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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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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DOI: https://doi.org/10.1007/978-1-4614-8265-9_80630
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