Abstract
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.
Published Version
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