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Article
Publication date: 2 August 2022

Hsin-Yi Sandy Tsai and Hui-Fei Lin

This study aims to examine entertainment TV shows' social media accounts to theoretically and practically explore the relationship between social media engagement and the…

Abstract

Purpose

This study aims to examine entertainment TV shows' social media accounts to theoretically and practically explore the relationship between social media engagement and the performance (represented by ratings) of such shows.

Design/methodology/approach

By using the data of a popular TV show in the USA, The Voice, the present study examined the messages on the Facebook fan page of the show and how these messages correlated with the ratings of the show. Social media usage data in the course of three seasons (Seasons 10–12, 82 episodes in total) were collected from Facebook (N = 1,192,722 messages). Both regression and sentiment analysis were performed.

Findings

Overall, the findings revealed positive relationships of TV show ratings with both passive social media engagement (Facebook likes) and the number of official posts. However, active social media engagement was not positively related to show ratings.

Originality/value

By enhancing understanding of audience engagement with social media, our research extends knowledge related to the nature and development of viewer involvement with entertainment across different media platforms. Our results also help clarify how interpersonal communication (social media comments) and mass communication (TV programs) intersect. Practically, the findings could be applied to improve the interaction of TV audiences with show content, provide insights into the future of social TV development and inform decision-making amongst TV industry professionals.

Details

Online Information Review, vol. 47 no. 3
Type: Research Article
ISSN: 1468-4527

Keywords

Content available
Book part
Publication date: 30 January 2015

Abstract

Details

Communication and Information Technologies Annual
Type: Book
ISBN: 978-1-78441-454-2

Content available
Book part
Publication date: 27 November 2014

Abstract

Details

Communication and Information Technologies Annual
Type: Book
ISBN: 978-1-78350-629-3

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