Correction to "Digital traces of offline mobilization" by Smith et al. (2023)

J Pers Soc Psychol. 2024 Mar;126(3):460. doi: 10.1037/pspa0000390.

Abstract

Reports an error in "Digital traces of offline mobilization" by Laura G. E. Smith, Lukasz Piwek, Joanne Hinds, Olivia Brown and Adam Joinson (Journal of Personality and Social Psychology, 2023[Sep], Vol 125[3], 496-518). The following article is being corrected: https://doi.org/10.1037/pspa0000338. Cangxiong Chen is added as the fifth author in the byline and author note. Cangxiong Chen's ORCID ID is now included in the author note. The CRediT paragraph in the author note now includes Cangxiong Chen's supporting role for the article. The first sentence of the Hypotheses section has been revised. The phrase Good Morning has been deleted from the first paragraph of the Descriptives subsection of Study 1b. The online version of this article has been corrected. (The following abstract of the original article appeared in record 2023-45613-001.) Since 2009, there has been an increase in global protests and related online activity. Yet, it is unclear how and why online activity is related to the mobilization of offline collective action. One proposition is that online polarization (or a relative change in intensity of posting mobilizing content around a salient grievance) can mobilize people offline. The identity-norm nexus and normative alignment models of collective action further argue that to be mobilizing, these posts need to be socially validated. To test these propositions, across two analyses, we used digital traces of online behavior and data science techniques to model people's online and offline behavior around a mass protest. In Study 1a, we used Twitter behavior posted on the day of the protest by attendees or nonattendees (759 users; 7,592 tweets) to train and test a classifier that predicted, with 80% accuracy, who participated in offline collective action. Attendees used their mobile devices to plan logistics and broadcast their presence at the protest. In Study 1b, using the longitudinal Twitter data and metadata of a subset of users from Study 1a (209 users; 277,556 tweets), we found that participation in the protest was not associated with an individual's online polarization over the year prior to the protest, but it was positively associated with the validation ("likes") they received on their relevant posts. These two studies demonstrate that rather than being low cost or trivial, socially validated online interactions about a grievance are actually key to the mobilization and enactment of collective action. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Publication types

  • Published Erratum