dc.creatorBello, Hugo J.
dc.creatorPalomar-Ciria, Nora
dc.creatorLozano, Celia
dc.creatorGutiérrez-Alonso, Carlos
dc.creatorBaca-García, Enrique
dc.date2023-12-19T18:53:41Z
dc.date2023-12-19T18:53:41Z
dc.date2024
dc.date.accessioned2024-05-02T20:31:57Z
dc.date.available2024-05-02T20:31:57Z
dc.identifierhttp://repositorio.ucm.cl/handle/ucm/5141
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9275326
dc.descriptionBackground and objectives Suicide is a major public health concern, media can influence its awareness, contagion, and prevention. In this study, we evaluated the relationship between the COVID-19 pandemic and suicide in media coverage through Natural Language Processing analysis (NPL). Methods To study how suicide is depicted in news media, Artificial Intelligence and Big Data techniques were used to analyze news and tweets, to extract or classify the topic to which they belonged. Results A granger causality analysis showed with significant p-value that an increase in covid news at the beginning of the pandemic explains a later rise in suicide-related news. An analysis based on correlation and structural causal models show a strong relationship between the appearance of subjects “health” and “covid”, and also between “covid” and “suicide”. Conclusions Our analysis also uncovers that the inclusion of suicide-related news in the category health has grown since the outbreak of the pandemic. The COVID-19 pandemic has posed an inflection point in the way suicide-related news are reported. Our study found that the increased media attention on suicide during the COVID-19 pandemic may indicate rising social awareness of suicide and mental health, which could lead to the development of new prevention tools.
dc.languageen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourceEuropean Journal of Psychiatry, 38(1), 100227
dc.subjectSuicide
dc.subjectPublic health
dc.subjectBig data
dc.subjectTopic classification
dc.subjectMachine learning
dc.titleExamining the relationship between COVID-19 and suicide in media coverage through natural language processing analysis
dc.typeArticle


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