TY - GEN
T1 - Retweet reputation
T2 - 2011 International Conference on Weblogs and Social Media, ICWSM Workshop
AU - Fujiki, Shino
AU - Yano, Hiroya
AU - Fukuda, Takashi
AU - Yamana, Hayato
PY - 2011/10/31
Y1 - 2011/10/31
N2 - The widespread of word of mouth using retweets on Twitter has enabled us to estimate trends in the real world. Previous research methods estimate the value of a tweeted content by calculating the number of subscribers who receive the tweet. However, we should consider the numbers of followers for both the tweeter and retweeter(s) as a greater number of followers may result in more retweets, which we call "bias." In this paper, we propose a bias-free evaluation method for tweeted contents. Experiments show that our method is successful at evaluating tweets without biases.
AB - The widespread of word of mouth using retweets on Twitter has enabled us to estimate trends in the real world. Previous research methods estimate the value of a tweeted content by calculating the number of subscribers who receive the tweet. However, we should consider the numbers of followers for both the tweeter and retweeter(s) as a greater number of followers may result in more retweets, which we call "bias." In this paper, we propose a bias-free evaluation method for tweeted contents. Experiments show that our method is successful at evaluating tweets without biases.
UR - http://www.scopus.com/inward/record.url?scp=80054950865&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054950865&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80054950865
SN - 9781577355175
T3 - AAAI Workshop - Technical Report
SP - 10
EP - 13
BT - Social Innovation and Social Media - Papers from the 2011 ICWSM Workshop, Technical Report
Y2 - 21 July 2011 through 21 July 2011
ER -