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http://dx.doi.org/10.1177/1403494808095222 | DOI Listing |
PLoS One
December 2024
Department of Journalism and Communication, Lehigh University, Bethlehem, PA, United States of America.
Community firearm violence (CFV), including fatal and non-fatal shootings that result from interpersonal violence, disproportionately harms people from marginalized racial groups. News reporting on CFV can further exacerbate these harms. However, examining the effects of harmful news reporting on CFV on individuals, communities, and society is hindered by the lack of a consensus definition of harmful reporting on CFV.
View Article and Find Full Text PDFEur J Psychotraumatol
December 2024
Posttraumatic Growth Center, Department of Psychiatry, Kangnam Sacred Heart Hospital, Hallym University Medical Center, Seoul, Republic of Korea.
The 2014 Sewol ferry disaster is the only South Korean mass casualty incident broadcasted in real time and the first instance of the nation collectively experiencing a disaster through social media. Compared to the large body of literature on disaster media as a stressor, its role as a coping tool remains underexplored. We explored the associations between coping styles in disaster media use and the psychological impact of the Sewol ferry disaster among the South Korean general public.
View Article and Find Full Text PDFHeliyon
November 2024
Department of Mental Health, School of Behavioral Sciences and Mental Health (Tehran institute of psychiatry), Iran University of Medical Sciences, Tehran, Iran.
Objective: Due to the importance of monitoring social networks to categorize domestic violence content and extract practical knowledge for conducting preventive interventions, as well as analyzing the extensive Persian textual content related to domestic violence generated in social networks following the COVID-19 pandemic, primarily, this research aims to create the best domestic violence Persian textual content classification model using topic modeling content at first and then combining algorithms using ensemble learning to achieve the best model performance.
Method: By collecting Persian textual data using hashtags related to domestic violence equally and randomly from Telegram, Twitter, and Instagram networks between April 2020 and April 2023, the content were considered for topic modeling using the LDA algorithm. By extracting the probabilities of each topic for each document in our dataset, we considered the topic that had the highest probability to be a label for that document.
Indian J Psychol Med
September 2024
Dept. of Clinical Psychology, Faculty of Behavioural and Social Sciences, SGT University, Gurugram, Haryana, India.
Background: One of the noblest professions is medicine, which comprises ancillary services, medical students, and other paramedics. The challenges faced by the medical fraternity are infinite and uncertain.
Aim: This study aims to thoroughly understand the professional challenges faced by medical professionals that can lead to mental health issues.
Georgian Med News
October 2024
3College of Experience Industry, Anhui Polytechnic University, Wuhu, China.
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