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Rumors are rampant in the era of social media. Conversation structures provide valuable clues to differentiate between real and fake claims. However, existing rumor detection methods are either limited to the strict relation of user…

计算与语言 · 计算机科学 2021-11-16 Hongzhan Lin , Jing Ma , Mingfei Cheng , Zhiwei Yang , Liangliang Chen , Guang Chen

Online social media platforms, such as Twitter, are one of the most valuable sources of information during disaster events. Therefore, humanitarian organizations, government agencies, and volunteers rely on a summary of this information,…

计算与语言 · 计算机科学 2023-05-22 Piyush Kumar Garg , Roshni Chakraborty , Srishti Gupta , Sourav Kumar Dandapat

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…

As the COVID-19 outbreak continues to spread throughout the world, more and more information about the pandemic has been shared publicly on social media. For example, there are a huge number of COVID-19 English Tweets daily on Twitter.…

计算与语言 · 计算机科学 2020-09-01 Anh Tuan Nguyen

Nowadays, false and unverified information on social media sway individuals' perceptions during major geo-political events and threaten the quality of the whole digital information ecosystem. Since the Russian invasion of Ukraine, several…

社会与信息网络 · 计算机科学 2023-03-20 Valerio La Gatta , Chiyu Wei , Luca Luceri , Francesco Pierri , Emilio Ferrara

When people notice something unusual, they discuss it on social media. They leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give…

社会与信息网络 · 计算机科学 2020-08-31 Md Abul Bashar , Richi Nayak , Thirunavukarasu Balasubramaniam

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly. In addition to the textual…

计算机与社会 · 计算机科学 2017-04-11 Dat Tien Nguyen , Firoj Alam , Ferda Ofli , Muhammad Imran

The unprecedented use of social media through smartphones and other web-enabled mobile devices has enabled the rapid adoption of platforms like Twitter. Event detection has found many applications on the web, including breaking news…

社会与信息网络 · 计算机科学 2014-05-07 Shamanth Kumar , Huan Liu , Sameep Mehta , L. Venkata Subramaniam

Emergencies and critical incidents often unfold rapidly, necessitating a swift and effective response. In this research, we introduce a novel approach to identify and classify emergency situations from social media posts and direct…

计算与语言 · 计算机科学 2024-08-02 Hakan T. Otal , M. Abdullah Canbaz

Extensive research on social media usage during emergencies has shown its value to provide life-saving information, if a mechanism is in place to filter and prioritize messages. Existing ranking systems can provide a baseline for selecting…

社会与信息网络 · 计算机科学 2018-09-25 Hemant Purohit , Carlos Castillo , Muhammad Imran , Rahul Pandey

Due to their often unexpected nature, natural and man-made disasters are difficult to monitor and detect for journalists and disaster management response teams. Journalists are increasingly relying on signals from social media to detect…

社会与信息网络 · 计算机科学 2017-09-11 Armineh Nourbakhsh , Quanzhi Li , Xiaomo Liu , Sameena Shah

Automatic summarization of mass-emergency events plays a critical role in disaster management. The second edition of CrisisFACTS aims to advance disaster summarization based on multi-stream fact-finding with a focus on web sources such as…

计算与语言 · 计算机科学 2024-02-15 Philipp Seeberger , Korbinian Riedhammer

Situational awareness is crucial for effective disaster management. However, obtaining information about the actual situation is usually difficult and time-consuming. While there has been some effort in terms of incorporating the affected…

社会与信息网络 · 计算机科学 2013-01-11 Sander Wozniak , Michael Rossberg , Guenter Schaefer

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…

社会与信息网络 · 计算机科学 2022-03-03 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

The spread of false rumours during emergencies can jeopardise the well-being of citizens as they are monitoring the stream of news from social media to stay abreast of the latest updates. In this paper, we describe the methodology we have…

社会与信息网络 · 计算机科学 2015-04-21 Arkaitz Zubiaga , Maria Liakata , Rob Procter , Kalina Bontcheva , Peter Tolmie

While the world has been combating COVID-19 for over three years, an ongoing "Infodemic" due to the spread of fake news regarding the pandemic has also been a global issue. The existence of the fake news impact different aspect of our daily…

机器学习 · 计算机科学 2023-05-26 Chih-Yuan Li , Navya Martin Kollapally , Soon Ae Chun , James Geller

Although social media provides a vibrant platform to discuss real-world events, the quantity of information generated can overwhelm decision making based on that information. By better understanding who is participating in information…

社会与信息网络 · 计算机科学 2018-10-03 Rahul Pandey , Hemant Purohit , Jennifer Chan , Aditya Johri

Twitter has been heavily used as an important channel for communicating and discussing about events in real-time. In such major events, many uninformative tweets are also published rapidly by many users, making it hard to follow the events.…

计算与语言 · 计算机科学 2021-01-15 Renato Stoffalette João

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

Identifying informative tweets is an important step when building information extraction systems based on social media. WNUT-2020 Task 2 was organised to recognise informative tweets from noise tweets. In this paper, we present our approach…

计算与语言 · 计算机科学 2020-10-13 Hansi Hettiarachchi , Tharindu Ranasinghe