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Comprender las percepciones de los usuarios sobre DeepSeek: perspectivas del análisis de sentimientos, temas y redes
Naisarg Patel1, Rajesh Sharma2,3, Prakash Lingasamy4,5
1Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Frontiers in artificial intelligence
|January 22, 2026
Resumen
El discurso público sobre el modelo de IA generativa de código abierto chino DeepSeek revela un sentimiento predominantemente positivo, y los usuarios discuten sus capacidades, compatibilidad y comparaciones con ChatGPT. También surgieron preocupaciones sobre la censura y la privacidad, lo que pone de relieve las tensiones globales en el desarrollo de la IA.
Área de la Ciencia:
- Inteligencia Artificial; Ciencias Sociales Computacionales; Sistemas Sociotécnicos
Sus antecedentes:
- El lanzamiento de DeepSeek, un modelo de IA generativa de código abierto chino, provocó una importante discusión pública.; El subreddit r/deepseek sirvió como plataforma principal para evaluar las capacidades del modelo de IA y sus implicaciones sociales.
Objetivo del estudio:
- Analizar las percepciones sociotécnicas en torno a DeepSeek examinando el discurso en línea.; Comprender el sentimiento público, las emociones y los temas clave relacionados con la integración de sistemas emergentes de IA.
Principales métodos:
- Análisis de 46 492 publicaciones y comentarios de r/deepseek (enero-mayo de 2025).; Se utilizó el análisis de sentimientos VADER, la clasificación de emociones de Hartmann, el modelado BERTopic, la extracción de hipervínculos y el análisis de redes.; Se correlacionaron las puntuaciones de sentimiento/emoción con los temas dominantes y los patrones de participación de la comunidad.
Principales resultados:
- Sentimiento predominantemente positivo (47,23 % de publicaciones, 44,26 % de comentarios), con sorpresa, neutralidad y miedo como emociones clave.; Los temas principales incluyeron IA de código abierto, uso de DeepSeek, compatibilidad de dispositivos, comparaciones con ChatGPT y preocupaciones sobre la censura.; Los hipervínculos apuntaban a GitHub, Hugging Face y servicios de DeepSeek; el análisis de redes identificó los 'Modelos de IA de código abierto' como un clúster cohesivo.
Conclusiones:
- La percepción de la comunidad enmarcó a DeepSeek tanto como una herramienta técnica como una entidad geopolítica.; El entusiasmo por el rendimiento de DeepSeek y su naturaleza de código abierto contrastó con las preocupaciones sobre la censura, la privacidad y la influencia ideológica.; La percepción colectiva evolucionó a través del diálogo descentralizado, reflejando tensiones más amplias en el desarrollo global de la IA con respecto a la apertura, la confianza y la legitimidad.
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