Investigating systems that make decisions about humans, often termed algorithmic accountability reporting, is becoming ever more important. To do it right, reporters need to understand concepts of fairness and bias – and work in teams. A primer.
An initial analysis shows that platforms have done little to “empower the research community” despite promises made last June under the EU’s revamped Code of Practice on Disinformation.
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Companies like Facebook, Instagram, Google, and TikTok often know about the harmful effects of their algorithmic systems and yet continue to prevent independent research on them. Data donations like DataSkop are one of the few ways to investigate opaque algorithms.
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Full- or part-time, 30-40 h per week | Starting date: as soon as possible | Deadline for applications: 12 February 2023
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Part-time (30-32 h per week) | Starting date: as soon as possible | Deadline: we will be conducting interviews on a rolling basis
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After the announcement that we offer a fellowship in algorithmic accountability reporting, we received over 100 applications and were overwhelmed by the quality and diversity of them. After a careful examination, we’re very happy to introduce our first six fellows, an outstanding group of journalists, academics, and a civil society activist.
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Automated systems were surprisingly absent from this year’s major stories. On the regulation front, European institutions stepped up their efforts. How much change Europeans can expect depends on the institutions’ resolve, and the first test of 2023 already began.
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Thanks to the Digital Services Act (DSA), public interest researchers in the EU have a new legal framework to access and study internal data held by major tech platforms. What does this framework look like, and how can it be put into practice?
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