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Timely and reliable sensing of infrastructure conditions is critical in disaster management for planning effective infrastructure restorations. Social media, a near real-time information source, has been widely used in disasters for forming…

社会与信息网络 · 计算机科学 2021-03-02 Yudi Chen , Angel Umana , Chaowei Yang , Wenying JI

Social media plays a major role during and after major natural disasters (e.g., hurricanes, large-scale fires, etc.), as people ``on the ground'' post useful information on what is actually happening. Given the large amounts of posts, a…

社会与信息网络 · 计算机科学 2020-01-01 Chidubem Arachie , Manas Gaur , Sam Anzaroot , William Groves , Ke Zhang , Alejandro Jaimes

In large-scale emergencies social media has become a key source of information for public awareness, government authorities and relief agencies. However, the sheer volume of data and the low signal-to- noise ratio limit the effectiveness…

社会与信息网络 · 计算机科学 2016-10-10 Wanita Sherchan , Shaila Pervin , Christopher J. Butler , Jennifer C. Lai

Social networks can serve as a valuable communication channel for calls for help, offering assistance, and coordinating rescue activities in disaster. Social networks such as Twitter allow users to continuously update relevant information,…

计算与语言 · 计算机科学 2020-08-25 Long Nguyen , Zhou Yang , Jia Li , Guofeng Cao , Fang Jin

Over the last decade, similar to other application domains, social media content has been proven very effective in disaster informatics. However, due to the unstructured nature of the data, several challenges are associated with disaster…

计算与语言 · 计算机科学 2024-05-03 Ayaz Mehmood , Muhammad Tayyab Zamir , Muhammad Asif Ayub , Nasir Ahmad , Kashif Ahmad

Detecting out-of-context media, such as "mis-captioned" images on Twitter, is a relevant problem, especially in domains of high public significance. In this work we aim to develop defenses against such misinformation for the topics of…

计算机视觉与模式识别 · 计算机科学 2022-05-04 Giscard Biamby , Grace Luo , Trevor Darrell , Anna Rohrbach

Information from social media can provide essential information for emergency response during natural disasters in near real-time. However, it is difficult to identify the disaster-related posts among the large amounts of unstructured data…

计算与语言 · 计算机科学 2024-08-20 David Hanny , Sebastian Schmidt , Bernd Resch

Social media has played a huge part on how people get informed and communicate with one another. It has helped people express their needs due to distress especially during disasters. Because posts made through it are publicly accessible by…

During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about the unfolding event or public policies and guidelines. This…

计算与语言 · 计算机科学 2023-08-17 Tiberiu Sosea , Junyi Jessy Li , Cornelia Caragea

The use of social media as a means of communication has significantly increased over recent years. There is a plethora of information flow over the different topics of discussion, which is widespread across different domains. The ease of…

社会与信息网络 · 计算机科学 2019-11-14 Ganesh Nalluru , Rahul Pandey , Hemant Purohit

Social media is accompanied by an increasing proportion of content that provides fake information or misleading content, known as information disorder. In this paper, we study the problem of multimodal fake news detection on a largescale…

信息检索 · 计算机科学 2021-06-01 Armin Kirchknopf , Djordje Slijepcevic , Matthias Zeppelzauer

Social media has been a powerful tool and an integral part of communication, especially during natural disasters. Social media platforms help nonprofits in effective disaster management by disseminating crucial information to various…

社会与信息网络 · 计算机科学 2022-10-21 Vivek Velivela , Chahat Raj , Muhammad Salman Tiwana , Raj Prasanna , Mahendra Samarawickrama , Mukesh Prasad

Many people use social media to seek information during disasters while lacking access to traditional information sources. In this study, we analyze Twitter data to understand information spreading activities of social media users during…

社会与信息网络 · 计算机科学 2017-06-12 Arif Mohaimin Sadri , Samiul Hasan , Satish V. Ukkusuri , Manuel Cebrian

Extreme weather events driven by climate change, such as wildfires, floods, and heatwaves, prompt significant public reactions on social media platforms. Analyzing the sentiment expressed in these online discussions can offer valuable…

社会与信息网络 · 计算机科学 2025-10-14 Pouya Shaeri , Yasaman Mohammadpour , Alimohammad Beigi , Ariane Middel

Timely classification of humanitarian information from social media is critical for effective disaster response. However, deploying large language models (LLMs) for this task faces challenges in resource-constrained emergency settings. This…

计算与语言 · 计算机科学 2026-02-16 Han Jinzhen , Kim Jisung , Yang Jong Soo , Yun Hong Sik

In times of crisis, identifying the essential needs is a crucial step to providing appropriate resources and services to affected entities. Social media platforms such as Twitter contain vast amount of information about the general public's…

计算与语言 · 计算机科学 2020-12-21 M. Janina Sarol , Ly Dinh , Rezvaneh Rezapour , Chieh-Li Chin , Pingjing Yang , Jana Diesner

People post information about different topics which are in their active vocabulary over social media platforms (like Twitter, Facebook, PInterest and Google+). They follow each other and it is more likely that the person who posts…

社会与信息网络 · 计算机科学 2022-08-30 Muskan Garg

The integration of social media and artificial intelligence (AI) into disaster management, particularly for earthquake response, represents a profound evolution in emergency management practices. In the digital age, real-time information…

计算机与社会 · 计算机科学 2025-01-28 Kalin Kopanov , Velizar Varbanov , Tatiana Atanasova

Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communities during a disaster, and social media offers a potentially…

社会与信息网络 · 计算机科学 2024-01-11 Zihui Ma , Lingyao Li , Libby Hemphill , Gregory B. Baecher , Yubai Yuan

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…

社会与信息网络 · 计算机科学 2025-12-02 Junfeng Wu , Xiangmin Zhou , Erica Kuligowski , Dhirendra Singh , Enrico Ronchi , Max Kinateder