Conference paper | Konferenzbeitrag

A manifesto for data sharing in social media research

"More and more researchers want to share research data collected from social media to allow for reproducibility and comparability of results. With this paper we want to encourage them to pursue this aim - despite initial obstacles that they may face. Sharing can occur in various, more or less formal ways. We provide background information that allows researchers to make a decision about whether, how and where to share depending on their specific situation (data, platform, targeted user group, research topic etc.). Ethical, legal and methodological considerations are important for making this decision. Based on these three dimensions we develop a framework for social media sharing that can act as a first set of guidelines to help social media researchers make practical decisions for their own projects. In the long run, different stakeholders should join forces to enable better practices for data sharing for social media researchers. This paper is intended as our call to action for the broader research community to advance current practices of data sharing in the future." (author's abstract)

ISBN
978-1-4503-4208-7
Extent
Seite(n): 166-172
Language
Englisch
Notes
Status: Veröffentlichungsversion; begutachtet
8. International ACM Web Science Conference. Hannover, 2016

Bibliographic citation
WebSci '16 : proceedings of the 8th ACM Conference on Web Science

Subject
Sozialwissenschaften, Soziologie
Publizistische Medien, Journalismus,Verlagswesen
Information und Dokumentation, Bibliotheken, Archive
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Validität
Datengewinnung
Datenzugang
Methodologie
Datenqualität
Soziale Medien
Datenbank
Datenspeicherung
Datenschutz
vergleichende Forschung

Event
Geistige Schöpfung
(who)
Weller, Katrin
Kinder-Kurlanda, Katharina
Event
Herstellung
(who)
Nejdl, Wolfgang
Hall, Wendy
Parigi, Paolo
Staab, Steffen
Event
Veröffentlichung
(who)
Association for Computing Machinery (ACM)
(where)
Vereinigte Staaten von Amerika, New York
(when)
2016

DOI
Last update
21.06.2024, 4:27 PM CEST

Data provider

This object is provided by:
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. If you have any questions about the object, please contact the data provider.

Object type

  • Konferenzbeitrag

Associated

  • Weller, Katrin
  • Kinder-Kurlanda, Katharina
  • Nejdl, Wolfgang
  • Hall, Wendy
  • Parigi, Paolo
  • Staab, Steffen
  • Association for Computing Machinery (ACM)

Time of origin

  • 2016

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