Predictive Visual Analytics of Social Media Data for Supporting Real-Time Situational Awareness

LS Snyder - 2020 - search.proquest.com
Real-time social media data can provide useful information on evolving events and
situations. In addition, various domain users are increasingly leveraging real-time social …

City-level geolocation of tweets for real-time visual analytics

LS Snyder, M Karimzadeh, R Chen… - Proceedings of the 3rd …, 2019 - dl.acm.org
Real-time tweets can provide useful information on evolving events and situations.
Geotagged tweets are especially useful, as they indicate the location of origin and provide …

Interactive learning for identifying relevant tweets to support real-time situational awareness

LS Snyder, YS Lin, M Karimzadeh… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Various domain users are increasingly leveraging real-time social media data to gain rapid
situational awareness. However, due to the high noise in the deluge of data, effectively …

[PDF][PDF] Visually contextualizing social media within spatial, temporal and thematic constraints for disaster situation awareness

B Tomaszewski, K Dickens, AA Sawant… - … , dynamics, and scale …, 2014 - geoanalytics.net
Social media such as Twitter is an increasingly important “big data” source for disaster
situation awareness. However, social media often lacks context in terms of relating social …

Socially enhanced situation awareness from microblogs using artificial intelligence: A survey

R Lamsal, A Harwood, MR Read - ACM Computing Surveys, 2022 - dl.acm.org
The rise of social media platforms provides an unbounded, infinitely rich source of
aggregate knowledge of the world around us, both historic and real-time, from a human …

Rapid relevance classification of social media posts in disasters and emergencies: A system and evaluation featuring active, incremental and online learning

MA Kaufhold, M Bayer, C Reuter - Information Processing & Management, 2020 - Elsevier
The research field of crisis informatics examines, amongst others, the potentials and barriers
of social media use during disasters and emergencies. Social media allow emergency …

Is a pretrained model the answer to situational awareness detection on social media?

SL Lo, K Lee, Y Zhang - 2023 - ink.library.smu.edu.sg
Social media can be valuable for extracting information about an event or incident on the
ground. However, the vast amount of content shared, and the linguistic variants of …

GeoAttn: Localization of social media messages via attentional memory network

S Li, C Zhang, D Lei, J Li, J Han - Proceedings of the 2019 SIAM International …, 2019 - SIAM
Recent studies have demonstrated inspiring success in leveraging geo-tagged social media
data for applications such as event detection, location recommendation and mobile …

SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning

L Shang, Y Zhang, C Youn, D Wang - Information Processing & …, 2022 - Elsevier
Social sensing has become an emerging and pervasive sensing paradigm to collect timely
observations of the physical world from human sensors. In this paper, we study the problem …

Social media driven big data analysis for disaster situation awareness: A tutorial

A Pal, J Wang, Y Wu, K Kant, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Situational awareness tries to grasp the important events and circumstances in the physical
world through sensing, communication, and reasoning. Tracking the evolution of changing …