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Multimodal Religiously Hateful Social Media Memes Classification Based on Textual and Image Data

https://doi.org/10.1145/3623396
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.2853openalex-snapshot
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UNITER: UNiversal Image-TExt Representation Learning
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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
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A Multimodal Memes Classification: A Survey and Open Research Issues
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inferredcites →https://doi.org/10.1108/jrim-09-2022-0286openalex-snapshot
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inferredcites →https://doi.org/10.1108/oir-08-2020-0333openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2017.670openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-snapshot
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2019.00688openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
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TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093414openalex-snapshot
Exploring Hate Speech Detection in Multimodal Publications
inferredcites →https://doi.org/10.1145/3091478.3091487openalex-snapshot
Mean Birds
inferredcites →https://doi.org/10.1145/3462244.3479949openalex-snapshot
An Interpretable Approach to Hateful Meme Detection
inferredcites →https://doi.org/10.1145/3505244openalex-snapshot
Transformers in Vision: A Survey
inferredcites →https://doi.org/10.1155/2021/5510253openalex-snapshot
Two‐Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification
inferredcites →https://doi.org/10.1155/2022/3183492openalex-snapshot
Optimization of Students’ Performance Prediction through an Iterative Model of Frustration Severity
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
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inferredcites →https://doi.org/10.1371/journal.pone.0274300openalex-snapshot
Multimodal detection of hateful memes by applying a vision-language pre-training model
inferredcites →https://doi.org/10.14742/ajet.6749openalex-snapshot
Sentiment evolution with interaction levels in blended learning environments: Using learning analytics and epistemic network analysis
inferredcites →https://doi.org/10.1504/ijwbc.2020.108626openalex-snapshot
Influencing the influencers: the case of retailers' social shopping platforms
inferredcites →https://doi.org/10.1609/icwsm.v11i1.14955openalex-snapshot
Automated Hate Speech Detection and the Problem of Offensive Language
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.117openalex-snapshot
Evaluating Models’ Local Decision Boundaries via Contrast Sets
inferredcites →https://doi.org/10.18653/v1/d19-1514openalex-snapshot
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
inferredcites →https://doi.org/10.18653/v1/p18-1238openalex-snapshot
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
inferredcites →https://doi.org/10.18653/v1/w16-5618openalex-snapshot
Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter
inferredcites →https://doi.org/10.2139/ssrn.3517916openalex-snapshot
Social Media in the Middle East: 2019 in Review
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3389/fncom.2022.992296openalex-snapshot
An efficient approach for textual data classification using deep learning
inferredcites →https://doi.org/10.3390/app10238614openalex-snapshot
A Deep Learning Approach for Automatic Hate Speech Detection in the Saudi Twittersphere
inferredcites →https://doi.org/10.3390/electronics10111332openalex-snapshot
Social Media Toxicity Classification Using Deep Learning: Real-World Application UK Brexit
inferredcites →https://doi.org/10.3390/electronics12041020openalex-snapshot
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inferredcites →https://doi.org/10.3390/electronics12102320openalex-snapshot
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inferredcites →https://doi.org/10.3390/mti6040028openalex-snapshot
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inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1503.03909openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1504.00325openalex-snapshot
Microsoft COCO Captions: Data Collection and Evaluation Server
inferredcites →https://doi.org/10.48550/arxiv.1908.07490openalex-snapshot
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
inferredcites →https://doi.org/10.48550/arxiv.1908.08530openalex-snapshot
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
inferredcites →https://doi.org/10.48550/arxiv.1909.12434openalex-snapshot
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
inferredcites →https://doi.org/10.48550/arxiv.1910.03771openalex-snapshot
HuggingFace's Transformers: State-of-the-art Natural Language Processing
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2004.08744openalex-snapshot
Are we pretraining it right? Digging deeper into visio-linguistic pretraining
inferredcites →https://doi.org/10.48550/arxiv.2005.04790openalex-snapshot
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2112.04426openalex-snapshot
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inferredcites →https://doi.org/10.5281/zenodo.5014032openalex-snapshot
facebookresearch/AugLy: AugLy v0.1.10
inferredcites →https://doi.org/10.7717/peerj-cs.1400openalex-snapshot
The multi-modal fusion in visual question answering: a review of attention mechanisms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-97629-2_10openalex-snapshot
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
inferred← citeshttps://doi.org/10.1007/978-3-032-14197-2_1openalex-snapshot
Multimodal Hate Content Video Detection in Regional Languages
inferred← citeshttps://doi.org/10.1007/978-981-96-7059-8_8openalex-snapshot
ML-Based Systems for Identifying Hate Memes on Social Media
inferred← citeshttps://doi.org/10.1007/s10115-025-02439-wopenalex-snapshot
DecodEM-X: advancing multimodal meme moderation with robust AI frameworks
inferred← citeshttps://doi.org/10.1007/s42001-025-00432-5openalex-snapshot
Systematic literature review on hate speech detection in Indian low-resource languages
inferred← citeshttps://doi.org/10.1016/j.aej.2024.12.052openalex-snapshot
Intelligent visual question answering in TCM education: An innovative application of IoT and multimodal fusion
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108275openalex-snapshot
Flexible margins and multiple samples learning to enhance lexical semantic similarity
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132507openalex-snapshot
A survey of multimodal hate meme detection
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.104102openalex-snapshot
Internet meme on social media: A comprehensive review and new perspectives
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116126openalex-snapshot
DAMM: Dynamic modality Aware weighted embeddings fusion for Multimodal Meme detection
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108089openalex-snapshot
A vision-language model for multitask classification of memes
inferred← citeshttps://doi.org/10.1051/itmconf/20257804032openalex-snapshot
Application Analysis of Multimodal Models in Hateful Meme Detection
inferred← citeshttps://doi.org/10.1109/access.2024.3505614openalex-snapshot
MemesViTa: A Novel Multimodal Fusion Technique for Troll Memes Identification
inferred← citeshttps://doi.org/10.1109/icad65464.2025.11114043openalex-snapshot
Multimodal Hateful Meme Detection with Graph Attention Networks and Contextual Cues
inferred← citeshttps://doi.org/10.1109/icarc64760.2025.10962881openalex-snapshot
Ensemble Approach for Religious Hate Speech Detection in Text-Based Images on Facebook
inferred← citeshttps://doi.org/10.1142/s0218126625501361openalex-snapshot
A Sentiment Analysis and Semantic Comprehension-Integrated Automatic Abstraction Model for English Texts
inferred← citeshttps://doi.org/10.1145/3657635openalex-snapshot
A Hybrid Deep BiLSTM-CNN for Hate Speech Detection in Multi-social media
inferred← citeshttps://doi.org/10.1145/3696410.3714778openalex-snapshot
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
inferred← citeshttps://doi.org/10.3390/app142412007openalex-snapshot
A Hybrid Deep Learning Approach for Multi-Class Cyberbullying Classification Using Multi-Modal Social Media Data
inferred← citeshttps://doi.org/10.3390/electronics13142780openalex-snapshot
Multimodal Hateful Meme Classification Based on Transfer Learning and a Cross-Mask Mechanism
inferred← citeshttps://doi.org/10.4018/joeuc.336276openalex-snapshot
Enhancing Multimodal Understanding With LIUS
inferred← citeshttps://doi.org/10.48084/etasr.18187openalex-snapshot
ORBIT-CL: A Semantically-Aware and Lightweight Multimodal Transformer for Cyberbullying Detection
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