Los cuidados algorítmicos y la mercantilización de los afectos en el bienestar digital
DOI:
https://doi.org/10.14198/fem.30902Palabras clave:
Alfabetización en bienestar mental digital, positividad performativa, trabajo emocional, emociones mercantilizadas, emodities, terapeuta por IA, tecnosolucionismo, compañía IAResumen
En años recientes, términos como «crisis de salud mental» y «epidemia de soledad» han evidenciado el creciente énfasis en el bienestar emocional. Esta tendencia ha sido mercantilizada a través de la cultura de autoayuda en redes sociales y la expansión de la industria del bienestar mental digital. En la actualidad, numerosas aplicaciones emplean herramientas que van desde chatbots hasta estudios de diario para analizar las emociones de los usuarios, ofreciendo recomendaciones personalizadas, meditaciones y contenidos de mindfulness. El presente artículo cuestiona la instrumentalización del contenido y la tecnología de bienestar mental digital como parte de un sistema más amplio que individualiza el malestar y reproduce expectativas generizadas sobre la regulación emocional. Se analiza cómo la psicología positiva y el mindfulness se utilizan para mercantilizar la positividad performativa, estigmatizando las emociones negativas. Este enfoque reduce nuestra capacidad para imaginar alternativas a la estructura de poder socioeconómica tradicional y distrae de las oportunidades reales de conexión y solidaridad. Finalmente, se explora cómo las tecnologías de bienestar mental digital emulan patrones históricos de sustitución de mujeres por objetos inanimados (p. ej., autómatas, algoritmos) mediante chatbots basados en IA generativa. Se argumenta que los «compañeros» de IA corren el riesgo de reforzar las normas patriarcales al mercantilizar los cuidados, y se hace un llamamiento a reimaginar un bienestar mental que priorice el cambio estructural sobre las soluciones digitales inmediatas (digital quick fixes). Este artículo de revisión del estado de la cuestión se fundamenta en una revisión crítica de la literatura sobre tecnologías de salud mental digital desde una perspectiva feminista, apoyada por el estudio de caso cualitativo del proyecto Well-being Struggle. El estudio de caso analiza el contenido de aplicaciones seleccionadas de bienestar mental digital a partir de una base de datos curada de contenidos de meditación y entrevistas a expertos realizadas en el marco del proyecto. Este enfoque permite que el artículo trascienda las cuestiones de eficacia para centrarse en un examen crítico de cómo se enmarcan las emociones y los cuidados dentro de los productos de salud mental digital y sus alternativas.
Financiación
This paper is an independent, self-funded study and has not received external funding. However, the case study referenced in this article, ‘Well-being Struggle,’ received funding from the Mozilla Foundation in 2023.Citas
Ahmed, S. (2010). The promise of happiness. Duke University Press. https://doi.org/10.1215/9780822392781
Anjum, G., & Aziz, M. (2024). Advancing equity in cross-cultural psychology: Embracing diverse epistemologies and fostering collaborative practices. Frontiers in Psychology, 15, Article 1368663. https://doi.org/10.3389/fpsyg.2024.1368663
Arora, P. (2019). The next billion users: Digital life beyond the West. Harvard University Press. https://doi.org/10.4159/9780674238879
Arora, P. (2024). From pessimism to promise: Lessons from the Global South on designing inclusive tech. MIT Press.
Beatty, C., Malik, T., Meheli, S., & Sinha, C. (2022, April 11). Evaluating the therapeutic alliance with a free-text CBT conversational agent (Wysa): A mixed-methods study. Frontiers in Digital Health, 4. https://doi.org/10.3389/fdgth.2022.847991
Birhane, A. (2025, September 15). The false promise of «AI for social good». Project Syndicate. https://www.project-syndicate.org/magazine/ai-for-social-good-false-promise-of-technosolutionism-by-abeba-birhane-2025-09
Borghouts, J., Eikey, E. V., De Leon, C., Schueller, S. M., Schneider, M., Stadnick, N. A., Zheng, K., & Mukamel, D. B. (2025, August 22). Characteristics associated with the use of the mindfulness meditation app Headspace in a large public health deployment: Cross-sectional survey study. JMIR Formative Research, 9, e73457. https://doi.org/10.2196/73457
Cabanas, E. (2016). Rekindling individualism, consuming emotions: Constructing «psytizens» in the age of happiness. Culture & Psychology, 22(3), 467-480. https://doi.org/10.1177/1354067X16655459
Cabanas, E. (2017). «Psytizens», or the construction of happy individuals in neoliberal societies. In E. Illouz (Ed.), Emotions as commodities: Capitalism, consumption and authenticity (pp. 173-196). Routledge. https://doi.org/10.4324/9781315210742-8
De Vos, J. (2021). A critique of digital mental health via assessing the psychodigitalisation of the COVID-19 crisis. Psychotherapy and Politics International, 19(1), Article e1582. https://doi.org/10.1002/ppi.1582
Dignum, V., Ericson, P., & Tucker, J. (2025, September 17). AI chatbots are not therapists: Reducing harm requires regulation. TechPolicy.Press. https://www.techpolicy.press/ai-chatbots-are-not-therapists-reducing-harm-requires-regulation/
Dillon, S. (2019). The Eliza effect and its dangers: From demystification to gender critique. Journal for Cultural Research, 24(1), 1-15. https://doi.org/10.1080/14797585.2020.1754642
Duke, S. (2025, May 9). Research report: Mental health in an AI world. The Hemingway Report. https://thehemingwayreport.beehiiv.com/p/research-report-mental-health-in-an-ai-world
Durkheim, É. (1912). The elementary forms of religious life (J. W. Swain, Trans.). Free Press. (Original work published 1912)
Erscoi, L., Kleinherenbrink, A., & Guest, O. (2023). Pygmalion displacement: When humanising AI dehumanises women. Academia.edu. https://doi.org/10.31235/osf.io/jqxb6
Federici, S. (1975). Wages against housework. In S. Federici (Ed.), Revolution at point zero: Housework, reproduction, and feminist struggle (pp. 15-22). PM Press.
