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A manifesto for data sharing in social media research


Weller, Katrin; Kinder-Kurlanda, Katharina

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Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):http://dx.doi.org/10.1145/2908131.2908172

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Körperschaftlicher Herausgeber Association for Computing Machinery (ACM)
Abstract "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)
Thesaurusschlagwörter social media; data capture; data storage; data bank; data protection; data access; comparative research; data quality; validity; methodology
Klassifikation Information und Dokumentation, Bibliotheken, Archive; Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter human centered computing; collaborative and social computing; reproducibility; data sharing; data archives
Titel Sammelwerk, Herausgeber- oder Konferenzband WebSci '16 : proceedings of the 8th ACM Conference on Web Science
Herausgeber Nejdl, Wolfgang; Hall, Wendy; Parigi, Paolo; Staab, Steffen
Konferenz 8. International ACM Web Science Conference. Hannover, 2016
Sprache Dokument Englisch
Publikationsjahr 2016
Erscheinungsort New York
Seitenangabe S. 166-172
ISBN 978-1-4503-4208-7
Status Veröffentlichungsversion; begutachtet
Lizenz Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung