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API-based research" or how can digital sociology and journalism studies learn from the Cambridge Analytica affair
Tommaso Venturini, Richard Rogers

API-based research" or how can digital sociology and journalism studies learn from the Cambridge Analytica affair

Author / Organization:
Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

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 (or 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 collected through online platforms. 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 records on online interactions that are closer to the digital fieldwork.

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Document Information

Document Title API-based research" or how can digital sociology and journalism studies learn from the Cambridge Analytica affair
Author / Organization Tommaso Venturini, Richard Rogers
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-30856
Original Source Link Visit Source Page on hal.science »