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Using social media to enhance emergency situation awareness

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TLDR
The described system uses natural language processing and data mining techniques to extract situation awareness information from Twitter messages generated during various disasters and crises.
Abstract
Social media platforms, such as Twitter, offer a rich source of real-time information about real-world events, particularly during mass emergencies. Sifting valuable information from social media provides useful insight into time-critical situations for emergency officers to understand the impact of hazards and act on emergency responses in a timely manner. This work focuses on analyzing Twitter messages generated during natural disasters, and shows how natural language processing and data mining techniques can be utilized to extract situation awareness information from Twitter. We present key relevant approaches that we have investigated including burst detection, tweet filtering and classification, online clustering, and geotagging.

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Quantitative analysis of social media sensitivity to natural disasters

TL;DR: In this article, the sensitivity of social media to different types or magnitudes of natural disasters under various circumstances has been studied and the results demonstrate that Twitter is indeed a social sensor with different sensitivity levels to natural disasters and depending on the event circumstances, a diverse pattern of Twitter behavior should be expected.
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Use of Social Media Data in Disaster Management: A Survey

TL;DR: In this article, a survey of how social media data contribute to disaster management and the methodologies for social media management and analysis in disaster management is provided. But to the best of our knowledge, there is no published literature that identifies the research problems and provides a research taxonomy for the classification of the common research issues.
References
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Proceedings ArticleDOI

Earthquake shakes Twitter users: real-time event detection by social sensors

TL;DR: This paper investigates the real-time interaction of events such as earthquakes in Twitter and proposes an algorithm to monitor tweets and to detect a target event and produces a probabilistic spatiotemporal model for the target event that can find the center and the trajectory of the event location.
Proceedings ArticleDOI

Microblogging during two natural hazards events: what twitter may contribute to situational awareness

TL;DR: Analysis of microblog posts generated during two recent, concurrent emergency events in North America via Twitter, a popular microblogging service, aims to inform next steps for extracting useful, relevant information during emergencies using information extraction (IE) techniques.
Journal ArticleDOI

Bursty and Hierarchical Structure in Streams

TL;DR: The goal of the present work is to develop a formal approach for modeling such “bursts,” in such a way that they can be robustly and efficiently identified, and can provide an organizational framework for analyzing the underlying content.
Proceedings ArticleDOI

You are where you tweet: a content-based approach to geo-locating twitter users

TL;DR: A probabilistic framework for estimating a Twitter user's city-level location based purely on the content of the user's tweets, which can overcome the sparsity of geo-enabled features in these services and enable new location-based personalized information services, the targeting of regional advertisements, and so on.
Proceedings ArticleDOI

Fast and effective text mining using linear-time document clustering

TL;DR: An unsupervised, near-linear time text clustering system that offers a number of algorithm choices for each phase, and a refinement to center adjustment, “vector average damping,” that further improves cluster quality.
Related Papers (5)
Trending Questions (2)
What are the ways in which the media can enhance awareness?

The paper discusses how social media platforms, specifically Twitter, can enhance emergency situation awareness by analyzing Twitter messages during natural disasters using natural language processing and data mining techniques.

How can we increase awareness and accessibility of the local emergency hotline?

The paper discusses how social media platforms like Twitter can be used to enhance emergency situation awareness, but does not specifically address increasing awareness and accessibility of local emergency hotlines.