Adam-Troian, J ORCID: https://orcid.org/0000-0003-2285-4114, Bonetto, E and Arciszewski, T (2021) “We Shall Overcome”: First-Person Plural Pronouns From Search Volume Data Predict Protest Mobilization Across the United States. Social Psychological and Personality Science, 12 (8). pp. 1476-1485.

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Abstract

<jats:p> Collective action is a key driver of social and political change within societies. So far, the main factor mobilizing individuals into collective action remains the extent to which they feel identified with a protesting group (i.e., social identification). Although the link between social identification and collective action is well-established, current evidence relies mostly on self-report data. To tackle this issue, we combined real-life protest counts in the United States (2017–2020) with online search data (Google Trends) for pronouns indicating a “group” mind-set (first-person plural pronouns; e.g., “we,” “us”). Time series analyses indicated that weekly fluctuations in searches ( N = 164) predict both protest and protester counts over time. Confirmatory mixed models then showed that a 1% increase in pronoun searches was linked with +13.67% protests (95% CI [4.02, 23.32]) and +47.45% protesters (95% CI [26.54, 68.36]) the following week. These original results have important implications for the ecological study and quantification of collective action dynamics in psychology. </jats:p>

Item Type: Article
Additional Information: The final published version of this article and all relevant information related to it can be found on the publisher website at; https://journals.sagepub.com/doi/abs/10.1177/1948550620987672?journalCode=sppa
Subjects: B Philosophy. Psychology. Religion > BF Psychology
E History America > E11 America (General)
E History America > E151 United States (General)
H Social Sciences > H Social Sciences (General)
H Social Sciences > HT Communities. Classes. Races
Divisions: Faculty of Natural Sciences > School of Psychology
Depositing User: Symplectic
Date Deposited: 15 Oct 2021 11:27
Last Modified: 15 Oct 2021 11:27
URI: https://eprints.keele.ac.uk/id/eprint/9993

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