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 "name": "Historical 7A302Fcd3743F4E8Bc06",
 "text": "Algorithmic regulation at the city level in China-ERRATUM should be assessed against Kaal's source-bound claim that Contesting the safety rationale offered for restricting Uber, the authors argue that the two way rating system and the algorithmic matching of drivers and customers already provide an effective means of policing drivers and ensuring a safe ride. The current metadata indicates a plausible connection through algorithmic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: metadata only.",
  "Mapping review tier: mapping review before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
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  "url": "https://www.semanticscholar.org/paper/6963132e365929ad2a1af4b34ebe4b9cb4453141"
 },
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  "url": "https://wulfkaal.github.io/claims/2834531-025",
  "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Regulation Tomorrow What Happens When Technology Is Faster Than the Law (2017). SSRN: https://ssrn.com/abstract=2834531",
  "paper": "Wulf A. Kaal, Erik P. M. Vermeulen, Regulation Tomorrow What Happens When Technology Is Faster Than the Law",
  "authors": [
   "Wulf A. Kaal"
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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: algorithmic, regulation. Scope: ride hailing platforms with reciprocal ratings and algorithmic matching.",
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  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
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  "page": 1,
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  "retrievedAt": "2026-07-31T13:58:30.108Z",
  "citationCount": 0,
  "venue": "Data & Policy",
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