Calidad de la evidencia 4.88/5
Puntuación de revisión en ocho dimensiones según la rúbrica de calidad . Cada dimensión puntuada de 1 a 5.
- D1 Anclaje en las fuentes
- 5/5
- D2 Autoridad de las fuentes
- 5/5
- D3 Aritmética
- 5/5
- D4 Incertidumbre
- 5/5
- D5 Alcance
- 5/5
- D6 Prosa
- 5/5
- D7 Honestidad sobre la percepción
- 4/5
- D8 Completitud de las advertencias
- 5/5
Cómo varía el riesgo
La cifra principal promedia situaciones muy diferentes. Así es como varía la probabilidad según el escenario o el contexto:
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No reliable per-user probability can be assigned. Correlational studies find small negative associations with well-being (r ≈ 0.035-0.15), but these are measured on continuous scales, not as binary harm incidence. For the typical teen user at moderate usage levels, the population-level effect size is too small and too heterogeneous to convert into a meaningful individual risk number.
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Heavy use is associated with larger negative effects in most studies, but the dose-response curve is inconsistent across datasets and may reflect reverse causation (teens who are already struggling use social media more). No study has produced a reliable incidence rate for clinical-level harm among heavy users specifically.
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The largest documented subgroup effects in the literature. Facebook/Instagram internal research (2021) and several external studies find that girls with pre-existing internalising symptoms report the most negative experiences. Effect sizes are larger than the population average but still measured on well-being scales rather than as binary harm rates. This is the subgroup where the case for a clinically meaningful effect is strongest and where a per-user probability would be most useful — but the evidence does not yet support one.
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Most studies find smaller or null associations between social media use and well-being outcomes in boys compared to girls. Some studies find positive associations with social connection. The gender difference is one of the more consistent findings in the literature, though it may partly reflect differences in platform use patterns (visual comparison-based content vs. gaming/interest-based content) rather than a biological sex difference.
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A distinct and newer exposure from feed-based social media. Common Sense Media (2025) found 72% of US teens have used an AI companion and about half use them regularly, but adoption rate is not a harm rate. The hypothesised mechanism — a private, always-available, sycophantic chat that can isolate a teen and fail to interrupt an escalating crisis — is drawn from individual cases (the Sewell Setzer III suicide and Garcia v. Character.AI; the OpenAI/Adam Raine case) and litigation now settling (the Google/Character.AI settlement in principle, January 2026), not from any cohort study with an incidence rate. No reliable per-user probability exists for crisis or self-harm outcomes tied to companion-bot use; the evidence base is adoption surveys and case reports, not population data.
La longitud y el tono de la barra clasifican estos escenarios entre sí, no frente a otros riesgos. Las probabilidades exactas se muestran junto a cada uno.
Decisiones que informa este riesgo
Elecciones que dependen de este riesgo: cómo se sopesa el equilibrio.
Acceso del niño a redes sociales
% que se arrepienten de esta elección
Acción dominante
Arrepentimiento por acción 5.4× mayor
Smartphone para niño: ¿cuándo?
% que se arrepienten de esta elección
Acción dominante
Arrepentimiento por acción 13.0× mayor
Elige el contrincante
Esta entrada lleva la etiqueta no_reliable_estimate, y la razón merece ser explicada: la literatura de investigación sobre redes sociales y salud mental adolescente ha producido miles de estudios, múltiples advertencias gubernamentales y al menos un libro superventas, pero no ha producido una probabilidad defendible por usuario de “daño psicológico grave”. Los análisis correlacionales más potentes —el estudio de curva de especificación de Orben y Przybylski de 2019 en más de 350,000 adolescentes, y las revisiones posteriores a 2023 sintetizadas por Odgers y Jensen— encuentran asociaciones en el rango de r = 0.035 a r = 0.15. Esos números no son cero. Tampoco son lo suficientemente grandes como para convertirlos en una afirmación significativa como “1 de cada X adolescentes sufrirá un daño grave”. Las medidas de resultado son escalas continuas de bienestar, no umbrales de daño binarios, y la brecha entre “puntuó ligeramente más bajo en un cuestionario de satisfacción vital” y “desarrolló un trastorno de ansiedad clínica debido a Instagram” es una que los datos no pueden salvar.
