Data · dataset · 2026
Replication data for: Crowdworkers with Nonmonetary Incentives and Payment Framing — Evidence from a Large-Scale Experiment
Listed in GESIS Data Archive and Forschungsdatenzentrum des LIfBi — shown once because both records carry DOI 10.7802/3056
An increasing number of individuals worldwide are participating in crowdwork and telework.
Description
They often perform tasks such as AI training and content moderation. While these tasks are typically conducted in large quantities and often involve routine elements, their nature makes them inherently demanding.
They require high levels of engagement or creativity and produce outputs of subjective quality that are difficult to measure. In a preregistered field experiment involving over 5500 crowdworkers, we examined the impact of automated recognition and work-appreciation phrases and payment framing on motivation, performance, and job satisfaction. The results indicate that recognition - automated phrases: Great work!
Read the rest (2 more)
You did a good job! Nice job! Well done! - positively influences subjective job satisfaction, and that loss-framed payment is somewhat more effective than gain framing.
Overall, the treatments have little effect on objective and subjective performance and motivation. Further keywords: recognition and appreciation, loss and gain framework, automated motivation weitere Schlagworte: Anerkennung und Wertschätzung, Verlust- und Gewinnrahmen, automatisierte Motivation
Links
Where it is published
- DOI doi.org/10.7802/3056 ↗
DOI / persistent id · from gesis org data services
Catalogue records · 2
- OAI-PMH record dbkapps.gesis.org/dbkoai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Ad… ↗
metadata API · from gesis org data services
- OAI-PMH record da-ra.de/oaip/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3… ↗
metadata API · from lifbi de
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science
Provenance · 2 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| GESIS Data Archive | oai:dbk.gesis.org:SDN/10.7802_3056 | 2 d ago | JSON v1 |
| Forschungsdatenzentrum des LIfBi | oai:oai.da-ra.de:784359 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · gesis org data services | connector:gesis_org_data_services@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · lifbi de | connector:lifbi_de@1.0.0 | |
| description | source · gesis org data services | connector:gesis_org_data_services@1.0.0 | /metadata/dc/description |
| license_text | source · lifbi de | connector:lifbi_de@1.0.0 | |
| publication_date | source · gesis org data services | connector:gesis_org_data_services@1.0.0 | |
| spatial | source · gesis org data services | connector:gesis_org_data_services@1.0.0 | |
| title | source · gesis org data services | connector:gesis_org_data_services@1.0.0 | /metadata/dc/title |