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Retweet Reputation: A Bias-Free Evaluation Method for Tweeted Contents

Authors

Shino Fujiki,Hiroya Yano,Takashi Fukuda,Hayato Yamana

Waseda University,Waseda University,Waseda University,Waseda University


Proceedings:

Proceedings of the International AAAI Conference on Web and Social Media, 5

Volume

Issue:

Vol. 5 No. 2 (2011): ICWSM Workshop Technical Report WS-11-01 (Social Innovation and Social Media)

Track:

Social Innovation and Social Media

Downloads:

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Abstract:

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.

DOI:

10.1609/icwsm.v5i2.14202


ICWSM

Vol. 5 No. 2 (2011): ICWSM Workshop Technical Report WS-11-01 (Social Innovation and Social Media)