Difference between revisions of "Summary about Social Media Research in Disaster/Emergency Response Systems"
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Students: Hemant Purohit, Andrew Hampton, Yiye Ruan | Students: Hemant Purohit, Andrew Hampton, Yiye Ruan | ||
| − | See also: [http://twitris.knoesis.org Twitris: The Social Brain] | + | See also: [http://twitris.knoesis.org Twitris: The Social Brain], [http://knoesis.org/research/semweb/projects/socialmedia/ Semantics driven Analysis of Social Media], [http://wiki.knoesis.org/index.php/Citizen_Sensing Citizen Sensing, Social Signals, and Enriching Human Experience], [http://wiki.knoesis.org/index.php/Computing_For_Human_Experience Computing For Human Experience] |
Revision as of 01:28, 7 November 2011
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
