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Media organisations are essential communication stakeholders in social media disaster communication during extreme events. They perform gatekeeper and amplification roles which are crucial for collective sense-making processes. In that…

Social and Information Networks · Computer Science 2020-04-21 Julian Marx , Milad Mirbabaie , Christian Ehnis

In many Twitter studies, it is important to know where a tweet came from in order to use the tweet content to study regional user behavior. However, researchers using Twitter to understand user behavior often lack sufficient geo-tagged…

Social and Information Networks · Computer Science 2017-11-21 Binxuan Huang , Kathleen M. Carley

This paper presents our research on leveraging social media Big Data and AI to support hurricane disaster emergency response. The current practice of hurricane emergency response for rescue highly relies on emergency call centres. The more…

Artificial Intelligence · Computer Science 2021-06-15 Jingwei Huang , Wael Khallouli , Ghaith Rabadi , Mamadou Seck

Citizens are actively interacting with their surroundings, especially through social media. Not only do shared posts give important information about what is happening (from the users' perspective), but also the metadata linked to these…

Social and Information Networks · Computer Science 2023-12-19 Héctor Cerezo-Costas , Ana Fernández Vilas , Manuela Martín-Vicente , Rebeca P. Díaz-Redondo

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…

Computation and Language · Computer Science 2021-08-22 Ocean M. Barba , Franz Arvin T. Calbay , Angelica Jane S. Francisco , Angel Luis D. Santos , Charmaine S. Ponay

In recent years, social media has been widely explored as a potential source of communication and information in disasters and emergency situations. Several interesting works and case studies of disaster analytics exploring different…

Computation and Language · Computer Science 2023-01-03 Wisal Mukhtiar , Waliiya Rizwan , Aneela Habib , Yasir Saleem Afridi , Laiq Hasan , Kashif Ahmad

Social networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large volume, social media content is often too noisy for direct use…

Computation and Language · Computer Science 2021-04-09 Firoj Alam , Umair Qazi , Muhammad Imran , Ferda Ofli

Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for…

Social and Information Networks · Computer Science 2018-07-17 Xin Zheng , Jialong Han , Aixin Sun

Social media has become a critical source of situational awareness during disasters, providing real-time insights into evolving impacts and emerging needs. To support crisis response at scale, recent work has increasingly leveraged large…

Computers and Society · Computer Science 2026-05-05 Timothy Douglas , Roben Delos Reyes , Asanobu Kitamoto

Risk communication in times of disasters is complex, involving rapid and diverse communication in social networks (i.e., public and/or private agencies; local residents) as well as limited mobilization capacity and operational constraints…

Social and Information Networks · Computer Science 2022-12-19 H M Imran Kays , Khondhaker Al Momin , Menziwokuhle Bandise Thwala , K. K. "Muralee" Muraleetharan , Arif Mohaimin Sadri

As the COVID-19 pandemic swept over the world, people discussed facts, expressed opinions, and shared sentiments on social media. Since the reaction to COVID-19 in different locations may be tied to local cases, government regulations,…

Social and Information Networks · Computer Science 2022-01-07 Yunhe Feng , Wenjun Zhou

Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and…

Social and Information Networks · Computer Science 2019-03-06 Meredith T. Niles , Benjamin F. Emery , Andrew J. Reagan , Peter Sheridan Dodds , Christopher M. Danforth

The geolocation of online information is an essential component in any geospatial application. While most of the previous work on geolocation has focused on Twitter, in this paper we quantify and compare the performance of text-based…

Computation and Language · Computer Science 2018-11-20 Konstantinos Pappas , Mahmoud Azab , Rada Mihalcea

Real-time urban climate monitoring provides useful information that can be utilized to help monitor and adapt to extreme events, including urban heatwaves. Typical approaches to the monitoring of climate data include weather station…

Applications · Statistics 2015-09-18 Yoshiki Yamagata , Daisuke Murakami , Gareth W. Peters , Tomoko Matsui

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…

Social and Information Networks · Computer Science 2016-10-10 Wanita Sherchan , Shaila Pervin , Christopher J. Butler , Jennifer C. Lai

In contrast to much previous work that has focused on location classification of tweets restricted to a specific country, here we undertake the task in a broader context by classifying global tweets at the country level, which is so far…

Information Retrieval · Computer Science 2017-04-26 Arkaitz Zubiaga , Alex Voss , Rob Procter , Maria Liakata , Bo Wang , Adam Tsakalidis

This paper presents our solutions for the MediaEval 2022 task on DisasterMM. The task is composed of two subtasks, namely (i) Relevance Classification of Twitter Posts (RCTP), and (ii) Location Extraction from Twitter Texts (LETT). The RCTP…

Computation and Language · Computer Science 2023-01-03 Muhammad Suleman , Muhammad Asif , Tayyab Zamir , Ayaz Mehmood , Jebran Khan , Nasir Ahmad , Kashif Ahmad

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…

Social and Information Networks · Computer Science 2025-10-14 Pouya Shaeri , Yasaman Mohammadpour , Alimohammad Beigi , Ariane Middel

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…

Social and Information Networks · Computer Science 2022-08-30 Muskan Garg

With the development of the Internet, social media has become an important channel for posting disaster-related information. Analyzing attitudes hidden in these texts, known as sentiment analysis, is crucial for the government or relief…

Social and Information Networks · Computer Science 2020-05-29 Lingyu Meng , Zhijie Sasha Dong
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