Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Social Media Harvesting

  • Yang Yang
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_80630

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

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Center for Future Media and School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

Section editors and affiliations

  • Jeffrey Xu Yu
    • 1
  1. 1.The Chinese University of Hong KongHong KongChina