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AI model analyzes coping styles in Turkish earthquake tweets

Researchers have developed a computational model using BERTurk to analyze coping styles in Turkish-language tweets following the 2023 Turkiye earthquake. The model successfully identified three coping styles—problem-focused, emotion-focused, and meaning-making—achieving a macro F1 score of 0.693. Analysis of over one million tweets revealed distinct temporal patterns in coping mechanisms, with problem-focused coping prevalent in the immediate aftermath and meaning-making increasing over time. The study suggests that anger is strongly correlated with meaning-making, potentially serving as a catalyst for blame attribution. AI

IMPACT This research demonstrates the potential for AI to analyze crisis communication, aiding humanitarian efforts by understanding population needs.

RANK_REASON The cluster describes an academic paper detailing a new computational model for analyzing discourse.

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AI model analyzes coping styles in Turkish earthquake tweets

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · \c{S}evval \c{C}ak{\i}c{\i} ·

    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,…

  2. arXiv cs.CL TIER_1 English(EN) · Şevval Çakıcı ·

    Coping in Crisis: Computational Modeling of Coping Styles in Digital Crisis Discourse During the 2023 Turkiye Earthquake

    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…