Intensification or diversification: responses by anti health-pass entrepreneurs to French government announcements.

We study the extent to which French entrepreneurs mobilized in an online collective action against the generalization of the health-pass policy in summer 2021. We document the dynamics of registrations on the website Animap.fr where entrepreneurs could claim they would not check the health-pass of their clients. We first note an over-representation of complementary and alternative medicine practitioners among the mobilized people. We also suggest that professionals related to the touristic industry mobilized on the website. Second, we show that the government announcements led to an increase in the mobilization. However, they did not affect the diversity of the entrepreneurs joining the action. This lack of diversity may have restricted the pool of potential participants as well as limited the identification of the "public opinion" to the mobilization.

Fighting inequalities in times of pandemic: The role of politicized identities and interdependent self-construal in coping with economic threat.

During the COVID-19 pandemic, institutions encouraged social isolation and non-interaction with other people to prevent contagion. Still, the response to an impending economic crisis must be through the collective organization. In this set of pre-registered studies, we analyse two possible mechanisms of coping with collective economic threats: shared social identity and interdependent self-construction. We conducted three correlational studies during the pandemic in May-October 2020 (Study 1, N = 363; Study 2, N = 250; Study 3, N = 416). Results show that shared identity at two levels of politicization (i.e., working-class and 99% identities) and interdependent self-construal mediated the relationship between collective economic threat, intolerance towards economic inequality and collective actions to reduce it. The results highlight that the collective economic threat can reinforce the sense of community-either through the activation of a politicized collective identity, such as the working class or the 99% or through the activation of an interdependent self-which in turn can trigger greater involvement in the fight against economic inequality. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement.

People don't give up on pandemic: social protest during lockdown in Cali

This article studies the modalities of social protests that Calelio citizens deployed during the implementation of restrictive measurements of confinement to combat Covid 19 from 17 March to 31 August 2020. The article focuses on describing four aspects of the social protests. First, it describes the collective actors involved in the protest. Second, it analyzes the repertoire of collective actions that calefio citizens developed during the restrictive measurements. Third, it identifies the geographic distributions of the protests;and fourth, its rhythms.

Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions.

The outbreak of COVID-19 has greatly threatened global public health and produced social problems, which includes relative online collective actions. Based on the life cycle law, focusing on the life cycle process of COVID-19 online collective actions, we carried out both macro-level analysis (big data mining) and micro-level behaviors (Agent-Based Modeling) on pandemic-related online collective actions. We collected 138 related online events with macro-level big data characteristics, and used Agent-Based Modeling to capture micro-level individual behaviors of netizens. We set two kinds of movable agents, Hots (events) and Netizens (individuals), which behave smartly and autonomously. Based on multiple simulations and parametric traversal, we obtained the optimal parameter solution. Under the optimal solutions, we repeated simulations by ten times, and took the mean values as robust outcomes. Simulation outcomes well match the real big data of life cycle trends, and validity and robustness can be achieved. According to multiple criteria (spans, peaks, ratios, and distributions), the fitness between simulations and real big data has been substantially supported. Therefore, our Agent-Based Modeling well grasps the micro-level mechanisms of real-world individuals (netizens), based on which we can predict individual behaviors of netizens and big data trends of specific online events. Based on our model, it is feasible to model, calculate, and even predict evolutionary dynamics and life cycles trends of online collective actions. It facilitates public administrations and social governance.

Inequalities and identity processes in crises: Recommendations for facilitating safe response to the COVID-19 pandemic.

Structural inequalities and identity processes are pivotal to understanding public response to COVID-19. We discuss how identity processes can be used to promote community-level support, safe normative behaviour, and increase compliance with guidance. However, we caution how government failure to account for structural inequalities can alienate vulnerable groups, inhibit groups from being able to follow guidance, and lead to the creation of new groups in response to illegitimate treatment. Moreover, we look ahead to the longitudinal impacts of inequalities during pandemics and advise government bodies should address identity-based inequalities to mitigate negative relations with the public and subsequent collective protest.