Fewer but poorer: Benevolent partiality in prosocial preferences

Autor: Gabriele Paolacci, Gizem Yalcin

Publikováno v: Judgment and Decision Making, Vol 15, Pp 173-181 (2020)

A prosocial action typically provides a more sizable benefit when directed at those who have less as opposed to those who have more. However, not all prosocial acts have a direct bearing on socioeconomic disadvantage, nor does disadvantage necessaril

Externí odkaz: https://doaj.org/article/9fe66c983e9c481ca6524430c389283b

Running experiments on Amazon Mechanical Turk

Autor: Gabriele Paolacci, Jesse Chandler, Panagiotis G. Ipeirotis

Publikováno v: Judgment and Decision Making, Vol 5, Pp 411-419 (2010)

Although Mechanical Turk has recently become popular among social scientists as a source of experimental data, doubts may linger about the quality of data provided by subjects recruited from online labor markets. We address these potential concerns b

Externí odkaz: https://doaj.org/article/41c0bb2a0eae419cae045dcd429e3892

Crowdsourcing in Observational and Experimental Research

Autor: Camilla Zallot, Gabriele Paolacci, Jesse J. Chandler, Itay Sisso

A substantial fraction of the observational and experimental data collected in the social sciences is now coming from crowdsourcing platforms, and being acquainted with the characteristics and dynamics of such samples is more important than ever. Thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0276fa64c8e85786c39a2bc4b154230f
https://doi.org/10.31234/osf.io/2kjpr

How technology shapes identity-based consumer behavior

Autor: Stefano Puntoni, Gabriele Paolacci, Eugina Leung

Publikováno v: Handbook of Research on Identity Theory in Marketing, 240-254
STARTPAGE=240;ENDPAGE=254;TITLE=Handbook of Research on Identity Theory in Marketing

The authors discuss how technology helps and hinders identity-based consumption, paying special attention to the impact of technology on self-verification. They explore five technological domains: Internet, dematerialization, automation, artificial i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c6fb795d220fd73a05f78c2a9ef823e
https://pure.eur.nl/en/publications/3011213d-f78a-4697-982b-56859996e64b

Crowdsourcing Samples in Cognitive Science

Autor: Neil Stewart, Jesse Chandler, Gabriele Paolacci

Publikováno v: Trends in Cognitive Sciences, 21(10), 736-748. Elsevier Ltd.

Crowdsourcing data collection from research participants recruited from online labor markets is now common in cognitive science. We review who is in the crowd and who can be reached by the average laboratory. We discuss reproducibility and review som

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe45cf0be7a6e8e914e59c03abdb7bc
https://doi.org/10.1016/j.tics.2017.06.007