Retweet reputation: A bias-free evaluation method for tweeted contents

Shino Fujiki, Hiroya Yano, Takashi Fukuda, Hayato Yamana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationSocial Innovation and Social Media - Papers from the 2011 ICWSM Workshop, Technical Report
Pages10-13
Number of pages4
Publication statusPublished - 2011 Oct 31
Event2011 International Conference on Weblogs and Social Media, ICWSM Workshop - Barcelona, Catalonia, Spain
Duration: 2011 Jul 212011 Jul 21

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-11-01

Conference

Conference2011 International Conference on Weblogs and Social Media, ICWSM Workshop
CountrySpain
CityBarcelona, Catalonia
Period11/7/2111/7/21

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Fujiki, S., Yano, H., Fukuda, T., & Yamana, H. (2011). Retweet reputation: A bias-free evaluation method for tweeted contents. In Social Innovation and Social Media - Papers from the 2011 ICWSM Workshop, Technical Report (pp. 10-13). (AAAI Workshop - Technical Report; Vol. WS-11-01).