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Encyclopedia of Database Systems pp 3533–3537Cite as

Social Media Harvesting

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Definition

Social media harvesting is the practice of collecting various types of user-generated content (e.g., tweets, blogs, image, video clips, POI, tags, users) from social media sharing platforms (e.g., Twitter, YouTube, Instagram, Pinterest) and mining useful knowledge (e.g., customer sentiment, social trending topics) to support research practice and make business decisions.

Historical Background

In big data era, driven by the advance of fast Internet, massive storage device, pervasive digital camera, and social media sharing platform, an ever-growing amount of media contents have been generated, consumed, and distributed over the Web. It was recognized that harvesting social media has become a promising topic in both academic and industry areas. Quite a bunch of popular research topics have been recognized, e.g., social content analysis/recognition/search, event modeling, sentiment analysis, social healthcare, smart city, user profiling, etc. Companies and research institutions...

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Recommended Reading

  1. http://next.comp.nus.edu.sg/

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Author information

Authors and Affiliations

  1. Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

    Yang Yang

Authors
  1. Yang Yang
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Corresponding author

Correspondence to Yang Yang .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. The Chinese University of Hong Kong, Hong Kong, China

    Jeffrey Xu Yu

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Yang, Y. (2018). Social Media Harvesting. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80630

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