The Dynamics of Political Elections: A Big Data Analysis of Intermedia Framing Between Social Media and News Media

Wai Han Lo; Benson Shu Yan Lam; Meily Mei Fung Cheung

doi:10.1177/0894439319876593

The Dynamics of Political Elections: A Big Data Analysis of Intermedia Framing Between Social Media and News Media

Wai Han Lo^*
, Benson Shu Yan Lam
, Meily Mei Fung Cheung

^*Corresponding author for this work

Department of Journalism

Research output: Contribution to journal › Journal article › peer-review

13 Citations (Scopus)

Abstract

This article examines the news framing of the 2017 Hong Kong Chief Executive election using a big data analysis approach. Analyses of intermedia framing of over 370,000 articles and comments are conducted including news published in over 30 Chinese press media, four prominent Chinese online press media, and posts published on three candidates’ Facebook pages within the election period. The study contributes to the literature by examining the rarely discussed role of intermedia news framing, especially the relationship between legacy print media, online alternative news media, and audience comments on candidates’ social network sites. The data analysis provides evidence that audiences’ comments on candidates’ Facebook pages influenced legacy news coverage and online alternative news coverage. However, this study suggests that legacy news media and comments on Facebook do not necessarily have a reciprocal relationship. The implication of the findings and limitations are discussed.

Original language	English
Pages (from-to)	627-647
Number of pages	21
Journal	Social Science Computer Review
Volume	39
Issue number	4
Early online date	9 Oct 2019
DOIs	https://doi.org/10.1177/0894439319876593
Publication status	Published - 1 Aug 2021

User-Defined Keywords

big data
computational approach
election
Facebook
frames

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10.1177/0894439319876593

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title = "The Dynamics of Political Elections: A Big Data Analysis of Intermedia Framing Between Social Media and News Media",

abstract = "This article examines the news framing of the 2017 Hong Kong Chief Executive election using a big data analysis approach. Analyses of intermedia framing of over 370,000 articles and comments are conducted including news published in over 30 Chinese press media, four prominent Chinese online press media, and posts published on three candidates{\textquoteright} Facebook pages within the election period. The study contributes to the literature by examining the rarely discussed role of intermedia news framing, especially the relationship between legacy print media, online alternative news media, and audience comments on candidates{\textquoteright} social network sites. The data analysis provides evidence that audiences{\textquoteright} comments on candidates{\textquoteright} Facebook pages influenced legacy news coverage and online alternative news coverage. However, this study suggests that legacy news media and comments on Facebook do not necessarily have a reciprocal relationship. The implication of the findings and limitations are discussed.",

keywords = "big data, computational approach, election, Facebook, frames",

author = "Lo, \{Wai Han\} and Lam, \{Benson Shu Yan\} and Cheung, \{Meily Mei Fung\}",

note = "Funding Information: We would like to thank the Big Data and Artificial Intelligence Group of The Hang Seng University of Hong Kong for its support. The authors received no financial support for the research, authorship, and/or publication of this article. Publisher Copyright: {\textcopyright} The Author(s) 2019.",

year = "2021",

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doi = "10.1177/0894439319876593",

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AU - Cheung, Meily Mei Fung

N1 - Funding Information: We would like to thank the Big Data and Artificial Intelligence Group of The Hang Seng University of Hong Kong for its support. The authors received no financial support for the research, authorship, and/or publication of this article. Publisher Copyright: © The Author(s) 2019.

PY - 2021/8/1

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N2 - This article examines the news framing of the 2017 Hong Kong Chief Executive election using a big data analysis approach. Analyses of intermedia framing of over 370,000 articles and comments are conducted including news published in over 30 Chinese press media, four prominent Chinese online press media, and posts published on three candidates’ Facebook pages within the election period. The study contributes to the literature by examining the rarely discussed role of intermedia news framing, especially the relationship between legacy print media, online alternative news media, and audience comments on candidates’ social network sites. The data analysis provides evidence that audiences’ comments on candidates’ Facebook pages influenced legacy news coverage and online alternative news coverage. However, this study suggests that legacy news media and comments on Facebook do not necessarily have a reciprocal relationship. The implication of the findings and limitations are discussed.

AB - This article examines the news framing of the 2017 Hong Kong Chief Executive election using a big data analysis approach. Analyses of intermedia framing of over 370,000 articles and comments are conducted including news published in over 30 Chinese press media, four prominent Chinese online press media, and posts published on three candidates’ Facebook pages within the election period. The study contributes to the literature by examining the rarely discussed role of intermedia news framing, especially the relationship between legacy print media, online alternative news media, and audience comments on candidates’ social network sites. The data analysis provides evidence that audiences’ comments on candidates’ Facebook pages influenced legacy news coverage and online alternative news coverage. However, this study suggests that legacy news media and comments on Facebook do not necessarily have a reciprocal relationship. The implication of the findings and limitations are discussed.

KW - big data

KW - computational approach

KW - election

KW - Facebook

KW - frames

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JO - Social Science Computer Review

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The Dynamics of Political Elections: A Big Data Analysis of Intermedia Framing Between Social Media and News Media

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