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Related papers: On Identifying Hashtags in Disaster Twitter Data

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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…

Social and Information Networks · Computer Science 2020-01-01 Chidubem Arachie , Manas Gaur , Sam Anzaroot , William Groves , Ke Zhang , Alejandro Jaimes

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

Social media has become an important tool to share information about crisis events such as natural disasters and mass attacks. Detecting actionable posts that contain useful information requires rapid analysis of huge volume of data in…

Computation and Language · Computer Science 2020-11-03 Evangelia Spiliopoulou , Salvador Medina Maza , Eduard Hovy , Alexander Hauptmann

Rapid crisis response requires real-time analysis of messages. After a disaster happens, volunteers attempt to classify tweets to determine needs, e.g., supplies, infrastructure damage, etc. Given labeled data, supervised machine learning…

Computation and Language · Computer Science 2016-03-30 Muhammad Imran , Prasenjit Mitra , Jaideep Srivastava

Social media sources can provide crucial information in crisis situations, but discovering relevant messages is not trivial. Methods have so far focused on universal detection models for all kinds of crises or for certain crisis types (e.g.…

Machine Learning · Computer Science 2019-10-08 Anna Kruspe

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

Twitter is one of the most popular microblogging services in the world. The great amount of information within Twitter makes it an important information channel for people to learn and share news. Twitter hashtag is an popular feature that…

Social and Information Networks · Computer Science 2018-05-01 Shih-Feng Yang , Julia Taylor Rayz

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

The huge amount of information shared in Twitter during disaster events are utilized by government agencies and humanitarian organizations to ensure quick crisis response and provide situational updates. However, the huge number of tweets…

Social and Information Networks · Computer Science 2022-03-03 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

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…

Computation and Language · Computer Science 2024-05-03 Ayaz Mehmood , Muhammad Tayyab Zamir , Muhammad Asif Ayub , Nasir Ahmad , Kashif Ahmad

Disaster analysis in social media content is one of the interesting research domains having abundance of data. However, there is a lack of labeled data that can be used to train machine learning models for disaster analysis applications.…

Computer Vision and Pattern Recognition · Computer Science 2019-09-30 Naina Said , Kashif Ahmad , Nicola Conci , Ala Al-Fuqaha

Streaming social media provides a real-time glimpse of extreme weather impacts. However, the volume of streaming data makes mining information a challenge for emergency managers, policy makers, and disciplinary scientists. Here we explore…

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 a disaster event, two types of information that are especially useful for coordinating relief operations are needs and availabilities of resources (e.g., food, water, medicines) in the affected region. Information posted on…

Social and Information Networks · Computer Science 2020-07-21 Ritam Dutt , Moumita Basu , Kripabandhu Ghosh , Saptarshi Ghosh

Research shows that exposure to suicide-related news media content is associated with suicide rates, with some content characteristics likely having harmful and others potentially protective effects. Although good evidence exists for a few…

Computation and Language · Computer Science 2022-06-29 Hannah Metzler , Hubert Baginski , Thomas Niederkrotenthaler , David Garcia

Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can considerably enhance disaster management. In this paper, we…

Social and Information Networks · Computer Science 2023-01-31 Elena-Simona Apostol , Ciprian-Octavian Truică , Adrian Paschke

Social media is often utilized as a lifeline for communication during natural disasters. Traditionally, natural disaster tweets are filtered from the Twitter stream using the name of the natural disaster and the filtered tweets are sent for…

Computation and Language · Computer Science 2022-07-12 Ramya Tekumalla , Juan M. Banda

Twitter is a popular social network platform where users can interact and post texts of up to 280 characters called tweets. Hashtags, hyperlinked words in tweets, have increasingly become crucial for tweet retrieval and search. Using…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-29 Vibhuti Gupta , Rattikorn Hewett

Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the…

Social and Information Networks · Computer Science 2015-08-17 Anusha A. , Sanjay Singh

The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to coarsely distributed sensors or sensor failures. At the same time, a plethora of information is buried in an abundance of images of…

Computer Vision and Pattern Recognition · Computer Science 2020-11-12 Björn Barz , Kai Schröter , Ann-Christin Kra , Joachim Denzler