A study of trends in the effects of TV ratings and social media (Twitter) -- Case study 1

TL;DR

This study investigates how social media, specifically Twitter, influences TV audience ratings by applying a sociophysical mathematical model to analyze the case of a popular Japanese drama in 2016.

Contribution

It introduces a sociophysical model to quantify social media's impact on TV ratings, providing a novel approach to understanding audience dynamics.

Findings

Social media activity correlates with increased audience ratings.

The mathematical model successfully explains the rise in popularity mid-broadcast.

Social media influence can be quantitatively assessed using the proposed model.

Abstract

The Japanese TV program 'Drama A' is a drama broadcast from October to December 2016. The audience rating was sluggish, but this drama marked a high audience rating in 2016. Since it was popular from the middle, and it was speculated that there was a part related to social media in the popularity, we considered existing research methods as a case study. In this paper, we used a mathematical model of the hit phenomenon to examine the impact of audience assessment from social media from a sociophysical perspective. We got the same consideration as the audience rating per minute of video research. This paper is IEEE BIGDATA2018's Revised paper(Consideration on TV audience rating and influence of social media).