Vol-3566
urn:nbn:de:0074-3566-4

Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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).

MUWS 2023
Multimodal Human Understanding for the Web and Social Media 2023

Proceedings of the 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media
co-located with the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)

Birmingham, United Kingdom, October 22, 2023.

Edited by

Gullal S. Cheema¹
Sherzod Hakimov²
Marc A. Kastner³
Noa Garcia⁴

¹ L3S Research Center, Leibniz University Hannover, Germany
² University of Potsdam, Germany
³ Kyoto University, Japan
⁴ Osaka University, Japan

Table of Contents

Preface

Session 1: Keynote Speakers

A Semiotic Perspective to Computational Modelling of Multimodal Discourse 1
Tuomo Hiippala

Session 2: Invited Speakers

Multimodal Systems through a Social Lens: Uncovering and Mitigating Biases 2
Dorothy Zhao

Session 2: Long Papers

Exploring the Indian Political YouTube Landscape: A Multimodal Multi-Task Approach 3-17
Adwita Arora, Naman Dhingra, Divya Chaudhary, Ian Gorton, Bijendra Kumar

FLYPE: Multitask Prompt Tuning for Multimodal Human Understanding of Social Media 18-33
Bohua Peng, Chengfu Wu, Wei He, William Thorne, Aline Villavicencio, Yujin Wang, Aline Paes

Towards Fairness in Multimodal Scene Graph Generation: Mitigating Biases in Datasets, Knowledge Sources and Models 34-46
M. Jaleed Khan, John G. Breslin, Edward Curry

Towards Subject Agnostic Affective Emotion Recognition 47-61
Amit Kumar Jaiswal, Haiming Liu, Prayag Tiwari

2023-10-22: submitted by Sherzod Hakimov, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|