W2949707148 Peer-reviewed research AI × management and organizations

Working for an Algorithm: Power Asymmetries and Agency in Online Work Settings

Corentin Curchod · Gerardo Patriotta · Laurie Cohen · Nicolas Neysen

Also recorded as: doi:10.1177/0001839219867024

Administrative Science Quarterly · 2019-07-25

Recorded claims
1
coded from the inspected source
Evidence classes
1
crossref-api-metadata
Recorded limitations
2
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 reports that online customer-evaluation algorithms reproduce power asymmetries between sellers, customers, and a platform owner, while sellers use practical knowledge of the algorithm to recover some agency.

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

Scope: abstract-level online-seller study

Structured relationships

In-corpus citations

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

Cites (3)

Cited by (16)

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
  • Bound from an already-retained journal-query response containing multiple works; no post-audit refetch

Source independence

publisher-only