Linking Surveys and Social Media Data – Challenges, Applications and Solutions 2 |
|
| Coordinator 1 | Professor Alexia Katsanidou (GESIS - Leibniz Institute for the Social Sciences) |
| Coordinator 2 | Dr Johannes Breuer (GESIS - Leibniz Institute for the Social Sciences) |
| Coordinator 3 | Dr Katharina Kinder-Kurlanda (GESIS - Leibniz Institute for the Social Sciences) |
| Coordinator 4 | Dr Sebastian Stier (GESIS - Leibniz Institute for the Social Sciences) |
When it comes to measuring phenomena that are of interest to social scientists, such as attitudes, beliefs, values or behavior, both surveys and data from social media platforms have their own advantages and disadvantages. For example, while survey data may be biased by social desirability or faulty memory, data from social media often lack important contextual information and do not capture relevant outcome variables. A promising way of dealing with the limitations of surveys and social media data is to link them. Such linking can help to answer interesting substantive research questions as well as methodological questions about the quality of the data (e.g., regarding the reliability of self-reports or the precision of inferring attributes from social media data).
The process of linking survey and social media data, however, is by no means trivial and comes with its own set of practical as well as ethical challenges. These relate to a variety of issues, including data access, informed consent, limitations imposed by terms of service of social media companies, data privacy, and data archiving and sharing. While there is some pioneering research that has linked data from surveys and social media to answer substantive or methodological questions, this approach is still not widely used, and an exchange of expertise is necessary to improve practices and create standards in this area. We invite contributions for this session that present suggestions for dealing with the various practical and ethical challenges of linking survey and social media data (ideally based on examples). Contributions can be empirical, methodological or conceptual. Relevant topics include but are not limited to:
• Examples of substantive or methodological questions that can be answered by combining surveys and social media data
• Improvement of measurements of human attitudes, beliefs, values, and behavior through the combination of surveys and social media data
• Incentives and Informed consent for studies that link surveys and social media data
• Bias in the sampling process and potential solutions
• Data sharing issues of linked survey and social media data