Big data refers to the collection and analysis of complex, large data sets. These data are so big, varied and changes really fast (with an addition or change of records every instance) making it all impossible to use traditional techniques to analyze these data (John Walker, 2014). So, as a replacement for this and to process the variety of data sets stored, data analytics tools are used. These big data are generated all the times by almost everything around us. An example of this can be that data is being generated through our use of social media, while checking out or buying a product online, and even while browsing the web.
With the data so big and almost everything stored, it certainly brings with it the ethical implications as well. Privacy, security of personal information, control over data and identity are some of the ethical implications of big data along with examples of their implications are explained in brief in the paragraphs to follow.
Everyone looks for privacy be in the real or digital world. But with big data, privacy is a big question mark. We use social media, we explore website pretending that no one knows us but that isn’t possible (Jain, Gyanchandani & Khare, 2016). Looking at what pages you like, what kind of interactions and posts you have and what the browsing activities you have can easily give the one looking at those details an idea about your personality and activities. The news about Cambridge Analytica data scandal can be taken as an example here. The business collected data from the Facebook users from 2014 and collected around 87 million user details. Those collected data were then used in an attempt to influence voter opinions in the favor of the politician they support. This caused a big uproar where Facebook had to pay more than half a million dollars to settle the case and a new set of rules was introduced by EU and other countries called GDPR (General Data Protection Regulation), which was recently rolled out in select countries while others are thinking of similar rules.
Security of personal information shared can still be done while ensuring that the confidentiality, integrity, and security by placing proper security rule sets (Ring, 2016). To ensure the confidentiality of the same, people are provided with different security codes to enter to access and transfer money from their account to another using the online system. If that factor is removed, see how easy it would be for anyone with a little information about you or your banking details to simply empty your account.
Transparency is important and without it clouds of uncertainty, questions floats. People need to know and want to know how the data is being used. If the data is used for anything that you’re not comfortable, one won’t be doing things that will allow them to collect data or prevent them from collecting such information. Also, knowing who the users of those data are is necessary here.
Big data close that option to not exit and just get a fresh start. As big data never forget anything while being universal. If you or your business have a very bad news which is published that will still exist even though the page is removed from the website that published it as there are web achieve site like one by Internet Archive called Way back machine, which just loads that page out. Similar to the business website and reviews. Even for a criminal charge, a person record is cleared after a certain term while this isn’t clearly set in case of search engine and data.
Identify can be compromised with big data. In the United States, with just three fields comprising of zip code, birth date and sex of a person, one can know the social security number uniquely for around 87% of people. Those three fields aren’t considered to be personally identifiable information and are commonly shared. People identify can be compromised with a log of web searches of a person. One can be identified or at least give a good idea of the personality trait of a person.
References
Jain, P., Gyanchandani, M., & Khare, N. (2016). Big data privacy: a technological perspective and review. Journal Of Big Data , 3 (1), 1-2.
John Walker, S. (2014). Big Data: A Revolution That Will Transform How We Live, Work, and Think. International Journal Of Advertising , 33 (1), 181-183.
Ring, T. (2016). Your data in their hands: big data, mass surveillance and privacy. Computer Fraud & Security , 2016 (8), 5-10.
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Big data refers to the collection and analysis of complex, large data sets. These data are so big, varied and changes really fast (with an addition or change of records every instance) making it all impossible to use traditional techniques to analyze these data (John Walker, 2014). So, as a replacement for this and to process the variety of data sets stored, data analytics tools are used. These big data are generated all the times by almost everything around us. An example of this can be that data is being generated through our use of social media, while checking out or buying a product online, and even while browsing the web.
With the data so big and almost everything stored, it certainly brings with it the ethical implications as well. Privacy, security of personal information, control over data and identity are some of the ethical implications of big data along with examples of their implications are explained in brief in the paragraphs to follow.
Everyone looks for privacy be in the real or digital world. But with big data, privacy is a big question mark. We use social media, we explore website pretending that no one knows us but that isn’t possible (Jain, Gyanchandani & Khare, 2016). Looking at what pages you like, what kind of interactions and posts you have and what the browsing activities you have can easily give the one looking at those details an idea about your personality and activities. The news about Cambridge Analytica data scandal can be taken as an example here. The business collected data from the Facebook users from 2014 and collected around 87 million user details. Those collected data were then used in an attempt to influence voter opinions in the favor of the politician they support. This caused a big uproar where Facebook had to pay more than half a million dollars to settle the case and a new set of rules was introduced by EU and other countries called GDPR (General Data Protection Regulation), which was recently rolled out in select countries while others are thinking of similar rules.
Security of personal information shared can still be done while ensuring that the confidentiality, integrity, and security by placing proper security rule sets (Ring, 2016). To ensure the confidentiality of the same, people are provided with different security codes to enter to access and transfer money from their account to another using the online system. If that factor is removed, see how easy it would be for anyone with a little information about you or your banking details to simply empty your account.
Transparency is important and without it clouds of uncertainty, questions floats. People need to know and want to know how the data is being used. If the data is used for anything that you’re not comfortable, one won’t be doing things that will allow them to collect data or prevent them from collecting such information. Also, knowing who the users of those data are is necessary here.
Big data close that option to not exit and just get a fresh start. As big data never forget anything while being universal. If you or your business have a very bad news which is published that will still exist even though the page is removed from the website that published it as there are web achieve site like one by Internet Archive called Way back machine, which just loads that page out. Similar to the business website and reviews. Even for a criminal charge, a person record is cleared after a certain term while this isn’t clearly set in case of search engine and data.
Identify can be compromised with big data. In the United States, with just three fields comprising of zip code, birth date and sex of a person, one can know the social security number uniquely for around 87% of people. Those three fields aren’t considered to be personally identifiable information and are commonly shared. People identify can be compromised with a log of web searches of a person. One can be identified or at least give a good idea of the personality trait of a person.
References
Jain, P., Gyanchandani, M., & Khare, N. (2016). Big data privacy: a technological perspective and review. Journal Of Big Data , 3 (1), 1-2.
John Walker, S. (2014). Big Data: A Revolution That Will Transform How We Live, Work, and Think. International Journal Of Advertising , 33 (1), 181-183.
Ring, T. (2016). Your data in their hands: big data, mass surveillance and privacy. Computer Fraud & Security , 2016 (8), 5-10.