Digital Fairness and the Burden of Proof

Peter Rott

Journal of Consumer Policy2025https://doi.org/10.1007/s10603-025-09583-4article
AJG 2ABDC C
Weight
0.37

What the paper says

Abstract Digital infrastructures, such as online platforms, and digital services, such as scoring, and the algorithms behind them, have often been described as a “black box.” This is a problem for consumers and consumer organizations that wish to enforce their individual rights or collective remedies in civil law litigation. The reason is that traditionally, the burden of proof is normally on the claimant, who has to prove those elements of a legal provision that act in their favour, whereas the burden of proof for defences is normally on the defendant. Burden of proof has therefore been identified as a major obstacle in the fight against digital unfairness. This means, at the same time, that the important element of private enforcement is insufficient, which hampers the effectiveness of EU consumer law in general. On this background, this article discusses, after some preliminary remarks addressing the scope of the problem, (1) to what extent EU law already requires alleviations of the burden of proof in litigation around unfair digital commercial practices in national courts and (2) how a tailor-made regime of specific provisions related to the burden of proof could, or should, be designed.

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https://doi.org/https://doi.org/10.1007/s10603-025-09583-4

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@article{peter2025,
  title        = {{Digital Fairness and the Burden of Proof}},
  author       = {Peter Rott},
  journal      = {Journal of Consumer Policy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s10603-025-09583-4},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.