Project #56758 - week 5 discussion board

Instructions: reply to the three different posts (Post1, Post 2, and Post 3) by saying if whether or not you agree with the post by discussing it. Also, you should cite in each reply for each post. Also, Please refer to which post you are responding to by writing ex. Reply for Post 1. Also, provide a hyperlink for each source. These reply posts can be short. The reply of each post should be between 200-350 words.

 

Post 1 by David Ignatovich:

 

28. What is the difference between privacy and anonymity?

A definition of privacy that really caught my eye is from the Merriam-Webster Dictionary where it is defined as “the quality or state of being apart from company or observation”. Usually when something is done in private, it is only known by the person doing the act themselves and no one else. Many businesses today have to include privacy in their top priority list in order to be able to attract customers. Whenever a customer makes a purchase from a specific retailer or even making a visit to the clinic, they expect the company to keep all their personal information private and without accomplishing this the company would be on the verge of bankruptcy or even worse lawsuits. Today many people are worried with having their private information exposed from all the technology advancing and different policies they have. With the invention of the smartphone, it makes it so much no easier to get a lot of information at one instance of time almost in any location. A Washington Post article called “Target says up to 70 million more customers were hit by December data breach” talks about how some hackers were able to access Targets system and steal around 70 million of customer’s credit and debit card information, names, addresses and phone numbers. This type of invasion of privacy could trigger a huge decrease in sales at this popular grocery store. Of course, Target responded with emails to customers explaining how they can improve their security and were having an investigation on the cause of this, but that doesn’t change the fact that what used to be private is not so private anymore.

As far as comparing anonymity to privacy, it remains anonymous but that fact that it was told to someone else excludes it from being known only by the individual. The Merriam-Webster Dictionary defines it as “the quality or state of being unknown to most people”. A person tends to expose private information whenever being surveyed or interviewed but remains anonymous. Sometimes whenever there are studies being done many might want to give out their own private information to help out, but they do not want to be known which would be a good example of anonymity. Back in the day researches sometimes even had to go from door to door of people’s homes in order to find some sort of behavioral information, but with the technology today that is not needed anymore. An example of this is when investigators were trying to figure out the origins of AIDS and had to do this type of investigation. A good article explaining more of this study is called “Conspiracy Beliefs about the Origin of HIV/AIDS in Four Racial/Ethnic Groups”.

Another interesting site that compares the two is “How Does Privacy Differ From Anonymity, And Why Are Both Important?

 

Post 2 by Jing Guang Sia: Made Up Question: Is it ethical for healthcare and pharmaceutical industries to data mine medical information?

 

Data mining is the act of finding relationships and patterns between large sets of data, and then using the results in meaningful ways. Recently, data mining has crept into healthcare and pharmaceutical industries. The digitization of patient and consumer’s information creates the incentives for the mentioned industries to mine and exchange these data. Supreme Court Sides with Pharmaceutical Industry in Two Decisions shows how mining companies extract and sell prescription data to drug makers. Hospitals Are Mining Patient’s Credit Card Data shows how hospitals in Charlotte, Carolina, obtains patient’s spending activities to monitor patient’s behaviors, without their consent. These cases challenges data mining’s morality in context of the highly personal medical information.

The Kantian would suggest that mining medical information should not be done. The Second Formulation of the Categorical Imperative states that one should always treat others as an end, not means to an end. Pharmaceutical companies do not meet these criteria, as patient’s prescription data are being sold or analyzed for market research. These companies do not grant their customers the knowledge of consent, and instead sees them as a tool to achieve something else: profits. On the contrary, the hospital example is somewhat more ambiguous. There are possibly two ways to interpret the hospital’s behavior. The hospitals could have been treating the subjects as an end, seeing them as patients that require assistances. On the other hand, the information could be used as a forecasting tool for netting more patients in. Depending on the the hospital’s intentions, data mining could violate the Second Imperative, although this is not absolute. Objectively, data mining for medical and prescription information is not ethical, as it does not uphold the Kant’s standards for Categorical Imperative.

Meanwhile, there are no explicit rules that disallows either healthcare or pharmaceutical industries to data mine. In fact, data mining medical information can present certain benefits. Data Mining in Doctor’s Office Help Solves Medical Mysteries shows how Microsoft sifted through MedStar Washington Hospital Center’s and discovered how location of patient’s room correlates with amount of sick patients. In turn, the hospital could detect which rooms have more sickness inducing agents, such as bacteria. Although Microsoft is not a healthcare company, the example shows how mining medical data can improve the operations of hospitals. As for pharmaceutical companies, a counter-argument would be for these businesses to collect and assess prescription information to create more effective drugs, or make drug distribution more efficient. If done correctly, data mining medical information could change both industries for the better.

Right now, however, data mining information is a sensitive topic, and must be handled carefully. Failing to do so would increase its negative implications and violate ethical standards. However, if done right, data mining medical information could positively impact how both industries operate. Whether if data mining medical information is ethical lies on its outcome.

 

Post 3 by Katherine Elkins:  what is Social media mining ?

 

Data mining within a social network offers a rather large database for collective information that will be used by analyst to see patterns of communication and interactions. Although corporations use it to the organizations advantage, it may take information one may not care to out in the world. According to Social Media Mining, this term is defined as the process of representing, analyzing, and extracting actionable patterns from social media data. Within data mining analysts are able to discuss theories and methodologies from different disciplines such as computer science, data mining, machine learning, social network analysis, network science, sociology, ethnography, statistics, optimization, and mathematics (Social Media Mining).

Social media mining is a great tool for understanding patterns in human behavior. In addition, it allows the analyst to gather information about individuals and see their interactions.  Social media includes not only networking sites but blogs as well. These include Twitter, Facebook, Pinterest, Tumblr, LinkedIn, Wix, Photosharing sites, Youtube, etc. The main thing social media mining does is measures the virtual world and help people understand their interactions.

 

According to an op-ed Facebook Is Using you, it states that compies are reaching us by choosing key words or details- like relationship status, location, activities, favorite books and employement. This then gets run through Facebook to target people based on their pre-sets.When Facebook became a public share it opened up a whole new aspect.  Facebooks data does not compare to googles data. Data miing becomes intrusive when private information is sold to a company. Also when cookies are installed on the websites one uses. 

Subject English
Due By (Pacific Time) 02/08/2015 07:00 pm
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