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The Douban Online Social Media Barometer And The Chinese Reception Of Korean Popular Culture Flows, Brian Yecies, Jie Yang, Ae-Gyung Shim, Kai Ruo Soh, Matthew J. Berryman
The Douban Online Social Media Barometer And The Chinese Reception Of Korean Popular Culture Flows, Brian Yecies, Jie Yang, Ae-Gyung Shim, Kai Ruo Soh, Matthew J. Berryman
Faculty of Law, Humanities and the Arts - Papers (Archive)
Since its launch in 2005, the Chinese online social networking site Douban has become a key platform for creating and sharing user-generated content on a rising tide of global popular culture. Such content and its corresponding user data has become so prolific that Western media outlets are now using Douban a key barometer for gauging representative opinions and attitudes towards foreign content in China. However, a full range of tools for harvesting and analyzing Chinese-language datasets has yet to be explored in English. This article attempts to fill this gap by investigating the applicability of an analytical framework that can …
12 Deadly Indigenous Australian Social Media Users To Follow, Bronwyn Carlson
12 Deadly Indigenous Australian Social Media Users To Follow, Bronwyn Carlson
Faculty of Law, Humanities and the Arts - Papers (Archive)
No abstract provided.
Mining Chinese Social Media Ugc: A Big Data Framework For Analyzing Douban Movie Reviews, Jie Yang, Brian Yecies
Mining Chinese Social Media Ugc: A Big Data Framework For Analyzing Douban Movie Reviews, Jie Yang, Brian Yecies
Faculty of Law, Humanities and the Arts - Papers (Archive)
Analysis of online user-generated content is receiving attention for its wide applications from both academic researchers and industry stakeholders. In this pilot study, we address common Big Data problems of time constraints and memory costs involved with using standard single-machine hardware and software. A novel Big Data processing framework is proposed to investigate a niche subset of user-generated popular culture content on Douban, a well-known Chinese-language online social network. Huge data samples are harvested via an asynchronous scraping crawler. We also discuss how to manipulate heterogeneous features from raw samples to facilitate analysis of various film details, review comments, and …