Big Data are mega amounts of data that are more clearly described by the 3 Vs, volume, velocity and variety. These data’s are huge in size, continuously and consistently accumulate, are varied in content and are very difficult to analyze. (Wallace, 2015, p. 117) For example the data collected from social media, web blogs, web search, photo sharing, GPS etc. are known as big data. The place where they store the big data is known as warehouse and data when used from this warehouse is known as data mining.
Now why do big companies and governments spend so much on colleting data? Any company or government who can collect relevant data will be the most powerful among their competitors. The power of the world has shifted in this modern day from having weapons to having information as having better information can give way to greater decisions making power for impact.
There is a saying, with great power come greater responsibility and it is rightfully said. Big data holds hidden patters that are huge source of information on customer behavior pattern on their likes and dislikes which are highly lucrative to whoever can get their hands on it.
Data ownership does not mean that they own the data but is a loose interpretation of ownership. Big data is collected from various organizations and locations that receive the data and is assumed to be acquired through consent. Having an option to secure data does not necessarily mean that is will be respected. In most cases an individual does not own the data. It is but a small check before they are transported through the data transmission highway know as big data. (White, Ariyachandra, & White, 2017)
In a recent news that rocked the world, we can look at Facebook, a social site that has over 2 billion users worldwide. The data breach from Facebook, mostly catered to the American citizens have been blamed for the unethical use in the political campaign in the presidential election. As reported by The Guardian, "The data analytics firm that worked with Donald Trump’s election team and the winning Brexit campaign harvested millions of Facebook profiles of US voters, in one of the tech giant’s biggest ever data breaches, and used them to build a powerful software program to predict and influence choices at the ballot box. (Cadwalladr & Graham-Harrison, 2018)”
This is how the use of big data can have ethical issues which have direct impact on the society bringing changes to it.
References
Cadwalladr , C., & Graham-Harrison, E. (2018, March 17). Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. The Guardian .
Wallace, P. (2015). Information System in Action. In P. Wallace, Introduction to Information System (pp. 4-9). New Jersey: Pearson Education, Inc.
White, G., Ariyachandra, T., & White, D. (2017). Big Data, Ethics, and Social Impact Theory - A Conceptual Framework. Journal of Management & Engineering Integration; tURLOCK , 22-28. Retrieved from proxy.lirn.net/MuseProxyID=mp02/Mu...
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Big Data are mega amounts of data that are more clearly described by the 3 Vs, volume, velocity and variety. These data’s are huge in size, continuously and consistently accumulate, are varied in content and are very difficult to analyze. (Wallace, 2015, p. 117) For example the data collected from social media, web blogs, web search, photo sharing, GPS etc. are known as big data. The place where they store the big data is known as warehouse and data when used from this warehouse is known as data mining.
Now why do big companies and governments spend so much on colleting data? Any company or government who can collect relevant data will be the most powerful among their competitors. The power of the world has shifted in this modern day from having weapons to having information as having better information can give way to greater decisions making power for impact.
There is a saying, with great power come greater responsibility and it is rightfully said. Big data holds hidden patters that are huge source of information on customer behavior pattern on their likes and dislikes which are highly lucrative to whoever can get their hands on it.
Data ownership does not mean that they own the data but is a loose interpretation of ownership. Big data is collected from various organizations and locations that receive the data and is assumed to be acquired through consent. Having an option to secure data does not necessarily mean that is will be respected. In most cases an individual does not own the data. It is but a small check before they are transported through the data transmission highway know as big data. (White, Ariyachandra, & White, 2017)
In a recent news that rocked the world, we can look at Facebook, a social site that has over 2 billion users worldwide. The data breach from Facebook, mostly catered to the American citizens have been blamed for the unethical use in the political campaign in the presidential election. As reported by The Guardian, "The data analytics firm that worked with Donald Trump’s election team and the winning Brexit campaign harvested millions of Facebook profiles of US voters, in one of the tech giant’s biggest ever data breaches, and used them to build a powerful software program to predict and influence choices at the ballot box. (Cadwalladr & Graham-Harrison, 2018)”
This is how the use of big data can have ethical issues which have direct impact on the society bringing changes to it.
References
Cadwalladr , C., & Graham-Harrison, E. (2018, March 17). Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. The Guardian .
Wallace, P. (2015). Information System in Action. In P. Wallace, Introduction to Information System (pp. 4-9). New Jersey: Pearson Education, Inc.
White, G., Ariyachandra, T., & White, D. (2017). Big Data, Ethics, and Social Impact Theory - A Conceptual Framework. Journal of Management & Engineering Integration; tURLOCK , 22-28. Retrieved from proxy.lirn.net/MuseProxyID=mp02/Mu...