Third International Workshop on Multimodal Content Analysis for Social Good

The third edition of the International Workshop on Multimedia Content Analysis for Social Good (MM4SG 2025) was held alongside the prestigious Web Conference 2025. This workshop aimed to tackle the critical challenge of analyzing and moderating multimodal content across digital platforms. In today's era, where diverse forms of multimodal data-including memes, text-embedded images, and fabricated content-can rapidly shape public opinion and influence societal narratives, the demand for sophisticated and ethical content moderation strategies has become increasingly urgent. MM4SG 2025 provided a unique forum for interdisciplinary collaboration, bringing together researchers and practitioners from natural language processing, machine learning, computational social science, and ethics to address these pressing concerns. This paper highlights the key themes, discussions, and contributions of the third edition of the MM4SG workshop, with a particular focus on the intersection of computational linguistics and multimodal content analysis. It also explores future directions for the workshop, including expanding its scope and impact in subsequent editions.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3718378
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
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article

Third International Workshop on Multimodal Content Analysis for Social Good

Surendrabikram Thapa, Usman Naseem, Mehwish Nasim, Roy Ka-Wei Lee
Sentiment Analysis and Opinion Mining
article

Third International Workshop on Multimodal Content Analysis for Social Good

Surendrabikram Thapa, Usman Naseem, Mehwish Nasim, Roy Ka-Wei Lee
article en

Abstract

The third edition of the International Workshop on Multimedia Content Analysis for Social Good (MM4SG 2025) was held alongside the prestigious Web Conference 2025. This workshop aimed to tackle the critical challenge of analyzing and moderating multimodal content across digital platforms. In today's era, where diverse forms of multimodal data-including memes, text-embedded images, and fabricated content-can rapidly shape public opinion and influence societal narratives, the demand for sophisticated and ethical content moderation strategies has become increasingly urgent. MM4SG 2025 provided a unique forum for interdisciplinary collaboration, bringing together researchers and practitioners from natural language processing, machine learning, computational social science, and ethics to address these pressing concerns. This paper highlights the key themes, discussions, and contributions of the third edition of the MM4SG workshop, with a particular focus on the intersection of computational linguistics and multimodal content analysis. It also explores future directions for the workshop, including expanding its scope and impact in subsequent editions.

Singapore University of Technology and Design (SG), Flinders University (AU), The University of Western Australia (AU), Virginia Tech (US), Macquarie University (AU)
Openalex Percentile: Top 95%
Sentiment Analysis and Opinion Mining
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Third International Workshop on Multimodal Content Analysis for Social Good — Surendrabikram Thapa, Usman Naseem, et al. · (2025) | TGRS Research Map | TGRS