La brecha de percepción aquí se mueve en una dirección inusual. La Advertencia del Cirujano General de EE. UU. de 2023 —el documento individual más autorizado sobre el tema— afirma explícitamente que “todavía no tenemos suficiente evidencia para determinar que las redes sociales son suficientemente seguras para niños y adolescentes”. Ese encuadre, combinado con la filtración de investigación interna de Facebook/Instagram y “The Anxious Generation” de Haidt, ha llevado la intuición pública a tratar las redes sociales como un peligro claro y presente para la mayoría de los adolescentes. La literatura correlacional apoya una afirmación más débil: existe una asociación real pero pequeña a nivel poblacional, con efectos mayores concentrados en subgrupos específicos (niñas de 13 a 15 años, adolescentes con síntomas internalizantes preexistentes, usuarios intensivos de más de 3-4 horas diarias). Si esos efectos de subgrupo constituyen una crisis causal de salud mental o reflejan causalidad inversa y factores de confusión es la pregunta central abierta, y la respuesta honesta en 2026 es que el campo no la ha resuelto.
Donde el número importaría más —para el padre de una niña de 14 años que ya tiene ansiedad y pasa cuatro horas al día en Instagram— es precisamente donde la evidencia es más sugerente y menos precisa. La investigación interna de Facebook encontró que el 32% de las adolescentes que ya se sentían mal con sus cuerpos dijeron que Instagram lo empeoraba, pero “sentirse peor” en una encuesta interna no es lo mismo que “desarrollar una condición diagnosticable”, y la encuesta no fue representativa de la población. Hasta que el campo acuerde una definición de resultado clínico y lo mida prospectivamente en una gran cohorte representativa, esta entrada seguirá marcada como sin estimación fiable. Eso no es una afirmación de que las redes sociales sean seguras. Es una afirmación de que la evidencia, tal como está, no respalda un número específico.
Datos curiosos relacionados
Dano de redes sociales en adolescentes: no hay estimacion causal fiable pese a anos de estudio. Acoso escolar en grados 6-12: 65%. El panico moral sin evidencia recibe audiencias en el Congreso. La epidemia medida recibe carteles en el pasillo.
54% de los padres que dejaron que su hijo abriera cuentas en redes sociales se arrepienten. Entre los padres que retrasaron o bloquearon el acceso, la tasa estimada de arrepentimiento es de alrededor del 10%.
Registro de evidencia
Cada número a continuación es lo que reportó cada fuente, con la cita textual en la que nos basamos y cómo llegamos a nuestra cifra. Haz clic en cualquier enlace para verificarlo directamente.
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[1] Office of the U.S. Surgeon General (2023) — Social Media and Youth Mental Health: The U.S. Surgeon General's Advisory
Social Media and Youth Mental Health: The U.S. Surgeon General's Advisory- Estadística
The advisory states there is 'not enough evidence to determine that social media is sufficiently safe for children and adolescents' and calls for urgent action, while noting the evidence base is insufficient to establish causation or quantify per-user risk- Extracto
“"We do not yet have enough evidence to determine that social media is sufficiently safe for children and adolescents." ”
- Datos de la fuente de
- 2023-05-23
- Accedido
- 2026-04-18 · copia archivada
- Cálculo
- The Surgeon General's Advisory is the highest-profile US government statement on teen social media risk. It is cited here as an authoritative framing document, not as a source of a specific probability. The advisory explicitly avoids stating a per-user risk figure and notes the evidence base is insufficient to determine whether social media is safe. It summarises the correlational literature and calls for more research, platform transparency, and legislative action. No native or normalized probability is derived from this source because the entry is flagged no_reliable_estimate.
