Drivers of Digital Attention: Evidence from a Social Media Experiment

Guy Aridor*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper I report the results of an experiment where I continuously monitor how participants spend time on digital services and shut off their access to Instagram or YouTube on their phones for 1 or 2 weeks. I use the resulting data on how participants substitute their time during and after the restrictions in order to uncover a rich picture of the demand for social media and entertainment applications. I illustrate how the estimated substitution patterns can be used to guide questions of market definition that have troubled regulators.

Original languageEnglish (US)
Title of host publicationEC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation
PublisherAssociation for Computing Machinery, Inc
Pages116
Number of pages1
ISBN (Electronic)9798400701047
DOIs
StatePublished - Jul 9 2023
Event24th ACM Conference on Economics and Computation, EC 2023 - London, United Kingdom
Duration: Jul 9 2023Jul 12 2023

Publication series

NameEC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation

Conference

Conference24th ACM Conference on Economics and Computation, EC 2023
Country/TerritoryUnited Kingdom
CityLondon
Period7/9/237/12/23

Keywords

  • attention markets
  • field experiment
  • relevant markets
  • social media

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Economics and Econometrics
  • Computational Mathematics
  • Statistics and Probability

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