Computational Research in the Post-API Age

Freelon, Deen

doi:10.1080/10584609.2018.1477506

Cited by 336Computational and Text Analysis MethodsSocial Media and PoliticsMisinformation and Its Impacts

Computational Research in the Post-API Age

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Freelon, Deen·2018·Political Communication

DOI 10.1080/10584609.2018.1477506

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Abstract

On April 4, 2018, the post-API age reached a milestone. On that day, Facebook closed access to its Pages API, which had allowed researchers to extract posts, comments, and associated metadata from ...

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Facebook's recent closure of its Pages API impedes the legal and technical means of content extraction for research.
“A current example includes Facebook's recent closure of its Pages API, which impedes the legal and technical means of content extraction for research (Freelon, 2018).”
From How Dictators Control the Internet: A Review Essay (2020) · cites this paper as Freelon, 2018
There is precedent for concern about technology companies transitioning from generous data-sharing to restrictive practices.
“There is precedent for concern about technology companies transitioning from generous data-sharing models to those that are highly restrictive.”
From Can Generative AI improve social science? (2024) · cites this paper as [77]
In the early 2010s, many social media companies shared generous data with researchers, enabling new research and collaborations; in recent years, data-sharing at most large social media companies has been discontinued.
“In the early 2010s, many companies shared generous amounts of data with researchers. This enabled entirely new forms of scholarly research, and social scientists and researchers inside industry frequently collaborated with each other and presented their work at conferences. In more recent years, data-sharing practices at most large social media companies have been discontinued (77).”
From Can Generative AI improve social science? (2024) · cites this paper as [77]

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Authors: Freelon, D.
Affiliations: University of North Carolina at Chapel Hill (US)
Corresponding author: Freelon, Deen
ORCID: Freelon, Deen
Venue: Political Communication
Publisher: Informa UK Limited
Published: 2018-10-02
Volume: 35
Issue: 4
Pages: 665-668
ISSN: 1058-4609 (ISSN-L)
1091-7675
DOI: 10.1080/10584609.2018.1477506
OpenAlex: W2898441677
Cited by: 336
References: 1
Citations by year: 2026: 42 · 2025: 42 · 2024: 40 · 2023: 66 · 2022: 26 · 2021: 37 · 2020: 66 · 2019: 17
FWCI: 110.32
Type: journal article
Language: en
Open access: green
doi.org
Licence: cc-by
Locations: Political Communication (publishedVersion)
SocArXiv (OSF Preprints) (submittedVersion)
OSF Preprints (OSF Preprints) (submittedVersion)
SocArXiv (OSF Preprints) (submittedVersion, cc-by)
Topics: Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Social Sciences › Communication › Social Media and Politics
Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
Keywords: computational social science, research data access

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