Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales: Comparing Twitter, Yahoo!Movies, YouTube, and blogs

Hyunmi Baek; Sehwan Oh; Hee Dong Yang; Joong Ho Ahn

Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales: Comparing Twitter, Yahoo!Movies, YouTube, and blogs

Hyunmi Baek, Sehwan Oh, Hee Dong Yang, Joong Ho Ahn

School of Business Administration

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Based on Rogers's innovation diffusion model, we investigate how electronic word-of-mouth (eWOM) through different types of social media impacts movie sales across the different phases of movie screening. We collected eWOM information on movies from February to October 2012 from Twitter, Yahoo!Movies, YouTube, and blogs on a daily basis. The results indicate that Twitter is relatively influential on movie revenue in the initial stage of opening because of its mass media characteristic. On the other hand, Yahoo!Movies and blogs are relatively influential on movie revenue in the late stages of opening because of their interpersonal communication characteristics. Since YouTube contains both characteristics of mass media and interpersonal communication, we determine that there is no difference in the impact of YouTube on movie revenue between the initial and late stages of opening.

Original language	English
State	Published - 2014
Event	18th Pacific Asia Conference on Information Systems, PACIS 2014 - Chengdu, China Duration: 24 Jun 2014 → 28 Jun 2014

Conference

Conference	18th Pacific Asia Conference on Information Systems, PACIS 2014
Country/Territory	China
City	Chengdu
Period	24/06/14 → 28/06/14

Keywords

Electronic word of mouth
Innovation diffusion model
Interpersonal communication
Mass media
Social media

Cite this

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title = "Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales: Comparing Twitter, Yahoo!Movies, YouTube, and blogs",

abstract = "Based on Rogers's innovation diffusion model, we investigate how electronic word-of-mouth (eWOM) through different types of social media impacts movie sales across the different phases of movie screening. We collected eWOM information on movies from February to October 2012 from Twitter, Yahoo!Movies, YouTube, and blogs on a daily basis. The results indicate that Twitter is relatively influential on movie revenue in the initial stage of opening because of its mass media characteristic. On the other hand, Yahoo!Movies and blogs are relatively influential on movie revenue in the late stages of opening because of their interpersonal communication characteristics. Since YouTube contains both characteristics of mass media and interpersonal communication, we determine that there is no difference in the impact of YouTube on movie revenue between the initial and late stages of opening.",

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author = "Hyunmi Baek and Sehwan Oh and Yang, {Hee Dong} and Ahn, {Joong Ho}",

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note = "18th Pacific Asia Conference on Information Systems, PACIS 2014 ; Conference date: 24-06-2014 Through 28-06-2014",

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Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales: Comparing Twitter, Yahoo!Movies, YouTube, and blogs. / Baek, Hyunmi; Oh, Sehwan; Yang, Hee Dong et al.
2014. Paper presented at 18th Pacific Asia Conference on Information Systems, PACIS 2014, Chengdu, China.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales

T2 - 18th Pacific Asia Conference on Information Systems, PACIS 2014

AU - Baek, Hyunmi

AU - Oh, Sehwan

AU - Yang, Hee Dong

AU - Ahn, Joong Ho

PY - 2014

Y1 - 2014

N2 - Based on Rogers's innovation diffusion model, we investigate how electronic word-of-mouth (eWOM) through different types of social media impacts movie sales across the different phases of movie screening. We collected eWOM information on movies from February to October 2012 from Twitter, Yahoo!Movies, YouTube, and blogs on a daily basis. The results indicate that Twitter is relatively influential on movie revenue in the initial stage of opening because of its mass media characteristic. On the other hand, Yahoo!Movies and blogs are relatively influential on movie revenue in the late stages of opening because of their interpersonal communication characteristics. Since YouTube contains both characteristics of mass media and interpersonal communication, we determine that there is no difference in the impact of YouTube on movie revenue between the initial and late stages of opening.

AB - Based on Rogers's innovation diffusion model, we investigate how electronic word-of-mouth (eWOM) through different types of social media impacts movie sales across the different phases of movie screening. We collected eWOM information on movies from February to October 2012 from Twitter, Yahoo!Movies, YouTube, and blogs on a daily basis. The results indicate that Twitter is relatively influential on movie revenue in the initial stage of opening because of its mass media characteristic. On the other hand, Yahoo!Movies and blogs are relatively influential on movie revenue in the late stages of opening because of their interpersonal communication characteristics. Since YouTube contains both characteristics of mass media and interpersonal communication, we determine that there is no difference in the impact of YouTube on movie revenue between the initial and late stages of opening.

KW - Electronic word of mouth

KW - Innovation diffusion model

KW - Interpersonal communication

KW - Mass media

KW - Social media

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M3 - Paper

AN - SCOPUS:84928596640

Y2 - 24 June 2014 through 28 June 2014

ER -

Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales: Comparing Twitter, Yahoo!Movies, YouTube, and blogs

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