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Archiving Social Media Data: A guide for archivists and researchers

Authors: Breuer, Johannes; Borschewski, Kerrin; Bishop, Libby; Vávra, Martin; Štebe, Janez; Strapcova, Katarina; Hegedűs, Péter;

Archiving Social Media Data: A guide for archivists and researchers

Abstract

Social media data are increasingly used in the social sciences. Archiving social media data is associated with a number of specific practical, legal, and ethical challenges that researchers and archivists need to address. In addition, the documentation of social media data also has its own requirements. This guide discusses these different challenges and provides suggestions for addressing them. Based on general considerations as well as examples of social media data that have been archived by CESSDA service providers (and how the identified challenges have been dealt with in those cases), the guide presents suggestions for metadata elements that need to be developed or extended for the proper documentation of social media data. Taking into account the various challenges in archiving social media data and how they may be addressed, the guide also presents practical recommendations for researchers working with social media data and the development of social media data collection tools with regard to the requirements for archiving them.

Keywords

data archiving, social media

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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.
BIP!Impulse provided by BIP!
views
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