Accepted Papers - Web4Good Special Track

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang and Sophia Ananiadou

Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking

Sheng-Fang Yang and Cheng-Te Li

Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model

Yifeng Luo, Yupeng Li, Dacheng Wen and Liang Lan

How Contentious Terms About People and Cultures are Used in Linked Open Data

Andrei Nesterov, Laura Hollink and Jacco van Ossenbruggen

ACM Artifact Badge
Human vs ChatGPT: Effect of Data Annotation in Interpretable Crisis-Related Microblog Classification

Thi Huyen Nguyen and Koustav Rudra

Triage of Messages and Conversations in a Large-Scale Child Victimization Corpus

Prasanna Lakkur Subramanyam, Mohit Iyyer and Brian Levine

Contrastive Learning for Multimodal Classification of Crisis related Tweets

Bishwas Mandal, Sarthak Khanal and Doina Caragea

Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform

Nian Li, Yunzhu Pan, Chen Gao, Depeng Jin and Qingmin Liao

Modularized Networks for Few-shot Hateful Meme Detection

Rui Cao, Roy Ka-Wei Lee and Jing Jiang

CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection

Junhui Ji, Lin Xuanrui and Usman Naseem

Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand

Bowen Chen, Gill Dobbie, Neelesh Rampal and Yun Sing Koh

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems

Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu and Wei Wang

Bayesian Iterative Prediction and Lexical-based Interpretation for Disturbed Chinese Sentence Pair Matching

Muzhe Guo, Muhao Guo, Juntao Su, Junyu Chen, Jiaqian Yu, Jiaqi Wang, Hongfei Du, Parmanand Sahu, Ashwin Assysh Sharma and Fang Jin

SceneDAPR: A Scene-Level Free-Hand Drawing Dataset for Web-based Psychological Drawing Assessment

Jiwon Kang, Jiwon Kim, Migyeong Yang, Chaehee Park, Taeeun Kim, Hayeon Song and Jinyoung Han

ACM Artifact Badge
MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation

Han Wang and Roy Ka-Wei Lee

ACM Artifact Badge
MMAdapt: A Knowledge-Guided Multi-Source Multi-Class Domain Adaptive Framework for Early Health Misinformation Detection

Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei and Dong Wang

Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response

Md Towhidul Chowdhury, Soumyajit Datta, Naveen Sharma and Ashiqur Khudabukhsh

Susceptibility to Unreliable Information Sources: Swift Adoption with Minimal Exposure

Jinyi Ye, Luca Luceri, Julie Jiang and Emilio Ferrara

Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms

Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, Zhicheng Zhang, Ameesh Kapoor, Sean Hudson, Hong Shen and Fei Fang

Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing

Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin and Yong Li

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph

Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu and Yefeng Zheng

Item-side Fairness of Large Language Model-based Recommendation System

Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng and Xiangnan He

Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation

Nicholas Sukiennik, Chen Gao and Nian Li