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[2] Nature Human Behaviour (Orben & Przybylski 2019) — The association between adolescent well-being and digital technology use
The association between adolescent well-being and digital technology useSee all 2 Likelier entries citing this source →
- Estadística
Across three large-scale datasets (total N > 350,000), the association between digital technology use and adolescent well-being was negative but small: r = −0.035 for social media use specifically, explaining about 0.4% of the variance in well-being — less than the negative association with wearing glasses or eating potatoes- Extracto
“"The negative effect of technology use on adolescent well-being is small — explaining at most 0.4% of the variation in well-being." ”
- Datos de la fuente de
- 2019-01-14
- Accedido
- 2026-04-18 · copia archivada
- Cálculo
- Orben & Przybylski 2019 is the most-cited methodological counterweight to the crisis narrative. The specification-curve analysis across all defensible analytic choices produces effect sizes that are statistically significant (large N) but tiny in practical terms. r = −0.035 for social media use means the association explains roughly 0.12% of the variance in well-being. This is not zero, but it is far too small to convert into a per-user probability of "serious psychological harm" — the outcome variable is a continuous well-being scale, not a binary harm threshold. This source is the primary basis for the no_reliable_estimate designation: the effect is real but not meaningfully translatable into individual risk.
- Independencia
- Fully independent of the Surgeon General's Advisory and the Facebook internal research. Uses UK Understanding Society, YRBS, and MCS datasets.
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[3] American Psychological Association (2023) — Health Advisory on Social Media Use in Adolescence
Health Advisory on Social Media Use in AdolescenceSee all 2 Likelier entries citing this source →
- Estadística
The APA identifies social media as neither uniformly beneficial nor uniformly harmful, and notes that effects depend on the content, the adolescent's individual characteristics, and the amount of time spent; it provides no per-user probability of harm- Extracto
“"Science demonstrates that social media use, in and of itself, is not sufficient to be helpful or harmful to young people." ”
- Datos de la fuente de
- 2023-05-09
- Accedido
- 2026-04-18 · copia archivada
- Cálculo
- The APA health advisory is included as a second authoritative institutional statement. Like the Surgeon General's Advisory, it summarises the correlational literature without producing a probability figure. Its key contribution to this entry is the explicit statement that social media use "in and of itself" is insufficient to cause harm — effects depend on content type, individual vulnerability, and usage patterns. This supports the no_reliable_estimate framing: there is no single population-level probability that applies to "a teenager using social media."
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[4] Wall Street Journal (Wells, Horwitz, Seetharaman 2021) — Facebook Knows Instagram Is Toxic for Teen Girls, Company Documents Show
Facebook Knows Instagram Is Toxic for Teen Girls, Company Documents Show- Estadística
Internal Facebook research found that 32% of teen girls surveyed said Instagram made them feel worse about their body when they already felt bad about it; the research also found Instagram was cited as a contributor to anxiety and depression in a subset of teen users- Extracto
“"Thirty-two percent of teen girls said that when they felt bad about their bodies, Instagram made them feel worse." ”
- Datos de la fuente de
- 2021-09-14
- Accedido
- 2026-04-18 · copia archivada
- Cálculo
- The WSJ Facebook Files series leaked internal Instagram research that became the public catalyst for legislative and regulatory action. The "32% of teen girls" figure is widely cited but refers to a specific question — "when you already feel bad about your body, does Instagram make it worse?" — not to a base rate of developing a clinical condition. The leaked research used convenience-sampled internal surveys, not population-representative methods, and "felt worse" is a subjective self-report, not a clinical diagnosis of serious psychological harm. Included because it drove the public perception shift, not because it anchors a probability.
