Search Results - "Automated Detection of Hate Speech and Offensive Language"

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

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

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

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

Social Media a Concern for Foreign Relationships with Neighbor Countries

Authors: Md. Alomgir Hossan

Source: International Journal of Applied Research and Sustainable Sciences. 1:295-306

Subject Terms: Independence (probability theory), FOS: Political science, FOS: Law, Islam, Sociology, 5. Gender equality, Artificial Intelligence, Automated Detection of Hate Speech and Offensive Language, FOS: Mathematics, 10. No inequality, Ideology, Political science, Biology, Affect (linguistics), Geography, Ecology, Communication, 4. Education, Politics, Statistics, FOS: Sociology, Archaeology, FOS: Biological sciences, Computer Science, Physical Sciences, 8. Economic growth, Cricket, Social Media, Law, Mathematics

Public Opinion Misconduct and Online Gender Violence: Exploring Chinas Social Media Crisis Beneath the Surface

Authors: Yue Huang Yujiao Qin Yixuan Wang

Source: Communications in Humanities Research. 19:54-62

Subject Terms: Public relations, FOS: Political science, Politics, FOS: Law, Nursing, FOS: Health sciences, 16. Peace & justice, Online Harassment, Misconduct, Computer science, FOS: Sociology, Social media, Safeguarding, World Wide Web, Sociology, 5. Gender equality, Artificial Intelligence, Computer Science, Physical Sciences, Automated Detection of Hate Speech and Offensive Language, Medicine, Public opinion, Political science, Law, The Internet

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

Online harassment of journalists in Nigeria: audience motivations and solutions

Authors: Temple Uwalaka A. Amadi Bigman Nwala et al.

Source: Media International Australia. 194:115-130

Subject Terms: Public relations, Face (sociological concept), FOS: Political science, Social Sciences, FOS: Law, Online Harassment, Social psychology, Transparency (behavior), 0508 media and communications, Sociology, 5. Gender equality, Artificial Intelligence, Hostility, Nigerians, Automated Detection of Hate Speech and Offensive Language, Harassment, Psychology, The Impact of Digital Media on Public Discourse, 10. No inequality, Political science, Communication, 4. Education, 05 social sciences, Media Framing and Agenda Setting in Communication, Social science, 16. Peace & justice, FOS: Sociology, 0506 political science, FOS: Psychology, 13. Climate action, Computer Science, Physical Sciences, Law

Classificação da qualidade da argumentação em tweets no domínio da política brasileira

Authors: Cássio Faria da Silva Vânia Paula de Almeida Néris Helena de Medeiros Caseli

Source: Linguamática, Vol 15, Iss 1 (2023)

Subject Terms: tweet, FOS: Computer and information sciences, Discourse Analysis, Literature and Literary Theory, política brasileira, Language and Literature, Social Sciences, P1-1091, FOS: Humanities, avaliação da qualidade da argumentação, Computer science, Discourse Analysis and Literacy Studies, FOS: Philosophy, ethics and religion, Humanities, Philosophy, Artificial Intelligence, Computer Science, Physical Sciences, Automated Detection of Hate Speech and Offensive Language, Arts and Humanities, Philology. Linguistics, BERT, Empirical Studies in Software Engineering, Information Systems

Access URL: https://doaj.org/article/a87d26c1b89f48a0970e050aa102a1c0

Privacy Orientation during Online Teaching-Learning Activities: Practices Adopted and Lessons Learned

Authors: Mônica da Silva José Viterbo Luciana Cardoso de Castro Salgado et al.

Source: Journal on Interactive Systems, Vol 14, Iss 1 (2023)

Subject Terms: Medical education, Computer engineering. Computer hardware, Personal data, Information and Communications Technology, 0211 other engineering and technologies, 02 engineering and technology, Cyberbullying, TK7885-7895, QA76.75-76.765, Context (archaeology), Sociology, Artificial Intelligence, Computer security, Personally identifiable information, Privacy concerns, Automated Detection of Hate Speech and Offensive Language, Psychology, Higher education, Exploratory research, Computer software, 10. No inequality, Biology, 4. Education, 05 social sciences, Paleontology, 16. Peace & justice, Computer science, Process (computing), FOS: Sociology, 3. Good health, FOS: Psychology, World Wide Web, Operating system, Anthropology, Computer Science, Physical Sciences, Internet privacy, Medicine, 0503 education, Institutional communication

Access URL: https://doaj.org/article/f3827cb9d33e4806bc87f077fffa282c

Racism detection by analyzing differential opinions through sentiment analysis using stacked ensemble GCR-NN

Authors: Nithvika Reddy N. S. Manogna Shaga Shivani

Source: International Journal of Science and Research Archive. 9:231-235

Subject Terms: Artificial intelligence, FOS: Political science, Convolutional neural network, FOS: Law, Online Harassment, Presentation (obstetrics), Social psychology, Social media, Racism, 5. Gender equality, Artificial Intelligence, Aspect-based Sentiment Analysis, Automated Detection of Hate Speech and Offensive Language, Psychology, Prejudice (legal term), 10. No inequality, Political science, 4. Education, Flourishing, Deep learning, 16. Peace & justice, Computer science, FOS: Psychology, World Wide Web, Detection, Popularity, Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, 8. Economic growth, Medicine, Radiology, Contempt, Law

Introducing an efficient alternative technique to optional quantitative randomized response models

Authors: Muhammad Waqar Azeem Abdul Salam

Source: Methodology, Vol 19, Iss 1, Pp 24-42 (2023)

