W7160895655 Peer-reviewed research AI × management and organizations

Algorithmic management and worker agency: The platform perspective on algoactivism

Prakriti Dasgupta · Ronan Carbery · Anthony McDonnell · Stefan Jooss

Also recorded as: doi:10.1177/00187267261445807

Human Relations · 2026-05-12

Recorded claims
2
coded from the inspected source
Evidence classes
1
crossref-api-metadata
Recorded limitations
4
stated, never hidden

From the hash-bound evidence releases

Recorded claims

Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.

The abstract describes how digital labor platforms interpret and react to worker algoactivism, arguing that platform adaptation can close worker-exploited gaps and compress agency within algorithmic management.

confidence: high crossref-api-metadata apw-c1-obot-journals

Scope: abstract-level digital-platform study

The abstract describes how platform responses to worker algoactivism recursively adapt algorithmic-management controls and can compress worker agency.

confidence: high crossref-api-metadata apw-c1-obot-journals

Scope: abstract-level

Structured relationships

In-corpus citations

Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.

Boundaries

Limitations & independence

Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.

Recorded limitations

  • Abstract-level evidence only; no full text inspected
  • SAGE public DOI-page probes returned HTTP 403 during the lane, so claims rely on retained Crossref publisher-deposited metadata
  • Crossref metadata only; full text was not inspected.
  • The publisher surface was not queried after the lane’s quarantined dynamic-challenge response; no independent publisher-page verification was attempted.

Source independence

publisher-only