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Publication
Tweetando tragédia: Uma análise qualitativa-quantitativa de expressões de avaliação durante o incêndio de Pedrógão Grande
Advisor(s)
Abstract(s)
Em 2017, um fogo catastrófico destruiu parte do município de Pedrógão Grande, resultando em danos físicos e psicológicos para os habitantes, consequente da impreparação para este evento extremo catastrófico, inesperado e potencialmente stressante. Demonstrou-se assim a necessidade de incrementar o potencial de adaptação e resiliência psicossocial dos cidadãos face a eventos futuros, estudando a forma como avaliam e respondem a estes eventos. Particularmente, importa identificar indicadores dos recursos que os indivíduos percecionam ter disponíveis (pessoais e sociais) para lidar com as exigências pessoais e contextuais percebidas (perigo, esforço, incerteza) induzidas por uma situação de catástrofe. Com este fim, propôs-se um sistema de codificação e correspondente análise qualitativa-quantitativa de dados recolhidos a partir do Twitter durante a ocorrência dos eventos. As categorias identificadas derivaram de critérios referentes ao nível de abstração (Recursos - concreto vs. Exigências - abstrato) e valência (positiva vs. negativa), bem como o alvo da avaliação – contexto vs. Self. Os resultados agregados da amostra mostraram uma menor frequência de indicadores de recursos de valência positiva do que exigências de valência negativa, configurando um rácio Recursos/Exigências indicador de uma avaliação global do evento mais como ameaça, do que um desafio (recursos < exigências), durante a ocorrência deste. A partir deste tipo de estudos, poderão ser fundamentadas estratégias e abordagens preventivas mais eficazes, baseadas na evidência, com vista à promoção da resiliência dos cidadãos face a situações futuras de catástrofe e emergência social, com vista à promoção da avaliação destes eventos mais como um desafio, do que como uma ameaça.
In the year of 2017, a forest fire ravaged the municipality of Pedrógão Grande, which resulted in physical and psychological damage to its inhabitants, due to poor prevention of this type of extreme catastrophic, unexpected and potentially stressing event. As such, arose the necessity to increase citizen’s adaptive potential and resilience towards future events, by studying the way in which they evaluate and respond to such events. Particularly, it is relevant to identify indicators of their perceived resources availability (individual and social) to cope with personal and situational demands (danger, uncertainty, effort) induced by the catastrophe. To this end, we proposed a coding system and its correspondent qualitative-quantitative analysis of data collected through Twitter, during the fire of Pedrógão Grande. The identified categories derived from criteria related to the abstraction level (Resources - concrete vs Demands - abstract) and valence (positive vs negative) criteria, as well as the appraisal target – context vs self. The aggregated results of the collected sample, showed a low frequency in indicators of positively evaluated resources when compared to negatively evaluated demands. This configured Resources/Demands ratio representing a more global threat appraisal rather than a challenge appraisal (resources < demands), during the event. These kinds of studies may enable more efficient evidence-based preventive strategies and approaches, which in the long run aim to promote citizen resilience when faced with catastrophes and social emergency situations, in order to promote a challenge appraisal of these events, rather than a threat one.
In the year of 2017, a forest fire ravaged the municipality of Pedrógão Grande, which resulted in physical and psychological damage to its inhabitants, due to poor prevention of this type of extreme catastrophic, unexpected and potentially stressing event. As such, arose the necessity to increase citizen’s adaptive potential and resilience towards future events, by studying the way in which they evaluate and respond to such events. Particularly, it is relevant to identify indicators of their perceived resources availability (individual and social) to cope with personal and situational demands (danger, uncertainty, effort) induced by the catastrophe. To this end, we proposed a coding system and its correspondent qualitative-quantitative analysis of data collected through Twitter, during the fire of Pedrógão Grande. The identified categories derived from criteria related to the abstraction level (Resources - concrete vs Demands - abstract) and valence (positive vs negative) criteria, as well as the appraisal target – context vs self. The aggregated results of the collected sample, showed a low frequency in indicators of positively evaluated resources when compared to negatively evaluated demands. This configured Resources/Demands ratio representing a more global threat appraisal rather than a challenge appraisal (resources < demands), during the event. These kinds of studies may enable more efficient evidence-based preventive strategies and approaches, which in the long run aim to promote citizen resilience when faced with catastrophes and social emergency situations, in order to promote a challenge appraisal of these events, rather than a threat one.
Description
Dissertação de Mestrado apresentada no ISPA- Instituto Universitário para obtenção de grau de Mestre na especialidade de Psicologia da Saúde.
Keywords
Incêndios rurais Stresse e coping Appraisal Twitter Resiliência psicossocial Forest Fires Psychosocial resilience