DE-FACTIFY 2023
De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection

Table of Contents

• Summary: There were 18 papers submitted for peer-review to this workshop. Out of them, 16 papers were accepted for this volume - 15 regular papers and 1 short paper.

Session 1

• Multi-Modal Personalized Hate Speech Analysis using Differential Dataset Cartography
  Jan Kocoń , ZJoanna Baran , Kamil Kanclerz
• Fine-grained Czech News Article Dataset: An Interdisciplinary Approach to Trustworthiness Analysis
  Matyáš Boháček , Michal Bravanský , Filip Trhlík , Václav Moravec

Session 2

• Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes
  Shreyash Mishra , S Suryavardan , Parth Patwa , Megha Chakraborty , Anku Rani , Aishwarya Reganti , Aman Chadha , Amitava Das , Amit Sheth , Manoj Chinnakotla , Asif Ekbal , Srijan Kumar
• Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes
  Shreyash Mishra , S Suryavardan , Megha Chakraborty , Parth Patwa , Anku Rani , Aman Chadha , Aishwarya Reganti , Amitava Das , Amit Sheth , Manoj Chinnakotla , Asif Ekbal , Srijan Kumar
• wentaorub at Memotion 3: Ensemble learning for Multi-modal MEME classification (short paper)
  Wentao Yu , Dorothea Kolossa
• NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis
  Yu-Chien Tang , Kuang-Da Wang , Ting-Yun Ou , Wen-Chih Peng
• NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis
  Xiaoyu Guo , Jing Ma , Arkaitz Zubiaga

Session 3

• Factify 2: A multimodal fake news and satire news dataset
  S Suryavardan , Shreyash Mishra , Parth Patwa , Megha Chakraborty , Anku Rani , Aishwarya Reganti , Aman Chadha , Amitava Das , Amit Sheth , Manoj Chinnakotla , Asif Ekbal , Srijan Kumar
• Findings of factify 2: multimodal fake news detection
  S Suryavardan , Shreyash Mishra , Megha Chakraborty , Parth Patwa , Anku Rani , Aman Chadha , Aishwarya Reganti , Amitava Das , Amit Sheth , Manoj Chinnakotla , Asif Ekbal , Srijan Kumar
• Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification
  Wei-Wei Du , Hong-Wei Wu , Wei-Yao Wang , Wen-Chih Peng
• INO at Factify 2: Structure Coherence based Multi-Modal Fact Verification
  Yinuo Zhang , Zhulin Tao , Xi Wang , Tongyue Wang
• Team Noir at Factify 2: Multimodal Fake News Detection with Pre-trained CLIP and Fusion Network
  Zhongjian Zhang , Huabin Yang , Chenghao Huang , Yanru Zhang
• Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture
  Pim Jordi Verschuuren , Jie Gao , Adelize van Eeden , Stylianos Oikonomou , Anil Bandhakavi
• Team Zhang at Factify 2: Unimodal Feature-enhanced and Cross-modal Correlation learning for Multi-Modal Fact Verification
  Fanrui Zhang , Qiang Zhang , Jiawei Liu , Esther Sun
• Team coco at Factify 2: Optimizing Modality Representation and Multimodal Fusion for Multimodal Fact Verification
  Kangshuai Guo , Shichao Luo , Ruipeng Ma , Yan Wang , Yanru Zhang
• Team gzw at Factify 2: Multimodal Attention and Fusion Networks for Multi-Modal Fact Verification
  Zhenwei Gao , Tong Chen , Zheng Wang