Cargando…

Humans rely more on algorithms than social influence as a task becomes more difficult

Algorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting i...

Descripción completa

Detalles Bibliográficos
Autores principales: Bogert, Eric, Schecter, Aaron, Watson, Richard T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044128/
https://www.ncbi.nlm.nih.gov/pubmed/33850211
http://dx.doi.org/10.1038/s41598-021-87480-9
_version_ 1783678420431929344
author Bogert, Eric
Schecter, Aaron
Watson, Richard T.
author_facet Bogert, Eric
Schecter, Aaron
Watson, Richard T.
author_sort Bogert, Eric
collection PubMed
description Algorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers.
format Online
Article
Text
id pubmed-8044128
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-80441282021-04-14 Humans rely more on algorithms than social influence as a task becomes more difficult Bogert, Eric Schecter, Aaron Watson, Richard T. Sci Rep Article Algorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers. Nature Publishing Group UK 2021-04-13 /pmc/articles/PMC8044128/ /pubmed/33850211 http://dx.doi.org/10.1038/s41598-021-87480-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bogert, Eric
Schecter, Aaron
Watson, Richard T.
Humans rely more on algorithms than social influence as a task becomes more difficult
title Humans rely more on algorithms than social influence as a task becomes more difficult
title_full Humans rely more on algorithms than social influence as a task becomes more difficult
title_fullStr Humans rely more on algorithms than social influence as a task becomes more difficult
title_full_unstemmed Humans rely more on algorithms than social influence as a task becomes more difficult
title_short Humans rely more on algorithms than social influence as a task becomes more difficult
title_sort humans rely more on algorithms than social influence as a task becomes more difficult
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044128/
https://www.ncbi.nlm.nih.gov/pubmed/33850211
http://dx.doi.org/10.1038/s41598-021-87480-9
work_keys_str_mv AT bogerteric humansrelymoreonalgorithmsthansocialinfluenceasataskbecomesmoredifficult
AT schecteraaron humansrelymoreonalgorithmsthansocialinfluenceasataskbecomesmoredifficult
AT watsonrichardt humansrelymoreonalgorithmsthansocialinfluenceasataskbecomesmoredifficult