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)


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.


Ethics Big data Bias Analytics Fake news Social computing 


  1. 1.
    Noyes, K.: Mind your analytics, or you could soon be in ethical hot water. IDG News Service, 15 October (2015)Google Scholar
  2. 2.
    Cox, S.: Target: The challenge of data mining. Journal of Critical Incidents, 6, 42 (2013)Google Scholar
  3. 3.
    Duhigg, C.: How companies learn your secrets. The New York Times Magazine, 14 February (2012)Google Scholar
  4. 4.
    Groden, C.: Urban outfitters, anthropologie face D.C. class action suit. Time, 9 August 2013Google Scholar
  5. 5.
    Clifford, S., Hardy, Q.: Attention, shoppers: Store is tracking your cell. The New York Times, 14 July (2013)Google Scholar
  6. 6.
    Kerr, J.: Stores can see where you go by tracking phones, USA Today, 22 February (2014)Google Scholar
  7. 7.
    Cohen, G., Amarasingham, R., Shah, A., Xie, G., Lo, B.: The legal and ethical concerns that arise from using complex predictive analytics in health care. Health Aff. (2014).
  8. 8.
    Umphress, E., Bingham, J., Mitchell, M.: Unethical behavior in the name of the company: the moderating effect of organizational identification and positive reciprocity beliefs on unethical pro-organizational behavior. J. Appl. Psycol. 95(4), 769–780 (2010)CrossRefGoogle Scholar
  9. 9.
    Rosenthal, K.: The African-American talent pool remains a troubling problem for baseball. Fox Sports, 14 April 2017Google Scholar
  10. 10.
    Armour, M., Levitt, D.: Baseball Demographics, 1947–2016. Society for American Baseball Research (SABR) (2017).
  11. 11.
  12. 12.
    Davis, K.: Ethics of Big Data: Balancing Risk and Innovation. O’reilly, Boston (2012)Google Scholar
  13. 13.
    Meyer, R.: The grim conclusions of the largest-ever study of fake news. The Atlantic, 8 March (2018).
  14. 14.
    Yakob, C., Surjandy, E.: Higher education student behaviors in spreading fake news on social media: a case of LINE group. In: International Conference on Information Management and Technology (ICIMTech) (2017)Google Scholar
  15. 15.
    Kshetri, N., Voas, J.: The Economics of “Fake News” IT Pro-IEEE (2017).
  16. 16. Bringing Transparancy to the Great Firewall of China (2018).
  17. 17.
    Kuang, X.: Central State vs. Local Levels of Government: Understanding News Media Censorship in China. Fudan University and Springer Nature Singapore Pte Ltd. (2018)Google Scholar
  18. 18.
    Yasaklanan, D., Ağlar, S.: Mapping the banned social media by country (2018).
  19. 19.
    San Pedro, E.: Cuba internet access still severely restricted. BBC (2016).

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Regis UniversityDenverUSA

Personalised recommendations