Online opinion leadership in China's digital army: proposals for an empirical study of douban
Authors: 
Jie Yang, Brian YeciesAuthors Info & Claims
Article No.: 20, Pages 1 - 4
Abstract
This paper presents the preliminary findings of an investigation into online opinion leadership using user-generated content from one of the most popular social media digital platforms in China (Douban), where a large army of media-savvy users post and follow comments about films. We first address the problems involved in harvesting huge data samples relating to a number of top-performing South Korean films via an asynchronous scraping crawler. Then, to gain deeper insights into how opinion leaders and followers are making sense of popular cinema, especially exposure to transnational content, the data samples collected are represented using multiple high-level features. Finally, a linear regression model is introduced to analyse the characteristics of opinion leaders. These preliminary results show that the proposed framework is flexible and applicable to social media data for the mining of information relating to online leadership, information which can in turn be used to better inform domestic as well as international producers, distributors and consumers of digital media content.
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- Online opinion leadership in China's digital army: proposals for an empirical study of douban
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Published: 29 January 2018
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- Short-paper
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- Australian Research Council Discovery Project
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ACSW 2018
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- CORE
ACSW 2018: Australasian Computer Science Week 2018
January 29 - February 2, 2018
Queensland, Brisband, Australia
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ACSW '18 Paper Acceptance Rate 49 of 96 submissions, 51%;
Overall Acceptance Rate 204 of 424 submissions, 48%
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