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Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024)

Published: 13 May 2024 Publication History

Abstract

The first international workshop on multimedia content analysis for social good (MM4SG) was held in conjunction with the Web Conference 2024. The workshop aimed to address the challenge of effectively analyzing and moderating multimodal content across digital platforms. In an era where multimodal data including memes, text-embedded images, and fabricated content swiftly capture the public's attention and influence societal discourse, the need for advanced content moderation strategies is more pressing than ever. This workshop serves as a platform for research and collaboration between experts in natural language processing, machine learning, computational social science, and ethics. In this paper, we describe the inaugural edition of the MM4SG workshop. We also include the future directions for our workshop's upcoming editions.

References

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Aashish Bhandari, Siddhant B Shah, Surendrabikram Thapa, Usman Naseem, and Mehwish Nasim. 2023. Crisishatemm: Multimodal analysis of directed and undirected hate speech in text-embedded images from russia-ukraine conflict. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 1993--2002.
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Junhui Ji, Wei Ren, and Usman Naseem. 2023. Identifying creative harmful memes via prompt based approach. In Proceedings of the ACM Web Conference 2023. 3868--3872.
[3]
Roy Ka-Wei Lee, Rui Cao, Ziqing Fan, Jing Jiang, and Wen-Haw Chong. 2021. Disentangling hate in online memes. In Proceedings of the 29th ACM international conference on multimedia. 5138--5147.
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Usman Naseem, Jinman Kim, Matloob Khushi, and Adam G Dunn. 2023. A multimodal framework for the identification of vaccine critical memes on Twitter. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. 706--714.
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Surendrabikram Thapa, Farhan Jafri, Ali Hürriyetoug lu, Francielle Vargas, Roy Ka-Wei Lee, and Usman Naseem. 2023. Multimodal hate speech event detection-shared task 4, case 2023. In Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text. 151--159.
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Surendrabikram Thapa, Kritesh Rauniyar, Farhan Ahmad Jafri, Hariram Veeramani, Raghav Jain, Sandesh Jain, Francielle Vargas, Ali Hürriyetoug lu, and Usman Naseem. 2024. Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024. In Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE).
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Surendrabikram Thapa, Aditya Shah, Farhan Jafri, Usman Naseem, and Imran Razzak. 2022. A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. In Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE). 1--6. io

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cover image ACM Conferences
WWW '24: Companion Proceedings of the ACM Web Conference 2024
May 2024
1928 pages
ISBN:9798400701726
DOI:10.1145/3589335
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2024

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Author Tags

  1. multimodal content generation
  2. multimodal content moderation
  3. multimodal for social good

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  • Introduction

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WWW '24
Sponsor:
WWW '24: The ACM Web Conference 2024
May 13 - 17, 2024
Singapore, Singapore

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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