'Truthy' Web Site to Search, Identify Smear Tactics, Twitter-Bombs Through Election Runup ScienceDaily (Sep. 28, 2010) —
Astroturfers, Twitter-bombers and smear campaigners need beware this election season as a group of leading Indiana University information and computer scientists have unleashed Truthy.indiana.edu, a sophisticated new Twitter-based research tool that combines data mining, social network analysis and crowdsourcing to uncover deceptive tactics and misinformation leading up to the Nov. 2 elections.
Combing through thousands of tweets per hour in search of political keywords, the team based out of IU's School of Informatics and Computing will isolate patterns of interest and then insert those memes (ideas or patterns passed by imitation) into Twitter's application programming interface (API) to obtain more information about the meme's history.
"When we identify a trend we go back and examine how it was started, where the main injection points were, and any associated memes," said Filippo Menczer, an associate professor of computer science and informatics. "When we drill down we'll be able to see statistics and visualizations relating to tweets that mention the meme and basically reconstruct its history."
The team will then generate diffusion network images that visitors to Truthy.indiana.edu can view as groups of nodes and edges that identify retweets, mentions, and the extent of the epidemic. Visitors to the site will also see the output of a sentiment analysis algorithm that examines and extracts mood-identifying words and then assesses them on a known psychometric scale. That algorithm identifies the meme on scales ranging from anxious to calm, hostile to kind, unsure to sure, and confused to aware.
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