Tipajin ThaipisutikulSuppawong TuarobMahidol University2018-12-212019-03-142018-12-212019-03-142017-10-18Ubi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications. (2017)2-s2.0-85039921001https://repository.li.mahidol.ac.th/handle/20.500.14594/42291© 2017 IEEE. This study examines the effects of audience messages on social media towards television series' popularity. Based on social media activities surrounding specific television programs, we investigate how audience messages in social media are associated with the popularity of selected TV series. We determine a set of influencing factors, by investigating the trend of aggregated social media data and then use Pearson correlation to find the strength in the relationship between key variables and television rating. Our analysis reveals the potential factors in predicting the trend of the TV series. Also, our findings provide new perspectives to understand the effect of emotional audience messages on TV popularity.Mahidol UniversityComputer ScienceEngineeringBeyond the tweets: Discovering factors that influence TV series preferences from ubiquitous social networksConference PaperSCOPUS10.1109/UMEDIA.2017.8074106