Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. Retrieved May 24, 2026, from https://4ort.xyz/entity/prospect-theory-based-crowdsourcing-for-classification-in-the-presence-of-spammers
MLA“Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prospect-theory-based-crowdsourcing-for-classification-in-the-presence-of-spammers.
BibTeX@misc{4ortxyz_prospect-theory-based-crowdsourcing-for-classification-in-the-presence-of-spammers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers}}, year = {2026}, url = {https://4ort.xyz/entity/prospect-theory-based-crowdsourcing-for-classification-in-the-presence-of-spammers}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers — https://4ort.xyz/entity/prospect-theory-based-crowdsourcing-for-classification-in-the-presence-of-spammers (retrieved 2026-05-24)
