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Related papers: Finding Eyewitness Tweets During Crises

200 papers

The explosion in the availability of natural language data in the era of social media has given rise to a host of applications such as sentiment analysis and opinion mining. Simultaneously, the growing availability of precise geolocation…

Computation and Language · Computer Science 2021-08-03 Olga Kellert , Nicholas H. Matlis

Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both…

Social and Information Networks · Computer Science 2019-01-23 Chittayong Surakitbanharn , Calvin Yau , Guizhen Wang , Aniesh Chawla , Yinuo Pan , Zhaoya Sun , Sam Yellin , David Ebert , Yung-Hsiang Lu , George K. Thiruvathukal

Information from social media can provide essential information for emergency response during natural disasters in near real-time. However, it is difficult to identify the disaster-related posts among the large amounts of unstructured data…

Computation and Language · Computer Science 2024-08-20 David Hanny , Sebastian Schmidt , Bernd Resch

Geo-tagged tweets can potentially help with sensing the interaction of people with their surrounding environment. Based on this hypothesis, this paper makes use of geotagged tweets in order to ascertain various land uses with a broader goal…

Numerical Analysis · Mathematics 2021-01-12 Saeed Khan , Md Shahzamal

For many European countries, in 2015 the refugee situation developed from a remote tragedy reported upon in the news to a situation they have to deal with in their own neighborhood. Driven by this observation, we investigated the…

Social and Information Networks · Computer Science 2016-10-10 Asmelash Teka Hadgu , Kaweh Djafari Naini , Claudia Niederée

Social media users share billions of items per year, only a small fraction of which is geotagged. We present a data- driven approach for identifying non-geotagged content items that can be associated with a hyper-local geographic area by…

Information Retrieval · Computer Science 2015-02-03 David Flatow , Mor Naaman , Ke Eddie Xie , Yana Volkovich , Yaron Kanza

The first objective towards the effective use of microblogging services such as Twitter for situational awareness during the emerging disasters is discovery of the disaster-related postings. Given the wide range of possible disasters, using…

Computation and Language · Computer Science 2016-10-13 Shanshan Zhang , Slobodan Vucetic

Due to instant availability of data on social media platforms like Twitter, and advances in machine learning and data management technology, real-time crisis informatics has emerged as a prolific research area in the last decade. Although…

Information Retrieval · Computer Science 2018-01-19 Mayank Kejriwal , Yao Gu

Given the centrality of regions in social movements, politics and public administration we aim to quantitatively study inter- and intra-regional communication for the first time. This work uses social media posts to first identify…

Social and Information Networks · Computer Science 2018-07-12 Rudy Arthur , Hywel T. P. Williams

Social media like Twitter provide a common platform to share and communicate personal experiences with other people. People often post their life experiences, local news, and events on social media to inform others. Many rescue agencies…

Computation and Language · Computer Science 2021-08-25 Ashis Kumar Chanda

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

Traditional post-disaster assessment of damage heavily relies on expensive GIS data, especially remote sensing image data. In recent years, social media has become a rich source of disaster information that may be useful in assessing damage…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Xukun Li , Huaiyu Zhang , Doina Caragea , Muhammad Imran

The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on…

Computation and Language · Computer Science 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

In addition to posting news and status updates, many Twitter users post questions that seek various types of subjective and objective information. These questions are often labeled with "Q&A" hashtags, such as #lazyweb or #twoogle. We…

Social and Information Networks · Computer Science 2015-07-07 Jeffrey M. Rzeszotarski , Emma S. Spiro , Jorge Nathan Matias , Andrés Monroy-Hernández , Meredith Ringel Morris

The increasing prevalence of location-sharing features on social media has enabled researchers to ground computational social science research using geolocated data, affording opportunities to study human mobility, the impact of real-world…

Social and Information Networks · Computer Science 2023-02-15 Julie Jiang , Jesse Thomason , Francesco Barbieri , Emilio Ferrara

This paper investigates bias in coverage between Western and Arab media on Twitter after the November 2015 Beirut and Paris terror attacks. Using two Twitter datasets covering each attack, we investigate how Western and Arab media differed…

Social and Information Networks · Computer Science 2018-03-16 Abdallah El Ali , Tim C Stratmann , Souneil Park , Johannes Schöning , Wilko Heuten , Susanne CJ Boll

Social media data has been increasingly used to facilitate situational awareness during events and emergencies such as natural disasters. While researchers have investigated several methods to summarize, visualize or mine the data for…

Social and Information Networks · Computer Science 2019-09-17 Luke S. Snyder , Morteza Karimzadeh , Christina Stober , David S. Ebert

Geographically annotated social media is extremely valuable for modern information retrieval. However, when researchers can only access publicly-visible data, one quickly finds that social media users rarely publish location information. In…

Social and Information Networks · Computer Science 2015-03-05 Ryan Compton , David Jurgens , David Allen

In this paper, we present the first results of our ongoing early-stage research on a realtime disaster detection and monitoring tool. Based on Wikipedia, it is language-agnostic and leverages user-generated multimedia content shared on…

Social and Information Networks · Computer Science 2015-01-27 Thomas Steiner , Ruben Verborgh

Events detected from social media streams often include early signs of accidents, crimes or disasters. Therefore, they can be used by related parties for timely and efficient response. Although significant progress has been made on event…

Social and Information Networks · Computer Science 2020-02-12 Yi Han , Shanika Karunasekera , Christopher Leckie