Shared social identity is the causal variable predicting solidarity among disaster strangers.

Evidence

Of course, collective resilient behaviours such as social support are not inevitable in emergencies and disasters, and there are many examples in the literature of pushing and other competitive behaviours in such events (Bartolucci et al., 2021; Chertkoff & Kushigian, 1999). Each of the key predictors in the social identity model of collective resilience is a variable. Thus, the model suggests that if there is little or low shared social identity among survivors, there will be less cooperation among strangers. In a study that compared experiences of participants across eleven different emergencies (including both genuine and perceived terrorist attacks), we found a range of levels of identification with the crowd among interviewees. People who reported high levels of shared social identity with others in the crowd were more likely to report common fate and engagement in solidarity behaviours than those who reported low or vague levels of shared social identity with the crowd (Drury et al., 2009b). An experiment using virtual reality technology found a similar pattern, using behavioural measures of helping (Drury, Cocking, Reicher, Burton et al., 2009). — John Drury and Evangelos Ntontis, A SOCIAL IDENTITY MODEL OF COLLECTIVE…, 26

Categorization

  • XREF: Core to the reader’s thesis: solidarity with strangers tracks measured shared identity, not an enemy — corroborates emergency social-identity research across eleven incidents plus VR experiment. — connects to: Shared emergent identity from common fate explains collective support amid disasters — John Drury, The role of social identity processes…, 15; Shared identity with a crowd increases helping and decreases pushing others aside. — John Drury, The role of social identity processes…, 56; A shared identity can emerge within a crowd only after an emergency begins. — John Drury, The role of social identity processes…, 61 (+21 more)
  • QUESTION: What exactly distinguishes high versus low shared-identity conditions that would let us engineer them? The variable nature of the predictors is the key open question.

Broader Connections