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Trauma de minería de datos: estudio cualitativo asistido por IA de la victimización cibernética en Reddit
J'Andra Antisdel1,2, Wendy R Miller1, Doyle Groves1
1Center for Enhancing Quality of Life in Chronic Illness, School of Nursing, Indiana University Indianapolis, 600 Barnhill Drive, Indianapolis, IN, 46202, United States, 1 574-703-4472.
JMIR infodemiology
|September 3, 2025
Resumen
Este estudio utilizó la minería de datos para analizar las discusiones de Reddit sobre la victimización cibernética, revelando seis temas clave, incluido el impacto psicológico y las estrategias de afrontamiento. Los resultados ponen de relieve la IA
Área de la Ciencia:
- Ciencias sociales computacionales
- Ciberpsicología
- Salud digital
Sus antecedentes:
- La cibervictimización plantea riesgos significativos, especialmente para las personas vulnerables que no son conscientes de los peligros en línea.
- Existe una investigación limitada sobre la identificación de personas en riesgo en entornos de atención médica y la comprensión de sus experiencias de cibervictimización.
- Los factores psicológicos y de desarrollo influyen en la susceptibilidad a las amenazas cibernéticas y la angustia posterior.
Objetivo del estudio:
- Para analizar las experiencias descritas por los usuarios de victimización cibernética en la plataforma de redes sociales Reddit.
- Emplear minería de datos y análisis computacional de datos no solicitados para obtener información cualitativa sobre la victimización cibernética.
Principales métodos:
- Estudio computacional cualitativo que utiliza la minería de datos y el modelado de gráficos de adyacencia de palabras (WAG).
- Análisis de 13.381 publicaciones de Reddit entre 2012 y 2023 en los subreddits de r/ciberbullying y r/bullying.
- Asistido por GPT-4 para el resumen posterior y el etiquetado de grupos, con una revisión rigurosa de la relevancia y el anonimato.
Principales resultados:
- Se identificaron 35 agrupaciones relevantes de las 38 generadas por el modelado WAG.
- Seis temas generales surgieron: impacto psicológico, afrontamiento / curación, protección en línea / fuera de línea, diversos entornos de victimización y búsqueda de comprensión.
- Un aumento significativo en las publicaciones de 2019-2023 (94,9%) en comparación con 2012-2018 (5,1%) indica la evolución de las discusiones sobre la victimización cibernética.
Conclusiones:
- La minería de datos y la IA son herramientas efectivas para el análisis cualitativo de grandes conjuntos de datos públicos.
- Los hallazgos pueden informar a futuras investigaciones sobre comportamientos de riesgo en línea y victimización.
- Los métodos pueden ayudar a desarrollar estrategias de evaluación para la victimización cibernética dentro de los entornos de atención médica.
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