Literature DB >> 32309892

Are you for real? Maximizing participant eligibility on Amazon's Mechanical Turk.

Hyoun S Kim1, David C Hodgins1.   

Abstract

Entities:  

Keywords:  Addiction; crowd-sourcing; eligibility; mechanical Turk; misrepresentation

Year:  2020        PMID： 32309892     DOI： 10.1111/add.15065

Source DB:  PubMed          Journal:  Addiction        ISSN： 0965-2140            Impact factor:   6.526


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  4 in total

1.  Using Crowdsourcing for Alcohol and Nicotine Use Research: Prevalence, Data Quality, and Attrition on Amazon Mechanical Turk.

Authors:  Jillian M Rung; Shahar Almog; Andrea Vásquez Ferreiro; Meredith S Berry
Journal:  Subst Use Misuse       Date:  2022-03-08       Impact factor: 2.362

2.  Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science.

Authors:  Jon Agley; Yunyu Xiao
Journal:  BMC Public Health       Date:  2021-01-07       Impact factor: 3.295

3.  Using infographics to improve trust in science: a randomized pilot test.

Authors:  Jon Agley; Yunyu Xiao; Esi E Thompson; Lilian Golzarri-Arroyo
Journal:  BMC Res Notes       Date:  2021-05-29

4.  COVID-19 Misinformation Prophylaxis: Protocol for a Randomized Trial of a Brief Informational Intervention.

Authors:  Jon Agley; Yunyu Xiao; Esi E Thompson; Lilian Golzarri-Arroyo
Journal:  JMIR Res Protoc       Date:  2020-12-07
  4 in total

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