[HTML][HTML] Socializing in emergencies—A review of the use of social media in emergency situations

T Simon, A Goldberg, B Adini - International journal of information …, 2015 - Elsevier
Social media tools are integrated in most parts of our daily lives, as citizens, netizens,
researchers or emergency responders. Lessons learnt from disasters and emergencies that …

[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities

X Huang, S Wang, M Zhang, T Hu, A Hohl… - International Journal of …, 2022 - Elsevier
Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …

Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review

L Dwarakanath, A Kamsin, RA Rasheed… - Ieee …, 2021 - ieeexplore.ieee.org
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …

Identifying sub-events and summarizing disaster-related information from microblogs

K Rudra, P Goyal, N Ganguly, P Mitra… - The 41st international …, 2018 - dl.acm.org
In recent times, humanitarian organizations increasingly rely on social media to search for
information useful for disaster response. These organizations have varying information …

A graph propagation model with rich event structures for joint event relation extraction

J Zhang, T Chen, S Li, M Zhang, Y Ren… - Information Processing & …, 2024 - Elsevier
The task of event relation extraction (ERE) aims to organize multiple events and their
relations as a directed graph. However, existing ERE methods exhibit two limitations:(1) …

Detecting events in online social networks: Definitions, trends and challenges

N Panagiotou, I Katakis, D Gunopulos - … to Katharina Morik on the Occasion …, 2016 - Springer
Event detection is a research area that attracted attention during the last years due to the
widespread availability of social media data. The problem of event detection has been …

Multimodal analysis of disaster tweets

AK Gautam, L Misra, A Kumar, K Misra… - 2019 IEEE Fifth …, 2019 - ieeexplore.ieee.org
Social media is inevitably the most abundant source of actionable information in times of
natural disasters. Most of the data is either available in the form of text, images or videos …

Bursty event detection in twitter streams

C Comito, A Forestiero, C Pizzuti - ACM Transactions on Knowledge …, 2019 - dl.acm.org
Social media, in recent years, have become an invaluable source of information for both
public and private organizations to enhance the comprehension of people interests and the …

[PDF][PDF] Smartbook: Ai-assisted situation report generation

RG Reddy, YR Fung, Q Zeng, M Li… - arxiv preprint arxiv …, 2023 - blender.cs.illinois.edu
Emerging events, such as the COVID pandemic and the Ukraine Crisis, require a time-
sensitive comprehensive understanding of the situation to allow for appropriate decision …

Efficient temporal mining of micro-blog texts and its application to event discovery

G Stilo, P Velardi - Data Mining and Knowledge Discovery, 2016 - Springer
In this paper we present a novel method for clustering words in micro-blogs, based on the
similarity of the related temporal series. Our technique, named SAX*, uses the Symbolic …