Some benefits of measuring Social
media come from what the big data is been collected as it is been stored for the future and current examination by many. Such things like been aware of what is trending, what people like and do not like, and different informational data; is accessible in matters of seconds compared to the origins of the internet. Big data now refers to
the technological and cultural data that is been analyzed by the capabilities of
modern computers. It's more of the research than the amount of data a computer can hold.
Some of the challenges when it comes
to Big Data become that they are prone to errors. Weather combining different data
sets, there are many rules, and privacy settings when it comes to data sharing. There
is an overlap of data and permission access that individuals are not aware of. If
I remember correctly, a couple years ago there was a company named Equifax that
was sharing personal data to other companies without in the individuals
knowing. That data was breach and many Americans sensitive information ware at
risk of going through identity deft. Thus the problem comes when filtering and working
with sensitive data, as any other company can buy and share, personal sensitive
data that we believe only one company, app, the website has access to.
Some of the implications with big data
come from the access and the privet data itself. Many countries might restrict, block, and filter what's going in and out from their countries. Thus,
many of the data might not be accessible to different people in different regions.
It is also important to understand that data is been uploaded daily, every
second, minute all 365 days a year. All that data must and is been filter or
sorted out in such ways for the user to find a more accurate, reliable, and credible source of data. Thus private data searching in social media might be a bit of a hustle as the number and types of sources been filter must go into finding resemblance to the specific research to see what is going to be accounted for or ignored for the filtering.
-Benjamin C.
9/12/2020
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