Why watching movie tweets won't tell the whole story?

Felix Ming Fai Wong, Soumya Sen, Mung Chiang

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

23 Scopus citations

Abstract

Data from Online Social Networks (OSNs) are providing analysts with an unprecedented access to public opinion on elections, news, movies, etc. However, caution must be taken to determine whether and how much of the opinion extracted from OSN user data is indeed reflective of the opinion of the larger online population. In this work we study this issue in the context of movie reviews on Twitter and compare the opinion of Twitter users with that of IMDb and Rotten Tomatoes. We introduce metrics to quantify how Twitter users can be characteristically different from general users, both in their rating and their relative preference for Oscar-nominated and non-nominated movies. We also investigate whether such data can truly predict a movie's box-office success.

Original languageEnglish (US)
Title of host publicationWOSN'12 - Proceedings of the ACM Workshop on Online Social Networks
Pages61-66
Number of pages6
DOIs
StatePublished - Sep 28 2012
Event2012 Workshop on Online Social Networks, WOSN 2012 Co-located with SIGCOMM 2012 - Helsinki, Finland
Duration: Aug 17 2012Aug 17 2012

Publication series

NameWOSN'12 - Proceedings of the ACM Workshop on Online Social Networks

Other

Other2012 Workshop on Online Social Networks, WOSN 2012 Co-located with SIGCOMM 2012
CountryFinland
CityHelsinki
Period8/17/128/17/12

Keywords

  • information dissemination
  • movie ratings

Cite this

Wong, F. M. F., Sen, S., & Chiang, M. (2012). Why watching movie tweets won't tell the whole story? In WOSN'12 - Proceedings of the ACM Workshop on Online Social Networks (pp. 61-66). (WOSN'12 - Proceedings of the ACM Workshop on Online Social Networks). https://doi.org/10.1145/2342549.2342564