| Vol-3555 urn:nbn:de:0074-3555-7 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

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

### Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, co-located with AAAI 2023

### Washington DC, USA, February 14, 2023.

Edited by

Amitava Das1
Amit Sheth1
Asif Ekbal2
1. AI Institute, University of South Carolina, USA
2. IIT Patna, India

## 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

2023-09-20: submitted by Amitava Das, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-19: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|