Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Nanjundan, Preethi; Deokar, Ruchira; Ramakrishnan, Jayabrabu Title A name given to the resource Anti-Semitic Content on Social Media Analyses Using a Hybrid Model Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of the International Conference on Multimedia Information Processing and Retrieval, MIPR;pp.1-6 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/MIPR67560.2025.00008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/MIPR67560.2025.00008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025012240?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025012240?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nanjundan P., Christ University, Department of Data Science, Lavasa, Pune, India; Deokar R., Christ University, Department of Data Science, Lavasa, Pune, India; Ramakrishnan J., College of Engineering and Computer Science, Department of Computer Science, JAZAN University, Saudi Arabia Description An account of the resource In the modern world, people have a variety of channels to freely express their opinions, thoughts, knowledge, and feelings on many topics on social media. However, they abuse this freedom by spewing hate speech based on a person's or group's ethnicity, gender, or religion, caste, sexual orientation, ethnicity, and nationality. Hate speech is the most likely form of expression for hostility and superstition on social media. One of the causes of cyberbullying, which can have an effect on social life on both a national and personal level, is an increase in hate speech. Hateful material has the ability to hurt and an individual and promote social unrest. Social media platforms are unable to monitor every topic that is posted by users, so automated detection of hate speech is a crucial tool. Utilizing machine learning models was first popular. But as the dataset size grows, these models are unable to deliver adequate results. While advanced deep learning models such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Bidirectional Encoder Representations from Transformers (BERT), and similar architectures have demonstrated greater reliability and effectiveness. Toxic speech is a typical thing which is floating around on social media in this fast-paced world where social media is a significant part of our lives and influences the thoughts of many people, where people have access to distribute whatever sort of information they want. Fighting this is difficult because hate speech recognition is now essential in modern society. In order to extract the necessary features and determine if a section of news contains hate speech or not, this article uses a hybrid CNN+LSTM architecture. 2025 IEEE. Subject The topic of the resource CNN; Deep Learning; Hate speech; Hybrid model; LSTM; Machine Learning; NLP; RNN; Social networks Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISSN: 27704327; ISBN: 979-833159465-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online