The DOI matches its Crossref record.
“API-Based Research” or How can Digital Sociology and Journalism Studies Learn from the Facebook and Cambridge Analytica Data Breach
Open accessAbstract
API-based research is an approach to computational social sciences and digital sociology based on the extraction of records from the datasets made available by online platforms through their application programming interfaces (APIs). This type of research has allowed the collection of detailed information on large populations, thereby effectively challenging the distinction between qualitative and quantitative methods. Lately, access to this source of data has been significantly reduced after a series of scandals connected to the use of personal information. The closure of APIs, however, can have positive effects, if it encourages researchers to reduce their dependence on mainstream platforms and explore new sources and ways to collect online records that are closer to the digital fieldwork.CONCEPT DEFINITION: API-Based Research
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Citations
Cited by
Ethical framework for Artificial Intelligence and Digital technologies
Ashok, M., Madan, R., Joha, A., & Sivarajah, U. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102433 · Cited by 469
After the ‘APIcalypse’: social media platforms and their fight against critical scholarly research
Bruns, A. (2019) · Information, Communication & Society · doi:10.1080/1369118x.2019.1637447 · Cited by 403
Why addressing digital inequality should be a priority
Imran, A. (2023) · THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES · doi:10.1002/isd2.12255 · Cited by 124
Mancosu, M., & Vegetti, F. (2020) · Social Media + Society · doi:10.1177/2056305120940703 · Cited by 105
Ben-David, A. (2020) · European Journal of Communication · doi:10.1177/0267323120922069 · Cited by 40
Metadata
- Authors
- Venturini, T., & Rogers, R.
- Venue
- Digital Journalism
- Publisher
- Informa UK Limited
- Published
- 2019-04-17
- Volume
- 7
- Issue
- 4
- Pages
- 532-540
- ISSN
- 2167-0811 (ISSN-L)
- 2167-082X
- OpenAlex
- W2940189872
- Cited by
- 168
- References
- 0
- FWCI
- 70.64
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: “API-Based Research” or How can Digital Sociology and Journalism Studies Learn from the Facebook and Cambridge Analytica Data Breach. https://app.cochat.ai/papers/10.1080/21670811.2019.1591927
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- Venturini, T., & Rogers, R. (2019). “API-Based Research” or How can Digital Sociology and Journalism Studies Learn from the Facebook and Cambridge Analytica Data Breach. Digital Journalism. https://doi.org/10.1080/21670811.2019.1591927
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
