Coping in Crisis: Computational Modeling of Coping Styles in Digital Crisis Discourse During the 2023 Turkiye Earthquake
arXiv:2606.14420v1 Announce Type: new Abstract: How do people cope when disaster strikes and can we detect it at scale, in real time, from what they write? This study addresses that question using over one million Turkish-language tweets posted in the aftermath of the February 6, 2023 earthquake in Turkiye, which unfolded in a deeply polarized political context just months before a national election. Drawing on Lazarus and Folkman's (1984) coping theory, we develop a multi-label BERTurk classifier to detect three coping styles (problem-focused, emotion-focused, and meaning-making) across four
This study emerges now due to the increasing availability of large-scale social media data and advancements in natural language processing techniques, particularly BERT-based models, following significant real-world events like the 2023 Turkiye earthquake.
A strategic reader should care because the ability to computationally model coping styles in real-time crisis discourse offers novel insights into societal resilience and psychological states, which can inform crisis response and public health interventions.
What changes is the potential for automated detection and analysis of collective coping mechanisms during crises, moving beyond traditional survey methods to real-time, large-scale behavioral data.
- · Crisis response organizations
- · Psychological research
- · AI/NLP developers
- · Public health authorities
- · Inefficient manual crisis assessment methods
- · Disinformation spreaders during crises
The immediate first-order effect is enhanced understanding of real-time public sentiment and coping strategies during disasters.
A plausible second-order consequence is the development of AI-driven early warning systems for public mental health crises during and after disasters.
A speculative but reasoned third-order consequence could be the implementation of personalized, AI-suggested coping resources or information delivery based on identified coping styles at scale.
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Read at arXiv cs.CL