The Data Abyss: How Lack of Data Access Leaves Research and Society in the Dark
Abstract
This article articulates why the lack of social media platform data access for researchers is a huge problem, for research and society. We then review a number of ongoing initiatives and opportunities towards ensuring sustainable data accees.
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There is a lack of systematic measures of content exposure on platforms such as Facebook, which are largely inaccessible to researchers.
“we have no systematic measures of content exposure on platforms such as Facebook, which are largely inaccessible to researchers2.”
From Like-minded sources on Facebook are prevalent but not polarizing (2023) · cites this paper as [2]
Cites
Computational Research in the Post-API Age
Freelon, D. (2018) · Political Communication · doi:10.1080/10584609.2018.1477506 · Cited by 336 · see citing works
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Like-minded sources on Facebook are prevalent but not polarizing
Nyhan, B., Settle, J., Thorson, E., Wojcieszak, M., Barberá, P., Chen, A. Y., Allcott, H., Brown, T., Crespo-Tenorio, A., Dimmery, D., et al. (2023) · Nature · doi:10.1038/s41586-023-06297-w · Cited by 333 · see citing works
- Authors
- de Vreese, C., & Tromble, R.
- Affiliations
- ASCoR, Universiteit van Amsterdam, Amsterdam, Netherlands
- George Washington University (US)
- ORCID
- Tromble, Rebekah
- Venue
- Political Communication
- Publisher
- Informa UK Limited
- Published
- 2023-05-04
- Volume
- 40
- Issue
- 3
- Pages
- 356-360
- ISSN
- 1058-4609 (ISSN-L)
- 1091-7675
- OpenAlex
- W4377194674
- Cited by
- 29
- References
- 1
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 7 · 2023: 7
- FWCI
- 12.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Political Communication (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- research data access, data access barriers, social media data, political communication research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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