Summary about Social Media Research in Disaster/Emergency Response Systems

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Related Project

SoCS: Social Media Enhanced Organizational Sensemaking in Emergency Response

Keywords: Social Networking, Emergency Response, Content Analysis, Network Analysis, Organizational Sensemaking, Collaborative Decision Making.

PI/PM: Amit Sheth

Co-PIs: Valerie Shalin, John Flach (Department of Psychology, Human Factors/Industrial Organization Graduate Program)

Collaborator and OSU PI: Srinivasan Parthasarthy, Ohio State University

Funding: This research is funded by the National Science Foundation under award IIS-1111182, 09/01/2011 - 08/31/2014.

Students: Hemant Purohit, Andrew Hampton,Yiye Ruan

See also: Twitris: The Social Brain, Semantics driven Analysis of Social Media, Citizen Sensing, Social Signals, and Enriching Human Experience, Computing For Human Experience



Here are the summaries for articles posted in news/blogs about research in Disaster/Emergency Response Systems. We keep updating these summaries, please check out again.

Tweak-the-tweet

This project seeks to build a collaboration network to promote Tweet-friendly hashtag-based syntax to help direct Twitter communications for more efficient data extraction for those communicating about the Haiti earthquake disaster. It modifies tweet pieces dependent on subject to make them more easily machine-parsable. The syntax is constantly evolving. Each tweet counted must have #haiti and only one other key word (need, offering, ruok, trapped, etc.)

Example:

TWEET-BEFORE: Altagrace Pierre needs help at Delmas 14 House no. 14.

TWEET-AFTER: #haiti #name Altagrace Pierre #need help #loc Delmas 14 House no. 14.

Source: http://wiki.crisiscommons.org/wiki/Tweak_the_Tweet

Dated: Oct 1, 2011

Truthy Project

This project focuses on shared traits of information diffusion via social media sites. They hope to offer real-time analysis of data encompassing millions of posts daily. It will model the data stream as “a series of time-stamped events that represent interactions between actors and memes.” Mood tracking methods cross-validated against stocks, weather and news will be used for meme characterization. This data would let them deduce why certain memes catch on and others don’t.

Source: http://newsinfo.iu.edu/news/page/normal/19178.html

Dated: Nov 9, 2011

Social Media and Disasters

This report focuses on the government’s efforts to use various social media to better manage emergencies by informing citizens of potential danger and allowing communication from citizens to allow for two-way information flow. Very little technical information is given.

Sources: http://www.fas.org/blog/secrecy/2011/09/social_media.html http://www.fas.org/sgp/crs/homesec/R41987.pdf

Dated: Nov 9, 2011

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