Subject Terms: Statistics and Probability, Survey Sampling, Estimation Methods, Digital marketing, FOS: Political science, FOS: Law, Estimator, Quantitative Randomized Response Models, Direct response, 5. Gender equality, Artificial Intelligence, Response time, Respondent, FOS: Mathematics, Automated Detection of Hate Speech and Offensive Language, Psychology, Statistical Methods for Sensitive Survey Questions, 10. No inequality, Political science, Computer graphics (images), Randomized Response Technique, optional randomized response, scrambling variable, sensitive surveys, privacy protection, efficiency, msc 2020: 62d05, Statistics, Computer science, optional randomized response, scrambling variable, sensitive surveys, privacy protection, efficiency, MSC 2020: 62D05, BF1-990, Scrambling, 3. Good health, FOS: Psychology, Algorithm, World Wide Web, MSC 2020: 62F07, Randomized controlled trial, Physical Sciences, Computer Science, Sensitive Questions, Medicine, msc 2020: 62f07, Surgery, Randomized response, Law, Mathematics

Access URL: https://doaj.org/article/885bdbd0b785405d93c8d19d1ff041aa

Identifying Digital Aggression in Information Dissemination on Social Media: A Network Analytical Study

Authors: Imoisili Ojeime Odigie Kenneth Ohis Irenoa Oyinkepreye Sawyerr-George

Source: Information Impact: Journal of Information and Knowledge Management; Vol. 13 No. 2 (2022); 98-112

Subject Terms: Media Use, Sociology and Political Science, Social Networking Analytics, Digital Aggression, Memes, Social Media, Violence, Offensive Language, Social Sciences, Astrophysics, Online Harassment, Social psychology, Cyberbullying, Social media, Artificial Intelligence, Automated Detection of Hate Speech and Offensive Language, Microblogging, Psychology, The Impact of Digital Media on Public Discourse, Communication, Physics, The Spread of Misinformation Online, Linguistics, Terminology, Computer science, FOS: Philosophy, ethics and religion, Aggression, FOS: Psychology, World Wide Web, Philosophy, Computer Science, Physical Sciences, Variation (astronomy), FOS: Languages and literature, Social Media

File Description: application/pdf

Access URL: https://www.ajol.info/index.php/iijikm/article/view/240502

Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages

Authors: Israel Abebe Azime Sana Sabah Al-Azzawi Atnafu Lambebo Tonja et al.

Source: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). :1311-1316

Subject Terms: Artificial intelligence, Computer network, Natural language processing, 4. Education, Resource (disambiguation), Statistical Machine Translation and Natural Language Processing, Computer science, Language Modeling, Systems engineering, Task (project management), Engineering, Artificial Intelligence, Computer Science, Physical Sciences, 8. Economic growth, Automated Detection of Hate Speech and Offensive Language, 10. No inequality, SemEval

ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS)

Authors: Rakib Hossain Rifat Abanti Chakraborty Shruti Marufa Kamal et al.

Source: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). :724-732

Subject Terms: Artificial intelligence, Economics, Test (biology), Set (abstract data type), Online Harassment, Task (project management), 5. Gender equality, Artificial Intelligence, Automated Detection of Hate Speech and Offensive Language, 10. No inequality, Biology, Natural Language Processing, Ecology, Test set, Natural language processing, 4. Education, Competition (biology), Paleontology, Computer science, Management, Programming language, 3. Good health, Detection, FOS: Biological sciences, Computer Science, Physical Sciences, SemEval, Training set

High-quality argumentative information in low resources approaches improve counter-narrative generation

Authors: Damián Ariel Furman Pablo Torres José Rodríguez et al.

Source: Findings of the Association for Computational Linguistics: EMNLP 2023. :2942-2956

Subject Terms: Artificial intelligence, Argumentative, Set (abstract data type), Quantum mechanics, Mathematical analysis, Systems engineering, Task (project management), Narrative, Engineering, Artificial Intelligence, Automated Detection of Hate Speech and Offensive Language, FOS: Mathematics, 10. No inequality, Natural Language Processing, Base (topology), Topic Modeling, Natural language processing, Physics, 4. Education, Linguistics, Statistical Machine Translation and Natural Language Processing, 16. Peace & justice, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, Programming language, Philosophy, Fine-tuning, Computer Science, Physical Sciences, Quality (philosophy), FOS: Languages and literature, Mathematics

Search and Rescue Optimization with Machine Learning Enabled Cybersecurity Model

Authors: Hanan Abdullah Mengash Jaber S. Alzahrani Majdy M. Eltahir et al.

Source: Computer Systems Science and Engineering. 45:1393-1407

Subject Terms: Artificial intelligence, Word embedding, 02 engineering and technology, 7. Clean energy, Cyberbullying, Identification (biology), Engineering, Artificial Intelligence, Machine learning, 11. Sustainability, Automated Detection of Hate Speech and Offensive Language, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Biology, Geography, Botany, Deep learning, 16. Peace & justice, Computer science, Wireless Communication Technologies, Process (computing), Operating system, Machine Learning for Internet Traffic Classification, Categorization, Computer Science, Physical Sciences, Benchmark (surveying), Geodesy, Embedding

HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-information for Multi-level Sexism Classification

Authors: Saminu Mohammad Aliyu Idris Abdulmumin Shamsuddeen Hassan Muhammad et al.

Source: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). :1983-1987

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Computation and Language, Authorship Attribution and User Profiling in Text, Topic Modeling, Economics, Natural language processing, Semantic Similarity, Online Harassment, Computer science, Management, Task (project management), Transfer of learning, Machine Translation, 5. Gender equality, Artificial Intelligence, Computer Science, Physical Sciences, Automated Detection of Hate Speech and Offensive Language, 10. No inequality, Computation and Language (cs.CL), Social Media Analysis, Natural Language Processing, SemEval

Access URL: http://arxiv.org/abs/2305.00076