TY - JOUR
T1 - The Dynamics of Political Elections
T2 - A Big Data Analysis of Intermedia Framing Between Social Media and News Media
AU - Lo, Wai Han
AU - Lam, Benson Shu Yan
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
Y1 - 2021/8/1
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
UR - http://www.scopus.com/inward/record.url?scp=85074070109&partnerID=8YFLogxK
U2 - 10.1177/0894439319876593
DO - 10.1177/0894439319876593
M3 - Journal article
AN - SCOPUS:85074070109
SN - 0894-4393
VL - 39
SP - 627
EP - 647
JO - Social Science Computer Review
JF - Social Science Computer Review
IS - 4
ER -