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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

Recent pre-trained abstractive summarization systems have started to achieve credible performance, but a major barrier to their use in practice is their propensity to output summaries that are not faithful to the input and that contain…

Computation and Language · Computer Science 2021-04-12 Tanya Goyal , Greg Durrett

We build a novel database of around 285,000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially misleading posts on their dissemination. Employing a difference in…

General Economics · Economics 2024-04-04 Thomas Renault , David Restrepo Amariles , Aurore Troussel

During recent years the online social networks (in particular Twitter) have become an important alternative information channel to traditional media during natural disasters, but the amount and diversity of messages poses the challenge of…

Social and Information Networks · Computer Science 2015-03-20 Alfredo Cobo , Denis Parra , Jaime Navón

During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in computer vision and deep neural networks have enabled the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care. Current ADR surveillance systems are often associated with a substantial time lag before such events are officially published. On the other hand,…

Information Retrieval · Computer Science 2018-02-15 Shashank Gupta , Manish Gupta , Vasudeva Varma , Sachin Pawar , Nitin Ramrakhiyani , Girish K. Palshikar

Twitter has become one of the main sources of news for many people. As real-world events and emergencies unfold, Twitter is abuzz with hundreds of thousands of stories about the events. Some of these stories are harmless, while others could…

Social and Information Networks · Computer Science 2016-06-21 Soroush Vosoughi , Deb Roy

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

Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous actions to reduce overall damage. Despite crisis such as…

Computation and Language · Computer Science 2020-05-19 Junhua Liu , Trisha Singhal , Lucienne T. M. Blessing , Kristin L. Wood , Kwan Hui Lim

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…

Computation and Language · Computer Science 2020-12-21 M. Janina Sarol , Ly Dinh , Rezvaneh Rezapour , Chieh-Li Chin , Pingjing Yang , Jana Diesner

Natural disaster assessment relies on accurate and rapid access to information, with social media emerging as a valuable real-time source. However, existing datasets suffer from class imbalance and limited samples, making effective model…

Computers and Society · Computer Science 2025-11-04 Adrian-Dinu Urse , Dumitru-Clementin Cercel , Florin Pop

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…

Social and Information Networks · Computer Science 2019-11-14 Ganesh Nalluru , Rahul Pandey , Hemant Purohit

The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the affected people. This information is primarily provided…

Social and Information Networks · Computer Science 2017-09-11 Tahora H. Nazer , Guoliang Xue , Yusheng Ji , Huan Liu

Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of a crisis situation, affected people post useful information…

Computation and Language · Computer Science 2016-06-01 Muhammad Imran , Prasenjit Mitra , Carlos Castillo

Catastrophic events create uncertain situations for humanitarian organizations locating and providing aid to affected people. Many people turn to social media during disasters for requesting help and/or providing relief to others. However,…

Computation and Language · Computer Science 2023-03-07 Irfan Ullah , Sharifullah Khan , Muhammad Imran , Young-Koo Lee

Monitoring network traffic data to detect any hidden patterns of anomalies is a challenging and time-consuming task that requires high computing resources. To this end, an appropriate summarization technique is of great importance, where it…

Machine Learning · Computer Science 2021-12-21 Samira Ghodratnama , Mehrdad Zakershahrak , Fariborz Sobhanmanesh

Social media platforms have become new battlegrounds for anti-social elements, with misinformation being the weapon of choice. Fact-checking organizations try to debunk as many claims as possible while staying true to their journalistic…

Computation and Language · Computer Science 2022-09-15 Varad Bhatnagar , Diptesh Kanojia , Kameswari Chebrolu

Automatic text summarization aims to produce a brief but crucial summary for the input documents. Both extractive and abstractive methods have witnessed great success in English datasets in recent years. However, there has been a minimal…

Computation and Language · Computer Science 2021-10-22 Danqing Wang , Jiaze Chen , Xianze Wu , Hao Zhou , Lei Li

Opinion summarization is expected to digest larger review sets and provide summaries from different perspectives. However, most existing solutions are deficient in epitomizing extensive reviews and offering opinion summaries from various…

Computation and Language · Computer Science 2023-10-23 Han Jiang , Rui Wang , Zhihua Wei , Yu Li , Xinpeng Wang

Humanitarian disasters have been on the rise in recent years due to the effects of climate change and socio-political situations such as the refugee crisis. Technology can be used to best mobilize resources such as food and water in the…

Computation and Language · Computer Science 2019-07-17 Mayank Kejriwal , Peilin Zhou
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