RESEARCH ETHICS
Utilising social media as research data inevitably involves research ethics questions, challenges, and risks.
As a researcher, your task is to identify the ethical issues and challenges related to social media data and to minimise and manage risks.
Consider the following questions:
- Social media content is generally not intended for research purposes.
- What risks or harm could arise for individuals from analysing such content?
- What risks or harm could result from processing personal data contained in social media material?
- Could harm occur to you or the individuals if their social media posts are analyzed and highlighted in a public thesis, thereby exposing the posts to a new audience?
- Can you include direct quotes from the material to support your analysis, knowing that the original post and its author may be easily found via search engines?
- Do the posts contain special categories of personal data or other highly sensitive information?
- Examples of highly sensitive information include: criminal convictions, drug use, financial problems, mental health issues, controversial political opinions and activism.
- If such information is present, what harm or damage could occur to individuals from being subjects of your research?
- Avoiding social media material that contains sensitive topics is recommended, as such research may involve significant ethical challenges that cannot be resolved within the scope of a thesis.
These questions, challenges, and risks exist regardless of whether the material is publicly available online or not.
- Please note that researching closed groups likely involves such extensive ethical challenges that they are not suitable as thesis material for Bachelor's/Master's students.
- Even in the case of open groups, it is important to verify whether the platform allows the use of its content for research purposes.
- You must also address other questions related to ethics, personal data, and informing research subjects.
Using social media data often requires preparing a Data Protection Impact Assessment (DPIA).
A DPIA is required especially when the research involves:
- Large-scale processing of data
- Combining or linking datasets
- Collecting special categories of personal data or highly personal information
- Situations where research subjects cannot be informed
More details on DPIA can be found in this educational resource section: Personal Data.