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Ethics in Analytics and Social Media

  • Ed LindooEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 69)

Abstract

In Data Sciences and Computing, bias, conscious or subconscious, can be introduced in a variety of ways. The need for ethics is essential as bias can be found in the data collection phase of big data, analysis phase, and insight phase. Bias can also be found in the outcome phase, assessment phase and improvement phase., Analysts must be aware of possible bias to prevent it in their analysis. With the introduction of social computing, bias, today considered “fake news”, must also be considered. Bias can be a big issue with sites like Facebook, Twitter and even the news media. It has been found that our young, particularly college students, can easily be swayed by social media information, including information that is ultimately proven incorrect. This can be dangerous to society. We have seen countries, for example, China, Saudi Arabia among others blocking social media sites.

Keywords

Ethics Big data Bias Analytics Fake news Social computing 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Regis UniversityDenverUSA

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