Falsity and inaccuracy in Big Data manifests in different forms. In this chapter, we examine one kind of such manifestation and consider ways to identify it. This manifestation is particularly common in the information posted on the Web. It is not uncommon to influence online friends and followers one way or the other through the information posted on the Web. It is a problem when that influence has a hidden agenda, is based on lies, is vicious in intent, and impacts huge populations. This ...
© Vishnu Pendyala 2018
Vishnu PendyalaVeracity of Big Datahttps://doi.org/10.1007/978-1-4842-3633-8_44. Change Detection Techniques
Vishnu Pendyala1
(1)
San Jose, California, USA
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