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GDPR & Ethical Issues with Social Media Data

Authors: Weller, Katrin; Watteler, Oliver;

GDPR & Ethical Issues with Social Media Data

Abstract

This presentation was held as part of the SSHOC DARIAH Train-the-trainer RDM Bootcamp held in February 2021 (see Zenodo community sshocdariahtrainerrdmbootcamp). This upload contains the slides of the presentation of the break-out session on GDPR & Ethical Issues with Social Media Data. Data that can be collected from social media and other web platforms are currently being used as a new type of research data across academic disciplines, for example, to study online communication or to learn about users’ behavior or opinions. While the corresponding research area is growing, a lot of questions also about research methods and potential standards are arising, e.g., about representativeness and reproducibility. But discussions also increasingly focus on concerns about research ethics and data protection. A lot of this is work in progress and only a few standards or best practices for research designs or for documenting and sharing this type of research data exist. In this session, some of the key challenges related to questions of research ethics with a focus on data protection concerns in the area of social media as research data will be introduced. The session aims at providing some first insights for participants about critical questions when working with this new type of research data and point out useful resources as references.

Keywords

social media, GDPR, ethics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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