The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A manifesto for data sharing in social media research
Open accessAbstract
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.
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“Often, releasing raw data is not permitted and is limited to the unique identifiers of the content, e.g., tweet IDs; users must then use the IDs to collect raw the data themselves (Weller and Kinder-Kurlanda 2016).”
From Detection and Resolution of Rumours in Social Media: A Survey (2019) · cites this paper as Weller and Kinder-Kurlanda 2016
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Citations
Cites
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“Another example is the data used by Cha et al. [6].”
Method“But the data is already public”: on the ethics of research in Facebook
Zimmer, M. (2010) · Ethics and Information Technology · doi:10.1007/s10676-010-9227-5 · Cited by 900
Tufekci, Z. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14517 · Cited by 780
Social media for large studies of behavior
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Bruns, A. (2013) · First Monday · doi:10.5210/fm.v18i10.4879 · Cited by 86 · cited 1×
“…other hand, there are more and more efforts to take social media research to the next level, e.g. by taking critical perspectives in big data analyses [2; 3; 10; 27; 28] or by uncovering details about the nature and quality of data obtained through the APIs of social media platforms [4; 22; 37].”
Background
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Cited by
Sorted by citations
Detection and Resolution of Rumours in Social Media: A Survey
Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019) · ACM Computing Surveys · doi:10.1145/3161603 · Cited by 862
Ben-David, A. (2020) · European Journal of Communication · doi:10.1177/0267323120922069 · Cited by 40
Metadata
- Authors
- Weller, K., & Kinder-Kurlanda, K. E.
- Affiliations
- GESIS - Leibniz Institute for the Social Sciences (DE)
- Venue
- Proceedings of the 8th ACM Conference on Web Science
- Publisher
- ACM
- Published
- 2016-05-22
- Pages
- 166-172
- OpenAlex
- W2401562030
- Cited by
- 54
- References
- 5
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 7 · 2018: 5 · 2017: 7 · 2016: 2
- FWCI
- 5.06
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ACM Web Science Conference (WebSci) (publishedVersion, other-oa)
- Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- data sharing, social media research, reproducibility, research ethics, legal issues, methodological considerations, research data management
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