Crowd-Powered TV Viewing Rates: Measuring Relevancy between Tweets and TV Programs

Lecture notes in computer sciencePublished 1 January 2011

Shoko Wakamiya, Ryong Lee, Kazutoshi Sumiya

DOI10.1007/978-3-642-20244-5_37

Source URL

Citations26

SJR quartileQ2

SJR score0.35

SNIP0.55

TL;DR

A TV rating method by means of Twitter where the authors can easily find crowd voices relative to TV watching is proposed and an exploratory survey to exploit a large amount of Twitter messages to populate TV programs and on-line video sites is described.

Abstract

Due to the advance of many social networking sites, social analytics by aggregating and analyzing crowds' life logs are attracting a great deal of attention. In the meantime, there is an interesting trend that people watching TVs are also writing Twitter messages pertaining to their opinions. With the utilization of bigger and broader crowds over Twitter, surveying massive audiences' lifestyles will be an important aspect of exploitation of crowd-sourced data. In this paper, for better TV viewing rates in the light of the evolving TV lifestyles beyond home environments, we propose a TV rating method by means of Twitter where we can easily find crowd voices relative to TV watching. In the experiment, we describe our exploratory survey to exploit a large amount of Twitter messages to populate TV programs and on-line video sites.

Keywords

Social Sciences

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