[Corpora-List] Data and Demos: The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter

[Chenhao Tan]

Data and Demos: The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter,
involving pairs of tweets issued by the same author and containing the same URL.
e.g.,
t1 "I know at some point you’ve have been saved from hunger by our rolling food trucks friends. Let’s help support them! http://t.co/zg9jwA5j"
vs.
t2:  "Food trucks are the epitome of small independently owned LOCAL businesses!  Help keep them going! Sign the petition [same URL]"

Want us to predict which of two wordings will get more retweets?  Enter them here: http://chenhaot.com/retweetedmore/

Can you tell which version gets more retweets?  Prove it here: http://chenhaot.com/retweetedmore/quiz

Want to use our data, consisting of various subcorpora of  tweet ID pairs (ranging from 11K to 2.4M)? http://chenhaot.com/pages/wording-for-propagation.html

Paper at ACL 2014
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter
Chenhao Tan, Lillian Lee and Bo Pang

--
Chenhao Tan (谭宸浩)
PhD Candidate
Department of Computer Science, Cornell University
http://chenhaot.com
413 Gates Hall

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