Cybercrimes Research, Vol 7, Iss 1, Pp 93-107 (2024)

Subject Terms: Criminal law and procedure, K5000-5582, social media, offensive language, 0202 electrical engineering, electronic engineering, information engineering, Q300-390, large language models, 02 engineering and technology, distilroberta model, 16. Peace & justice, Cybernetics

Access URL: https://doaj.org/article/81998ecdcbb94bc892edb879c4d91392

Exploring Code-Switching Dynamics in Urdu-English Multilingual ChatGPT Models: Patterns, Challenges, and Implications

Authors: Imran Nazeer Jawaria Rehman Muhammad Fasih Uddin Butt

Source: Journal of Policy Research. 10:18-27

Subject Terms: Artificial intelligence, Set (abstract data type), Social media, Identification (biology), Artificial Intelligence, Code-switching, Automated Detection of Hate Speech and Offensive Language, 0501 psychology and cognitive sciences, Biology, Preprocessor, Natural Language Processing, Code (set theory), Topic Modeling, Natural language processing, Physics, 05 social sciences, Botany, Linguistics, 06 humanities and the arts, Acoustics, Computer science, Programming language, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, Natural language, 13. Climate action, 0602 languages and literature, Computer Science, Physical Sciences, 8. Economic growth, FOS: Languages and literature, Language identification, Automatic Text Simplification and Readability Assessment, Consistency (knowledge bases), Dynamics (music)

Social sensing with big data: Detecting hate speech in social media

Authors: Umar Ibrahim Usman Lawal Gulma Ishaq Abdullahi Lawal

Source: International Journal of Science and Research Archive. 11:1146-1152

Subject Terms: 9. Industry and infrastructure, Communication, 4. Education, Social Sciences, Speech recognition, 16. Peace & justice, Voice activity detection, Computer science, FOS: Sociology, Data science, Social media, World Wide Web, Big data, Sociology, Artificial Intelligence, Machine Learning for Internet Traffic Classification, Speech processing, Computer Science, Physical Sciences, 8. Economic growth, Automated Detection of Hate Speech and Offensive Language, Internet privacy, The Impact of Digital Media on Public Discourse, 10. No inequality, Data mining

LLOD schema for Simplified Offensive Language Taxonomy in multilingual detection and applications

Authors: Barbara Lewandowska-Tomaszczyk Anna Bączkowska Olga Dontcheva-Navrátilová et al.

Source: Lodz Papers in Pragmatics. 19:301-324

Subject Terms: annotation, linguistic linked open data, hate speech, 0602 languages and literature, offensive language, 06 humanities and the arts, LLOD, 0101 mathematics, offensive language taxonomy, 01 natural sciences

Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text

Authors: Faiza Mehmood Hina Ghafoor Muhammad Nabeel Asim et al.

Source: Neural Computing and Applications. 36:3077-3100

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Offensive Language, 02 engineering and technology, Speech recognition, Detection and Prevention of Phishing Attacks, Sentiment analysis, Computational Science and Engineering, Artificial Intelligence, F1 score, Machine learning, Automated Detection of Hate Speech and Offensive Language, 0202 electrical engineering, electronic engineering, information engineering, 10. No inequality, Natural Language Processing, Geography, Natural language processing, 4. Education, Discriminative model, Linguistics, German, Computer science, Urdu, FOS: Philosophy, ethics and religion, Detection, Philosophy, Machine Learning for Internet Traffic Classification, Computer Science, Physical Sciences, Bot Detection, FOS: Languages and literature, Benchmark (surveying), Classifier (UML), Geodesy, Information Systems

S1 Appendix - Unveiling the spectrum of Arabic offensive language: Taxonomy and insights

Authors: Chaya Liebeskind Yossef Haim Shrem Marina Litvak et al.

Subject Terms: Ecology, Sociology, Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, online abusive language, one implicit level, natural language processing, including sociocultural studies, exploration allowed us, annotations employed within, simplified offensive language, offensive language instances, classify offensive language, seven distinct levels, novel taxonomy designed, arabic offensive language, insights , gain insights, distinct nature, offensive expressions, %22">xlink ">, thereby informing, taxonomy outlined, streamlined taxonomy, results underscore, refined taxonomy, prior work, paper presents, notable void

Availability: https://doi.org/10.1371/journal.pone.0319900.s001
https://figshare.com/articles/journal_contribution/S1_Appendix_-_Unveiling_the_spectrum_of_Arabic_offensive_language_Taxonomy_and_insights/29344400

Freedom of Speech and Expression in Pakistan

Authors: Javed Rashid Muhammad Sohail Asghar Muhammad Sibtain Qamar et al.

Source: Al-Qamar. :175-194

Subject Terms: Sociology and Political Science, Human Rights, FOS: Political science, International Protection of Minority Rights, Social Sciences, FOS: Law, Speech recognition, Online Harassment, 5. Gender equality, Artificial Intelligence, Freedom of expression, Automated Detection of Hate Speech and Offensive Language, Psychology, Human rights, Minority Rights, 10. No inequality, Political science, Expression (computer science), Human Rights Protection, Communication, 4. Education, 1. No poverty, Linguistics, Global Expansion of National Human Rights Institutions, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, Programming language, FOS: Psychology, Philosophy, Ethnic Minorities, Computer Science, Physical Sciences, Political Science and International Relations, 8. Economic growth, FOS: Languages and literature, Law