Das hört sich an wie der Mechanical Turk , den Amazon schon seit Jahrzehnten anbietet, nur halt zusätzlich massiv Ressourcen und die Welt verbrennt.
https://www.mturk.com/

Wenn KI-Agenten Menschen brauchen | tagesschau.de
https://www.tagesschau.de/wissen/technologie/ki-agenten-100.html

#mturk #MechanicalTurk

Amazon Mechanical Turk

I forgot to share the #mTurk data quality result that got scooped:

“In late 2020…. Participants from the United States were recruited from Amazon Mechanical Turk, -#CloudResearch, #Prolific, and a #university. One participant source yielded up to 18 times as many low-quality respondents as the other three.”

https://doi.org/10.1093/analys/anaf015

#psychology #philosophy #surveyMethods #quantMethods #dataScience #qualityControl

New #surveyMethods paper replicates and extends differences in #dataQuality, attention, naivety, decision style, etc. by
- online #research recruitment platform (#mTurk, #Prolific, #Qualtrics, #Pollfish)
- device (#mobile v. #desktop)
- person's incentive

https://doi.org/10.3758/s13428-025-02618-1

Evaluating mobile-based data collection for crowdsourcing behavioral research - Behavior Research Methods

Online crowdsourcing platforms such as MTurk and Prolific have revolutionized how researchers recruit human participants. However, since these platforms primarily recruit computer-based respondents, they risk not reaching respondents who may have exclusive access or spend more time on mobile devices that are more widely available. Additionally, there have been concerns that respondents who heavily utilize such platforms with the incentive to earn an income provide lower-quality responses. Therefore, we conducted two studies by collecting data from the popular MTurk and Prolific platforms, Pollfish, a self-proclaimed mobile-first crowdsourcing platform, and the Qualtrics audience panel. By distributing the same study across these platforms, we examine data quality and factors that may affect it. In contrast to MTurk and Prolific, most Pollfish and Qualtrics respondents were mobile-based. Using an attentiveness composite score we constructed, we find mobile-based responses comparable with computer-based responses, demonstrating that mobile devices are suitable for crowdsourcing behavioral research. However, platforms differ significantly in attentiveness, which is also affected by factors such as the respondents’ incentive for completing the survey, their activity before engaging, environmental distractions, and having recently completed a similar study. Further, we find that a stronger system 1 thinking is associated with lower levels of attentiveness and acts as a mediator between some of the factors explored, including the device used and attentiveness. In addition, we raise a concern that most MTurk users can pass frequently used attention checks but fail less utilized measures, such as the infrequency scale.

SpringerLink

🎉 In press: Reflection-#Philosophy Order Effects & Correlations Across Samples

Thought experiments caused reflective decisions?
Reflection tests didn't change philosophical decisions!
18X more junk data from #mTurk (vs other sources)!

#Preprint + audio: https://byrdnick.com/archives/28438/upon-reflection-ep-13-reflection-philosophy-order-effects-and-correlations-across-samples

"Without crowdsourcing, manually reviewing and labeling thousands of images like this would take days or weeks. With #MTurk you can get it done in a few hours."
https://blog.mturk.com/tutorial-how-to-label-thousands-of-images-using-the-crowd-bea164ccbefc

Regardez cette page, ça ressemble à la promotion d'un service informatique comme un autre. Mais contrairement aux autres, c'est du nouvel esclavagisme numérique.

C'est pas nouveau dans l'absolu mais je trouve ça fascinant de cynisme comment une personne lambda peux déclencher un ordre d'exploitation néo coloniale avec un simple clic, tout ça pour tagger ses photos de vacances ou pour des libristes qui voudraient développer des modèles de #llm open source *ha ha je ris jaune*

Tutorial: How to label thousands of images using the crowd

Amazon Mechanical Turk (MTurk) is great for crowdsourcing tasks using images. Requesters regularly ask Workers to do everything from transcribing text in images to labeling or categorizing them…

Happenings at MTurk

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Excited to share YEARS of research about how to get people to think reflectively and how reflection impacts philosophical judgments at the 2025 #APA in #NewYorkCity (January 8 to 11): https://www.apaonline.org/mpage/2025eastern

Can't make it?
- More about my talk: https://researchgate.net/publication/370132037
- More about my poster: https://researchgate.net/publication/371248872

Thanks to the #APA, James Beebe, and the Experimental Philosophy Society for the opportunity!

#decisionScience #philosophy #xPhi #epistemology #bioethics #cognitiveScience #mTurk #Prolific #UniversityParticipants #surveyMethods #DualProcessTheory

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MTurk Hit Catcher | Amazon Mechanical Turk | BZTurk

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