Ethics with Social Media: Are there any?
Some of my previous posts have dipped into the area of ethics in digital media such as privacy. This post will detail the other key ethical issues that are present in specifically social media and the effect these issues can have on the users and abusers of social networking sites.
In order to understand the ethical issues of social media, we need to under the regulation of the media. The implementation and adherence to regulation is key in social media, as the vast expansion of surveillance and data mining technologies should be watched and regulated. surely? Without regulation, either externally or industry regulated, the privacy and security of users could be at stake.
EU Regulation:
Information Directives:
protection of individuals with regard to the processing of personal data and the free movement of such data (i.e. European Commission 2002/58/EC recognition of spyware as an invasive practice).
UK regulation:
In the UK, there are various regulations that protect individuals, not just online but in all industries that hold information.
Below are these regulations:
Freedom of Information Act (2000)
Data protection Act (1998)
As of March 1st, 2011, UK Code of Non-broadcast Advertising, Sales Promotion and Direct Marketing (the CAP Code) expanded to include online, including the rules relating to misleading advertising, social responsibility and the protection of children.
US Regulation:
As with many laws in the US, it varies in each state and sector. US industries have the tendency to lean towards self-regulation which focuses around the industry, norms, codes of conduct and the contracts between businesses and consumers.
As discussed by Andy McStay (2010), US sites are not required by law to tell users about Cookies unless there is personally identified information. [1]
Ethical Issues
So what exactly are the issues with ethics in social media? I’ll know examine these variety of ethical issues in the digital age.
Data Mining
Data mining focuses around extracting useful information from large data sets or databases, it entailed the extraction of “implicit, previous unknown and potentially use information from data”[2]
Data mining aims to predict certain characteristics of individuals through frequently occurring combinations in a database.
There are certain parameters that can be sorted through data mining.
- Association
Patterns where one event is connected to another event e.g– purchasing a pen and purchasing paper
- Sequence or path analysis
Patterns where one event leads to another event, e.g. the birth of a child and purchasing nappies
- Classification
Identification of new patterns, e.g. coincidences between duct tape purchases & plastic sheeting purchases
- Clustering
Finding and visually documenting groups of previously unknown facts e.g geographic location/brand preferences
- Forecasting
Discovering patterns from which one can make reasonable predictions regarding future activities e.g people who join an athletic club may take exercise classes.
(Seifert 2004) [3]
Now what are the ethical issues about data mining?
The mining of data can uncover patterns and correlations but data mining does not tell the user the value or the importance of these patterns. The validity of these patterns becomes dependent of how they compare to ‘real world’ circumstances.
There is a case study of a large data mining project where privacy and ethics may have been breached.
The Terrorism Information Awareness
This project utilised the mining of data of ‘transaction space’, which consists of financial, educational, travel and medical industries etc. The aim was to uncover “connections between transactions for passports, visas, airline tickets, guns, chemical products and “events” such as arrests of suspicious activities.
Various privacy issues arose from this project:
Lack of legal protection against unlawful covert surveillance. This breach avoided the US Fourth Amendment safeguards. [4]
Furthermore, the usage of the data was invisible to the general public which is unlike traditional ‘search and seizure’ procedures. [4] This project also brought up a lot of inaccurate findings and the mining of the data brought up a lot of false positives leading to false arrests and investigations. All these issue arose from the real lack of clarity and understanding of the risks to privacy of data mining.
Dataveillance
Dataveillance is ‘the systematic monitoring of people’s actions or communications through the application of information technology’ (Clarke, 2003).
Below are some websites that use dataveillance to target adverts to specific users that fit their required parameters.
Google can use email, searching, blogging, social network activities to target advertising (& may report to US government)
Amazon can use past activities to target adverts or improve web site. (Zimmer, 2008)[5]
The key issue with dataveillance is that in large scale research, the data obtained is from individuals who are unaware and the data is obtained without their approval and for purposes they may not agree with.
The argument and split in opinion and regulation is about people vs documents. Normally documents can be researched without prior approval but people cannot. Since web pages are documents, researching them is considered okay, but what about the users of websites? where do they fit into this?
Albrechtslund (2008) said ‘to participate in online social networking is also about the act of sharing yourself - or your constructed identity - with others’ [6]
But the argument stays at social media is all about sharing information about yourself, but the key is who you are sharing this information with.
[1] McStay, A., 2010. Digital Advertising. Palgrave Macmillan. p.124
[2]http://www.cs.bris.ac.uk/Teaching/Resources/COMSM0204/handouts/privacy.ethics.pdf
[3] Seifert, 2004
[4] http://en.wikipedia.org/wiki/Fourth_Amendment_to_the_United_States_Constitution
[5] Zimmer, M, The Gaze of the Perfect Search Engine: Google as an Infrastructure of Dataveillance, 2008, Available at:
http://dx.doi.org/10.1007/978-3-540-75829-7_6
[6]Albrechtslund A online social networking as participatory surveillance, first Monday (13:3) 2008, http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewArticle/2142/1949.


