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Semi-supervised learning approaches have been investigated as a means to enhance the analysis of social media data in disaster management contexts. In this work, we present the first empirical evaluation of large language model (LLM) guided…

Artificial Intelligence · Computer Science 2026-05-12 Jacob Ativo , Bharaneeshwar Balasubramaniyam , Anh Tran , Khushboo Gupta , Hongmin Li , Doina Caragea , Cornelia Caragea

An important aspect of urban planning is understanding crowd levels at various locations, which typically require the use of physical sensors. Such sensors are potentially costly and time consuming to implement on a large scale. To address…

Social and Information Networks · Computer Science 2020-12-08 Jerome Heng , Junhua Liu , Kwan Hui Lim

Social media platforms have become a hub for political activities and discussions, democratizing participation in these endeavors. However, they have also become an incubator for manipulation campaigns, like information operations (IOs).…

Computers and Society · Computer Science 2024-11-21 Ozgur Can Seckin , Manita Pote , Alexander Nwala , Lake Yin , Luca Luceri , Alessandro Flammini , Filippo Menczer

Online social media works as a source of various valuable and actionable information during disasters. These information might be available in multiple languages due to the nature of user generated content. An effective system to…

Computation and Language · Computer Science 2022-03-08 Samujjwal Ghosh , Subhadeep Maji , Maunendra Sankar Desarkar

Traditional data sources on bushfire evacuation behaviour, such as quantitative surveys and manual observations have severe limitations. Mining social media data related to bushfire evacuations promises to close this gap by allowing the…

Social and Information Networks · Computer Science 2025-12-02 Junfeng Wu , Xiangmin Zhou , Erica Kuligowski , Dhirendra Singh , Enrico Ronchi , Max Kinateder

Social media aids disaster response but suffers from noise, hindering accurate impact assessment and decision making for resilient cities, which few studies considered. To address the problem, this study proposes the first domain-specific…

Computation and Language · Computer Science 2024-06-03 Jin Han , Zhe Zheng , Xin-Zheng Lu , Ke-Yin Chen , Jia-Rui Lin

The widespread use of microblogging platforms like X (formerly Twitter) during disasters provides real-time information to governments and response authorities. However, the data from these platforms is often noisy, requiring automated…

Computation and Language · Computer Science 2024-12-17 Muhammad Imran , Abdul Wahab Ziaullah , Kai Chen , Ferda Ofli

Social media plays a significant role in cross-cultural communication. A vast amount of this occurs in code-mixed and multilingual form, posing a significant challenge to Natural Language Processing (NLP) tools for processing such…

Computation and Language · Computer Science 2026-01-21 Dwip Dalal , Vivek Srivastava , Mayank Singh

The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new opportunities and challenges in sentiment analysis. While…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Syed Zohaib Hassan , Kashif Ahmad , Steven Hicks , Paal Halvorsen , Ala Al-Fuqaha , Nicola Conci , Michael Riegler

Quality humanitarian information is essential for efficient, effective and coordinated humanitarian responses. During crises, however, humanitarian responders rarely have access to quality information in order to provide the much-needed…

Computers and Society · Computer Science 2020-08-13 Yilin Huang , Christophe Billen

Psychological support hotlines serve as critical lifelines for crisis intervention but encounter significant challenges due to rising demand and limited resources. Large language models (LLMs) offer potential support in crisis assessments,…

Computation and Language · Computer Science 2025-12-19 Guifeng Deng , Shuyin Rao , Tianyu Lin , Anlu Dai , Pan Wang , Junyi Xie , Haidong Song , Ke Zhao , Dongwu Xu , Zhengdong Cheng , Tao Li , Haiteng Jiang

Social media has emerged as a valuable resource for disaster management, revolutionizing the way emergency response and recovery efforts are conducted during natural disasters. This review paper aims to provide a comprehensive analysis of…

Social and Information Networks · Computer Science 2025-06-10 Mohammadsepehr Karimiziarani

Cyberbullying significantly contributes to mental health issues in communities by negatively impacting the psychology of victims. It is a prevalent problem on social media platforms, necessitating effective, real-time detection and…

Computation and Language · Computer Science 2024-12-31 Adamu Gaston Philipo , Doreen Sebastian Sarwatt , Jianguo Ding , Mahmoud Daneshmand , Huansheng Ning

The huge popularity of social media platforms like Twitter attracts a large fraction of users to share real-time information and short situational messages during disasters. A summary of these tweets is required by the government…

Social and Information Networks · Computer Science 2022-11-22 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

Online social media platforms, such as Twitter, are one of the most valuable sources of information during disaster events. Therefore, humanitarian organizations, government agencies, and volunteers rely on a summary of this information,…

Computation and Language · Computer Science 2023-05-22 Piyush Kumar Garg , Roshni Chakraborty , Srishti Gupta , Sourav Kumar Dandapat

Twitter is among the most prevalent social media platform being used by millions of people all over the world. It is used to express ideas and opinions about political, social, business, sports, health, religion, and various other…

Computation and Language · Computer Science 2021-12-07 Khubaib Ahmed Qureshi

This paper describes our participation in the MentalRiskES task at IberLEF 2023. The task involved predicting the likelihood of an individual experiencing depression based on their social media activity. The dataset consisted of…

Countless disasters have resulted from climate change, causing severe damage to infrastructure and the economy. These disasters have significant societal impacts, necessitating mental health services for the millions affected. To prepare…

Information Retrieval · Computer Science 2024-08-22 Thomas Hoang , Quynh Anh Nguyen , Long Nguyen

Online social media platforms, such as Twitter, provide valuable information during disaster events. Existing tweet disaster summarization approaches provide a summary of these events to aid government agencies, humanitarian organizations,…

Computation and Language · Computer Science 2024-05-13 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

Over the past decade humans have experienced exponential growth in the use of online resources, in particular social media and microblogging websites such as Facebook, Twitter, YouTube and also mobile applications such as WhatsApp, Line,…

Information Retrieval · Computer Science 2015-09-09 Rishabh Soni , K. James Mathai