Big Data Issues in Governmental Surveillance: A Criminological Analysis

Running head: CRIMINOLOGY
Criminology
(Big data issue)
Name of the student:
Name of the university:
Author Note

1CRIMINOLOGY
Executive summary
Big data indicates large quantity of data inundating business activities regularly. The following study
is developed to analyze the case of governmental surveillance area keeping Big Data in mind. For
this, various evidences and provided. Primary challenges are addressed. Lastly, recommendations
are made discussing and justifying reasons for how various issues must be addressed.

2CRIMINOLOGY
Table of Contents
1. Problem statement:............................................................................................................................3
2. Evidence of the above problems:.......................................................................................................3
3. Key issues for government:...............................................................................................................5
4. Recommendations:............................................................................................................................8
5. References:......................................................................................................................................11

3CRIMINOLOGY
1. Problem statement:
Area of surveillance practice to be addressed:
Current developments in computational statistics and data collection are coupled with rising
computing processing power. This also includes plunging costs of storage and makes technologies
efficiently analyze a huge set of heterogeneous data found everywhere. Big data technologies have
been raising serious ethical, privacy and security issues, left unaddressed and needed to survey.
Key issues underpinning the above example:
The above areas of surveillance bring about various issues. This includes finding a signal in
noise, data silos, data inaccuracy and fast movement of technology (Kim, Trimi and Chung 2014).
2. Evidence of the above problems:
Big data refers to a huge volume of data which is structured and unstructured inundating
business on a daily basis. However, it intensifies specific trends in surveillance related to networks
and Information Technology.
Having more data has not been any substitute to have high-quality data. For instance, an
article in Nature reported that the elections pollsters of US have been struggling to gain
representative samples of the population (Kitchin 2014). This is because they have been legally
allowed to call landline phones, whereas people of America have been notably depending on cell
phones. One can seek many political opinions on social media. It has been never reliably
representative of voters. A significant share of Tweets and social media posts regarding politics are
generated through computers.