Qualità delle prove 4.88/5
Punteggio di revisione su otto dimensioni rispetto alla griglia di qualità . Ogni dimensione valutata da 1 a 5.
- D1 Ancoraggio alle fonti
- 5/5
- D2 Autorità delle fonti
- 5/5
- D3 Aritmetica
- 5/5
- D4 Incertezza
- 5/5
- D5 Ambito
- 5/5
- D6 Prosa
- 5/5
- D7 Onestà sulla percezione
- 4/5
- D8 Completezza degli avvertimenti
- 5/5
Come varia il rischio
La cifra principale è una media di situazioni molto diverse. Ecco come varia la probabilità in base allo scenario o al contesto:
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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 lunghezza e la tonalità della barra ordinano questi scenari tra loro, non rispetto ad altri rischi. Le probabilità esatte sono indicate accanto a ciascuno.
Decisioni che questo rischio orienta
Scelte che dipendono da questo rischio: come si soppesa il compromesso.
Accesso del bambino ai social media
% rimpiange questa scelta
L'azione prevale
Rimpianto per l'azione 5.4× maggiore
Smartphone per bambino: quando?
% rimpiange questa scelta
L'azione prevale
Rimpianto per l'azione 13.0× maggiore
Scegli lo sfidante
Questa voce reca l’indicatore no_reliable_estimate, e la ragione merita di essere
spiegata: la letteratura di ricerca sui social media e la salute mentale degli adolescenti ha prodotto
migliaia di studi, molteplici avvisi governativi e almeno un libro bestseller,
ma non ha prodotto una probabilità difendibile per utente di “gravi danni
psicologici”. Le analisi correlazionali più potenti — lo studio sulla curva di specificazione di Orben e Przybylski
del 2019 su oltre 350.000 adolescenti, e le revisioni post-2023
sintetizzate da Odgers e Jensen — trovano associazioni nell’intervallo di
r = 0.035 a r = 0.15. Questi numeri non sono zero. Non sono nemmeno abbastanza grandi
da poter essere convertiti in un’affermazione significativa come “1 adolescente su X subirà gravi danni”.
Le misure di esito sono scale continue di benessere, non soglie binarie di danno,
e il divario tra “ha ottenuto un punteggio leggermente inferiore in un questionario sulla soddisfazione di vita” e
“ha sviluppato un disturbo d’ansia clinico a causa di Instagram” è un divario che i dati non possono
colmare.
Il divario di percezione qui si muove in una direzione insolita. L’Advisory 2023 del US Surgeon General — il documento singolo più autorevole sull’argomento — afferma esplicitamente che “non abbiamo ancora prove sufficienti per determinare che i social media siano sufficientemente sicuri per bambini e adolescenti”. Questa impostazione, combinata con la fuga di notizie sulla ricerca interna di Facebook/Instagram e “The Anxious Generation” di Haidt, ha spinto l’intuizione pubblica a trattare i social media come un pericolo chiaro e presente per la maggior parte degli adolescenti. La letteratura correlazionale supporta un’affermazione più debole: esiste un’associazione reale ma piccola a livello di popolazione, con effetti maggiori concentrati in sottogruppi specifici (ragazze di età compresa tra 13 e 15 anni, adolescenti con sintomi internalizzanti preesistenti, utenti intensivi che superano le 3-4 ore al giorno). Se questi effetti sui sottogruppi costituiscano una crisi causale di salute mentale o riflettano una causalità inversa e confusione è la questione centrale aperta, e la risposta onesta nel 2026 è che il campo non l’ha risolta.
Laddove il numero sarebbe più importante — per il genitore di una ragazza di 14 anni che soffre già di ansia e trascorre quattro ore al giorno su Instagram — è proprio lì che l’evidenza è più suggestiva e meno precisa. La ricerca interna di Facebook ha rilevato che il 32% delle ragazze adolescenti che già si sentivano male riguardo al proprio corpo ha affermato che Instagram ha peggiorato la situazione, ma “sentirsi peggio” in un sondaggio interno non è la stessa cosa che “sviluppare una condizione diagnosticabile”, e il sondaggio non era rappresentativo della popolazione. Fino a quando il campo non concorderà su una definizione di esito clinico e non la misurerà prospetticamente in una grande coorte rappresentativa, questa voce rimarrà contrassegnata come priva di stima affidabile. Questa non è un’affermazione che i social media siano sicuri. È un’affermazione che l’evidenza, allo stato attuale, non supporta un numero specifico.
Curiosità correlate
Danno dei social media negli adolescenti: nessuna stima causale affidabile nonostante anni di studio. Bullismo scolastico classi 6-12: 65%. Il panico morale senza prove ottiene udienze al Congresso. L'epidemia misurata ottiene poster nel corridoio.
Il 54% dei genitori che hanno lasciato che il figlio aprisse account sui social media vorrebbe non averlo fatto. Tra i genitori che hanno ritardato o bloccato l'accesso, il tasso di pentimento stimato è circa il 10%.
Registro delle fonti
Ogni numero qui sotto è ciò che ciascuna fonte ha riportato, con la citazione testuale su cui ci siamo basati e come siamo arrivati alla nostra cifra. Clicca su qualsiasi link per verificare direttamente.
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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- Statistica
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- Estratto
“"We do not yet have enough evidence to determine that social media is sufficiently safe for children and adolescents." ”
- Dati originali da
- 2023-05-23
- Consultato
- 2026-04-18 · copia archiviata
- Calcolo
- 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 →
- Statistica
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- Estratto
“"The negative effect of technology use on adolescent well-being is small — explaining at most 0.4% of the variation in well-being." ”
- Dati originali da
- 2019-01-14
- Consultato
- 2026-04-18 · copia archiviata
- Calcolo
- 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.
- Indipendenza
- 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 →
- Statistica
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- Estratto
“"Science demonstrates that social media use, in and of itself, is not sufficient to be helpful or harmful to young people." ”
- Dati originali da
- 2023-05-09
- Consultato
- 2026-04-18 · copia archiviata
- Calcolo
- 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- Statistica
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- Estratto
“"Thirty-two percent of teen girls said that when they felt bad about their bodies, Instagram made them feel worse." ”
- Dati originali da
- 2021-09-14
- Consultato
- 2026-04-18 · copia archiviata
- Calcolo
- 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- Statistica
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- Estratto
“"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." ”
- Dati originali da
- 2020-01-17
- Consultato
- 2026-04-18 · copia archiviata
- Calcolo
- 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.)
- Indipendenza
- 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- Statistica
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- Estratto
“"Our new research reveals that nearly three in four teens have used AI companions, and half use them regularly." ”
- Dati originali da
- 2025-07-16
- Consultato
- 2026-06-14 · copia archiviata
- Calcolo
- 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- Statistica
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- Estratto
“"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." ”
- Dati originali da
- 2026-02-04
- Consultato
- 2026-06-14 · copia archiviata
- Calcolo
- 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.