Projekter pr. år
Abstrakt
We recount and reflect on our experience of interacting with the data infrastructure of Facebook during some pivotal months of change in early 2018. We show how the technical affordances of the Application Programming Interface (API) have critical consequences for the practice of digital controversy mapping and hence argue for the necessity of engaging with changes to these affordances as a consequential data moment for digital STS. The tools that controversy mappers have developed over the past 20 years have focused predominantly on the construction and curation of issue-specific datasets. This is partly justified in the theoretical positions underpinning actor-network theoretical controversy analysis, but it is also technically more convenient than demo- or geographical delimitations. Through the example of a mapping of the Danish HPV debate, we demonstrate the necessity of being able to challenge the issue-specific approach, and we show how this involves direct engagement with the API. We thus provide an inside perspective from a research practice that relies heavily on data from digital platforms and discuss how the closure of public access to API endpoints severely limits this kind of critical engagement.
Originalsprog | Engelsk |
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Tidsskrift | STS Encounters - DASTS working paper series |
Vol/bind | 11 |
Udgave nummer | 1 |
Sider (fra-til) | 59-88 |
Antal sider | 16 |
Status | Udgivet - 2020 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Beyond Issue Publics? Curating a Corpus of Generic Danish Debate in the Dying Days of the Facebook API'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
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PUSH: Når vaccinereaktioner smitter: En tværfaglig kortlægning og analyse af den danske HPV-kontrovers
Munk, A. & Knudsen, A. G.
01/11/2017 → 01/11/2019
Projekter: Projekt › Rådgivende projekt
Presse/Medier
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Facebook skal ikke have monopol på at undersøge sig selv
Anders Koed Madsen & Anders Kristian Munk
10/04/2018
1 Mediebidrag
Presse/medie
Publikation
- 1 Tidsskriftartikel
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The Thick Machine: Anthropological AI Between Explanation and Explication
Munk, A. K., Knudsen, A. G. & Jacomy, M., 2022, I: Big Data & Society. 9, 1, s. 1-14 14 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil6 Citationer (Scopus)50 Downloads (Pure)