Figueroa, C. A., Luo, T., Aguilera, A., & Lyles, C. R. (2021). The need for feminist intersectionality in digital health. The Lancet Digital Health, 3(8), e526-e533. https://doi.org/10.1016/S2589-7500(21)00118-7
Foley, T., & Woollard, J. (2019). The digital future of mental healthcare and its workforce: A report on a mental health stakeholder engagement to inform the Topol Review. Health Education England. https://learninghealthcareproject.org/the-digital-future-of-mental-healthcare-and-its-workforce-a-report-on-a-mental-health-stakeholder-engagement-to-inform-the-topol-review/
Ford, B. Q., & Mauss, I. B. (2014). The paradoxical effects of pursuing positive emotion: When and why wanting to feel happy backfires. In J. Gruber & J. T. Moskowitz (Eds.), Positive emotion: Integrating the light sides and dark sides (pp. 363-381). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199926725.003.0020
Foucault, M. (1980). Power/knowledge: Selected interviews and other writings, 1972-1977 (C. Gordon, Ed.; C. Gordon, L. Marshall, J. Mepham, & K. Soper, Trans.). Pantheon Books.
Hajizadeh, A., Amini, H., Heydari, M., & Rajabi, F. (2024). How to combat stigma surrounding mental health disorders: A scoping review of the experiences of different stakeholders. BMC Psychiatry, 24, Article 782. https://doi.org/10.1186/s12888-024-06220-1
Han, B.-C. (2015). The Burnout Society (E. Butler, Trans.). Stanford University Press. (Original work published 2010)
Haque, M. D. R., & Rubya, S. (2023). An overview of chatbot-based mobile mental health apps: Insights from app description and user reviews. JMIR mHealth and uHealth, 11, e44838. https://doi.org/10.2196/44838
Illouz, E. (Ed.). (2017). Emotions as commodities: Capitalism, consumption and authenticity. Routledge. https://doi.org/10.4324/9781315210742
Islam, M. A., & Choudhury, N. (2020, November). Mobile apps for mental health: A content analysis. Indian Journal of Mental Health, 7(3), 222-229. https://doi.org/10.30877/IJMH.7.3.2020.222-229
Joseph, A. P. (2025). Reimagining digital mental health literacy from the Global South: A call for epistemic justice and innovation equity. Frontiers in Psychiatry, 16, 1611988. https://doi.org/10.3389/fpsyt.2025.1611988
Kim, J. (2023). Data brokers and the sale of Americans' mental health data: The exchange of our most sensitive data and what it means for personal privacy. Duke University, Sanford School of Public Policy, Tech Policy Program. https://techpolicy.sanford.duke.edu/data-brokers-and-the-sale-of-americans-mental-health-data/
Leonhardt, M. (2022, April 29). 23 percent of workers say employers offer mental health benefits. Fortune. https://fortune.com/well/2022/04/29/23-percent-of-workers-say-employers-offer-mental-health-benefits/
Lerner, D., Lyson, M. C., Sandberg, E., & Rogers, W. H. (2017). The high cost of mental disorders: A blueprint for employer action to implement cost-effective care solutions. One Mind & Tufts Medical Center. https://onemind.org/publications/research-reports/the-high-cost-of-mental-disorders/
Lew, T., Dubale, N. M., Doose, E., Adenuga, A., Bates, H. E., & West, S. L. (2025). Impacts of the mindfulness meditation mobile app Calm on undergraduate students' sleep and emotional state: Pilot randomized controlled trial. JMIR Formative Research, 9, Article e66131. https://doi.org/10.2196/66131
McDonald, M., Nguyen, L. T., Nguyen, T. T. T., Tran-Kieu, N. Q., & Do, H. T.-T. (2024). Globalising positivity discourses and women. Social and Personality Psychology Compass, 18(1), e12835. https://doi.org/10.1111/spc3.12835
McElya, M. (2022, September 26). Just wear your smile: The gender politics of Positive Psychology valorize the nuclear family and heterosexual monogamy. Boston Review. https://www.bostonreview.net/articles/just-wear-your-smile/
Mental Health Foundation. (n.d.). Men and women: Statistics. https://www.mentalhealth.org.uk/explore-mental-health/statistics/men-women-statistics
