Sign In

Communications of the ACM

ACM TechNews

Twitter 'Fingerprint' Helps Decode How Individuals Respond to Crises


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
The algorithm automatically calculates and generates a heat map of the fingerprint, which makes it easier to determine which aspects of community resilience are more prevalent in people's reactions to certain crises.

A team of researchers at Purdue University has developed an algorithm that captures individuals responses to a particular crisis via their tweets, creating a fingerprint that researchers and policymakers could use to better quantify what the community thinks about that crisis.

Credit: Nikolas Noonan

Purdue ­niversity researchers have developed an algorithm that analyzes tweets to better understand how users respond to crises, offering a new way to inform decisions on disaster management.

The algorithm captures individuals' responses to a particular crisis via their tweets, creating a "fingerprint" that researchers and policy makers can use to better quantify what the community thinks about that crisis.

The technique examines individuals' tweets associated with an event and breaks them down into categories of community resilience: ecological, economical, institutional, social, infrastructure, and quality of life.

The algorithm automatically calculates and generates a heat map of the fingerprint, which makes it easier to determine which aspects of community resilience are more prevalent in people's reactions to certain crises.

From Purdue ­niversity News
View Full Article

 

Abstracts Copyright © 2019 SmithBucklin, Washington, DC, ­SA


 

No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account
ACM Resources