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Twitter has acted as an important source of information during disasters and pandemic, especially during the times of COVID-19. In this paper, we describe our system entry for WNUT 2020 Shared Task-3. The task was aimed at automating the…

Computation and Language · Computer Science 2020-12-21 Ayush Kaushal , Tejas Vaidhya

In a disaster situation, first responders need to quickly acquire situational awareness and prioritize response based on the need, resources available and impact. Can they do this based on digital media such as Twitter alone, or newswire…

Information Retrieval · Computer Science 2019-06-26 Rakesh Verma , Samaneh Karimi , Daniel Lee , Omprakash Gnawali , Azadeh Shakery

Twitter is recently being used during crises to communicate with officials and provide rescue and relief operation in real time. The geographical location information of the event, as well as users, are vitally important in such scenarios.…

Machine Learning · Computer Science 2019-01-25 Abhinav Kumar , Jyoti Prakash Singh

During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical limitations in labeling datasets of an ongoing crisis. In this paper, we hypothesize…

Computation and Language · Computer Science 2020-10-22 Jitin Krishnan , Hemant Purohit , Huzefa Rangwala

Images shared on social media help crisis managers gain situational awareness and assess incurred damages, among other response tasks. As the volume and velocity of such content are typically high, real-time image classification has become…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Firoj Alam , Tanvirul Alam , Muhammad Imran , Ferda Ofli

News creation and consumption has been changing since the advent of social media. An estimated 2.95 billion people in 2019 used social media worldwide. The widespread of the Coronavirus COVID-19 resulted with a tsunami of social media. Most…

Social and Information Networks · Computer Science 2020-10-20 Azzam Mourad , Ali Srour , Haidar Harmanani , Cathia Jenainatiy , Mohamad Arafeh

Recently, COVID-19 has affected a variety of real-life aspects of the world and led to dreadful consequences. More and more tweets about COVID-19 has been shared publicly on Twitter. However, the plurality of those Tweets are uninformative,…

Computation and Language · Computer Science 2020-11-16 Khiem Vinh Tran , Hao Phu Phan , Kiet Van Nguyen , Ngan Luu-Thuy Nguyen

During sudden onset crisis events, the presence of spam, rumors and fake content on Twitter reduces the value of information contained on its messages (or "tweets"). A possible solution to this problem is to use machine learning to…

Cryptography and Security · Computer Science 2015-02-02 Aditi Gupta , Ponnurangam Kumaraguru , Carlos Castillo , Patrick Meier

Social media has become an integral part of our daily lives. During time-critical events, the public shares a variety of posts on social media including reports for resource needs, damages, and help offerings for the affected community.…

Social and Information Networks · Computer Science 2019-11-04 Ganesh Nalluru , Rahul Pandey , Hemant Purohit

Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace. Presenting a trustworthy and summarized account of the unfolding event in near real-time to the consumers of…

Twitter stream has become a large source of information for many people, but the magnitude of tweets and the noisy nature of its content have made harvesting the knowledge from Twitter a challenging task for researchers for a long time.…

Computation and Language · Computer Science 2018-06-21 Øystein Repp , Heri Ramampiaro

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

Social media analysis of disaster events is a critical task in crisis informatics research. It involves analyzing social media data generated during natural disasters, crisis events, or other mass convergence events. Due to the large data…

Software Engineering · Computer Science 2020-07-09 Gerard Casas Saez

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management. To meet these time-critical needs, we present a weakly…

Computation and Language · Computer Science 2020-10-06 Wenlin Yao , Cheng Zhang , Shiva Saravanan , Ruihong Huang , Ali Mostafavi

Social media services such as Twitter are a valuable source of information for decision support systems. Many studies have shown that this also holds for the medical domain, where Twitter is considered a viable tool for public health…

During time-critical situations such as natural disasters, rapid classification of data posted on social networks by affected people is useful for humanitarian organizations to gain situational awareness and to plan response efforts.…

Computers and Society · Computer Science 2018-05-17 Firoj Alam , Shafiq Joty , Muhammad Imran

COVID-19 pandemic has generated what public health officials called an infodemic of misinformation. As social distancing and stay-at-home orders came into effect, many turned to social media for socializing. This increase in social media…

Social and Information Networks · Computer Science 2021-06-15 Mir Mehedi A. Pritom , Rosana Montanez Rodriguez , Asad Ali Khan , Sebastian A. Nugroho , Esra'a Alrashydah , Beatrice N. Ruiz , Anthony Rios

While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this…

Social and Information Networks · Computer Science 2016-11-22 Georgios Giasemidis , Colin Singleton , Ioannis Agrafiotis , Jason R. C. Nurse , Alan Pilgrim , Chris Willis , Danica Vukadinovic Greetham

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

One of the most significant issues as attended a lot in recent years is that of recognizing the sentiments and emotions in social media texts. The analysis of sentiments and emotions is intended to recognize the conceptual information such…

Machine Learning · Computer Science 2025-03-27 Bahareh Golchin , Noushin Riahi