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[5] Journal of Child Psychology and Psychiatry (Odgers & Jensen 2020) — Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions
Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions- Estadística
Synthesising six prior reviews/meta-analyses plus large-scale preregistered cohort and momentary-assessment studies, the review finds the link between digital technology use and adolescent mental health to be a mix of conflicting small positive, negative, and null associations (e.g. Huang 2017 meta-analysis r = −0.07 overall, depression r ≈ −0.11; McCrae 2017 r = 0.13), with no support for causal claims at the population level- Extracto
“"At present, narrative reviews and meta-analytic work do not support causal claims, or even strong and consistent correlational patterns, linking adolescents' digital technology usage with mental health problems." ”
- Datos de la fuente de
- 2020-01-17
- Accedido
- 2026-04-18 · copia archivada
- Cálculo
- Odgers & Jensen 2020 (J Child Psychol Psychiatry Annual Research Review) synthesises three evidence streams: narrative reviews and meta-analyses (2014-2019), large-scale preregistered cohort studies, and intensive longitudinal / ecological-momentary-assessment studies. Across them the reported associations are small and inconsistent in direction — the Huang (2017) meta-analysis (N = 19,652) found a mean SNS-well-being correlation of r = −0.07 (depression r ≈ −0.11), and the McCrae (2017) meta-analysis found r = 0.13 for depressive symptoms. The review's key contribution to this entry is its conclusion that the evidence base does not support causal claims, "or even strong and consistent correlational patterns," and does not warrant the widespread panic — while the outcome measures remain continuous well-being and symptom scales, not binary harm thresholds. (Earlier drafts of this entry mis-cited this review under a Clinical Psychological Science DOI that in fact resolves to Vuorre & Przybylski 2023, "Global Well-Being and Mental Health in the Internet Age" — a separate paper; the identifier was corrected to the real Odgers & Jensen 2020 DOI 10.1111/jcpp.13190 in 2026.)
- Independencia
- Independent review drawing on a broader evidence base than Orben & Przybylski 2019, including six prior systematic reviews/meta-analyses, large-scale preregistered cohort studies (e.g. Understanding Society, N = 12,672), and diary/EMA designs.
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[6] Common Sense Media (2025) — Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions
Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions- Estadística
In a nationally representative survey of 1,060 US teens aged 13-17 (April-May 2025), nearly three in four teens (72%) had used an AI companion at least once and roughly half were regular users; the figure is an adoption rate, not a rate of resulting psychological harm- Extracto
“"Our new research reveals that nearly three in four teens have used AI companions, and half use them regularly." ”
- Datos de la fuente de
- 2025-07-16
- Accedido
- 2026-06-14 · copia archivada
- Cálculo
- Added 2026-06-14 to document AI companion chatbots as a distinct emerging teen-harm vector separate from feed-based social media. Common Sense Media's nationally representative survey establishes that the exposure is now mainstream (72% of teens have tried one; ~half are regular users). It is cited strictly as an adoption-prevalence figure: the survey measures how many teens use companion bots, not how many are harmed by them. No native or normalized probability is derived because the entry remains no_reliable_estimate — surveys report adoption, not crisis incidence.
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[7] UNICEF (2026) — 'Deepfake abuse is abuse' — Statement by UNICEF on AI-generated sexualised images of children
'Deepfake abuse is abuse' — Statement by UNICEF on AI-generated sexualised images of children- Estadística
In a UNICEF, ECPAT and INTERPOL study across 11 countries (Disrupting Harm Phase 2, ~1,000 internet-using children aged 12-17 surveyed per country), at least 1.2 million children disclosed having had their images manipulated into sexually explicit deepfakes in the past year; in some countries this represents 1 in 25 children- Extracto
“"In a UNICEF, ECPAT and INTERPOL study across 11 countries, at least 1.2 million children disclosed having had their images manipulated into sexually explicit deepfakes in the past year. In some countries, this represents 1 in 25 children — the equivalent of one child in a typical classroom." ”
- Datos de la fuente de
- 2026-02-04
- Accedido
- 2026-06-14 · copia archivada
- Cálculo
- Added 2026-06-14 to ground the AI-synthetic-media caveat. The original change brief attributed this 1.2-million figure to Thorn; that attribution could not be verified. The figure is actually from the UNICEF/ECPAT/INTERPOL Disrupting Harm Phase 2 study, cited here from the verbatim UNICEF statement. It is a cross-national exposure-disclosure rate (children reporting their images were manipulated into sexual deepfakes), not a per-user probability of psychological harm, so it does not change the no_reliable_estimate status. It documents that generative-AI synthetic media is a victimisation channel distinct from, and sometimes embedded within, social-media platforms.