Multimodal Hate Speech Detection in Memes Using Contrastive Language-Image Pre-Training-Reference-Cited by-同舟云学术

Multimodal Hate Speech Detection in Memes Using Contrastive Language-Image Pre-Training

Published:2024 Issue: Volume:12 Page:22359-22375
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Arya Greeshma¹^ORCID,Hasan Mohammad Kamrul²^ORCID,Bagwari Ashish³^ORCID,Safie Nurhizam²,Islam Shayla⁴^ORCID,Ahmed Fatima Rayan Awad⁵,De Aaishani¹^ORCID,Khan Muhammad Attique⁶^ORCID,Ghazal Taher M.⁷^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India

2. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia

3. Department of Electronics and Communication Engineering, Uttarakhand Technical University, Dehradun, India

4. Institute of Computer Science and Digital Innovation, UCSI University Malaysia, Kuala Lumpur, Malaysia

5. Computer Science Department, College of Computer Engineering and Science, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

6. Department of Computer Science, HITEC University, Taxila, Pakistan

7. Computer Science Department, Centre for Cyber Physical Systems, Khalifa University, Abu Dhabi, United Arab Emirates

Funder

Universiti Kebangsaan Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10418458.pdf?arnumber=10418458

Reference35 articles.

1. What is a meme, technically speaking?;Richard;Inf., Commun. Soc.,2023

2. Twitter Hate Speech Detection: A Systematic Review of Methods, Taxonomy Analysis, Challenges, and Opportunities

3. A Deep Learning Approach to Online Social Network Account Compromisation

4. Predicting the Future Popularity of Academic Publications Using Deep Learning by Considering It as Temporal Citation Networks

5. Detection of cyberbullying incidents on the Instagram social network;Hosseinmardi;arXiv:1503.03909,2015

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