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What are the disadvantages of big data in social media?

The disadvantages of big data in social media are disadvantages such as poor data quality and confidentiality.

Big data, or huge data, refers to information that is so large that it cannot be captured, managed, processed, and organized in a reasonable amount of time by current mainstream software tools to help businesses make more positive decisions.

In the "Big Data Era" written by Victor Mayer Sch?nberg and Kenneth Kukier, big data refers to the use of random analysis (sampling) as a shortcut, and the use of all data for analysis and processing, and big data is summarized in five characteristics: Volume (large number), Velocity (high speed), Variety (variety), Value (low value), Veracity (authenticity), and Density (density). Density), Veracity (authenticity).

Definition in detail:

Big data refers to a collection of data that cannot be captured, managed, and processed within a certain timeframe using conventional software tools, and requires a new processing model in order to have stronger decision-making, insight discovery, and process optimization capabilities. It is a massive, high-growth and diverse information asset that requires a new processing model for better decision-making, insight discovery and process optimization.