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The paradox of opinion leadership and recommendation culture in Chinese online movie reviews

The paradox of opinion leadership and recommendation culture in Chinese online movie reviews

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In this empirical study of online leadership, analysis for movie recommendations on Douban, one of the biggest interest-oriented online Chinese-language social networking systems of its kind, we address the identification of the characteristics of key opinion leaders using a big data processing framework. As an illustrative case study, we focus on a niche subset of popular audience content on Douban: approximately a half million short comments regarding the top 94 most popular South Korean films produced between 2003 and 2012. Raw data samples, including film details, review comments, and user profiles, are harvested via one asynchronous scraping crawler, and then their heterogeneous features are manipulated accordingly. Finally, a parallel association rule-mining (ARM) algorithm is employed for revealing leadership patterns. The proposed framework explains how to extract high-level features that can then be used to gauge the effectiveness of these so-called key leaders and their ability to generate word-of-mouth (WOM) awareness and interest surrounding their recommendations. In turn, researchers can edge closer to determining the kind of charismatic `soft power' appeal of leading reviewers and reviews that are facilitating among follower networks new opportunities to evaluate a film and ultimately to decide to view it.

Chapter Contents:

  • 16.1 Introduction
  • 16.2 Related work on online leadership and recommendation
  • 16.2.1 The rise of China
  • 16.2.2 Opinion leadership
  • 16.2.3 Recommendation system
  • 16.2.4 Leadership for recommendations among social networks
  • 16.3 Methodology
  • 16.3.1 Data collection
  • 16.3.2 Feature builder
  • 16.3.3 Rule-mining functionality
  • 16.3.4 Methodology outline
  • 16.4 Leadership and recommendation analytics
  • 16.4.1 Experimental setup
  • 16.4.2 Feature statistics
  • 16.4.3 Discovering leadership patterns
  • 16.4.4 Discussion
  • 16.5 Conclusion
  • References

Inspec keywords: recommender systems; social networking (online); data mining; natural language processing; consumer behaviour; entertainment; Big Data; cultural aspects

Other keywords: South Korean films; recommendation culture; opinion leadership; leading reviewers; Douban; film details; key opinion leaders; movie recommendations; short comments; review comments; online leadership; niche subset; raw data samples; interest-oriented online Chinese-language social networking systems; popular audience content; asynchronous scraping crawler; leadership patterns; key leaders; heterogeneous features; big data processing framework; Chinese online movie reviews; empirical study; high-level features; parallel association rule-mining algorithm; user profiles

Subjects: Natural language processing; Humanities computing; Information networks; Data handling techniques

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