Paramentic, J. (2025, June 25). Commodifying mental health: Online therapy platforms operating within a neoliberal framework. Public Intellectuals Project. https://publicintellectualsproject.humanities.mcmaster.ca/social-justice/commodifying-mental-health-online-therapy-platforms-operating-within-a-neoliberal-framework/
Parker, L., Bero, L., Gillies, D., Raven, M., Mintzes, B., Jureidini, J., & Grundy, Q. (2018). Mental health messages in prominent mental health apps. Annals of Family Medicine, 16(4), 338-342. https://doi.org/10.1370/afm.2260
Partal, S., & Smirnova, S. (2021, July). It's Time to Relax: The critical importance of digital mental health products in the context of surveillance capitalism. Temes de Disseny, 37, 38-59. https://doi.org/10.46467/TdD37.2021.38-59
Partal, S., & Smirnova, S. (2024). Well-being Struggle. https://wellbeingstruggle.com/
Phang, J., Fang, R., Malkin, N., Kelly, S., Chung, E., Dixon, L., Hölzenberger, N., Mathias, N., Riedl, M., Smilkov, D., Torres, D., Tyson, R., Wadkar, S., & Picard, R. W. (2025). Investigating affective use and emotional well-being on ChatGPT. arXiv. https://arxiv.org/abs/2504.03888
Saboor, S., Medina, A., & Marciano, L. (2024). Application of positive psychology in digital interventions for children, adolescents, and young adults: Systematic review and meta-analysis of controlled trials. JMIR Mental Health, 11, e56045. https://doi.org/10.2196/56045
Siddals, S., Torous, J., & Coxon, A. (2024). «It happened to be the perfect thing»: Experiences of generative AI chatbots for mental health. npj Mental Health Research, 3, Article 48. https://doi.org/10.1038/s44184-024-00097-4
Sorkin, D. H., Janio, E. A., Eikey, E. V., Schneider, M., Davis, K., Schueller, S. M., Stadnick, N. A., Zheng, K., Neary, M., Safani, D., & Mukamel, D. B. (2021). Rise in use of digital mental health tools and technologies in the United States during the COVID-19 pandemic: Survey study. Journal of Medical Internet Research, 23(4), e26994. https://doi.org/10.2196/26994
Spors, V., Wagner, H. G., Flintham, M., Brundell, P., & Murphy, D. (2021). Selling glossy, easy futures: A feminist exploration of commercial mental-health-focused self-care apps' descriptions in the Google Play Store. In CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-17). Association for Computing Machinery. https://doi.org/10.1145/3411764.3445500
Tomičić, A., & Gjorgjioska, M. A. (2024). Epistemic inequality in the digital era: Unpacking biases in digital mental health. Theory & Psychology, 34(6), 777-797. https://doi.org/10.1177/09593543241279131
Torous, J., Linardon, J., Goldberg, S. B., Sun, S., Bell, I., Nicholas, J., Hassan, L., Hua, Y., Milton, A., & Firth, J. (2025, May 15). The evolving field of digital mental health: Current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality. World Psychiatry, 24(2), 156-174. https://doi.org/10.1002/wps.21299
Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433
van Zyl, L. E., Gaffaney, J., van der Vaart, L., Dik, B. J., & Donaldson, S. I. (2024). The critiques and criticisms of positive psychology: A systematic review. The Journal of Positive Psychology, 19(2), 206-235. https://doi.org/10.1080/17439760.2023.2178956
Wehrwein, P. (2011, October 20). Astounding increase in antidepressant use by Americans. Harvard Health Publishing. https://www.health.harvard.edu/blog/astounding-increase-in-antidepressant-use-by-americans-201110203624
Williams, R. (1977). Marxism and literature. Oxford University Press.
World Health Organization. (2025, September 30). Mental disorders [Fact sheet]. https://www.who.int/news-room/fact-sheets/detail/mental-disorders
Xian, X., Chang, A. W.-Y., Xiang, Y.-T., & Liu, M. T. (2024). Debate and dilemmas regarding generative AI in mental health care: Scoping review. Interactive Journal of Medical Research, 13, e53672. https://doi.org/10.2196/53672
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2026 Sena Partal

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.




