Identity Construction and Digital Vulnerability in Adolescents: Psychosocial Implications and Implications for Social Work
Abstract
1. Introduction
1.1. Adolescence and Identity Development
1.2. Social Media and Digital Interaction
1.3. Cyberbullying
1.4. Relevance for Social Work Interventions
1.5. Research Questions
- How does social media use influence adolescents’ identity development, self-concept, self-esteem, and body image?
- What evidence exists regarding the prevalence, characteristics, and psychosocial consequences of cyberbullying among adolescents?
- What risk and protective factors have been identified in relation to social media use, emotional well-being, and cyberbullying experiences?
- What implications do these findings have for social work practice, including prevention, support, and intervention strategies?
1.6. Current Study
2. Materials and Methods
- Scopus, for its international and multidisciplinary coverage.
- Google Scholar, for its accessibility and wide reach.
- SciELO, for its focus on Latin American scientific literature.
- Dialnet, for its relevance in educational and social research in Spanish.
- Spanish: “social networks AND identity AND adolescent AND cyberbullying”; “adolescent identity AND cyberbullying”.
- English: ‘social AND networks AND adolescents AND identity AND cyberbullying’; ‘cyberbullying AND adolescents’; ‘social networks AND cyberbullying’.
- Adolescent identity, focusing on self-concept, self-esteem, body image, and interpersonal relationships.
- Cyberbullying, considering prevalence, characteristics, psychological effects, and relationship with social media use.
2.1. Inclusion Criteria
- Publications between 2019 and 2024.
- Language: Spanish or English with full text available.
- Target population: adolescents.
- Content: studies addressing at least one of the following aspects: influence of social media on identity, self-perception, cyberbullying, or related emotional and social effects.
2.2. Exclusion Criteria
- Non-scientific, duplicate, or studies outside the established period
- Not focused on the adolescent population or without full access to the text.
- Not directly related to social media, identity, body image, or cyberbullying.
Quality Assessment of Included Studies
2.3. Data Selection and Extraction Process
- Initial review of titles and abstracts to eliminate duplicate or irrelevant articles.
- Evaluation of full texts to verify compliance with inclusion criteria.
- Extraction and coding of relevant information on variables of interest: identity, self-concept, self-esteem, body image, cyberbullying, and gender differences
- Qualitative synthesis and thematic organization of findings to identify patterns, trends, and research gaps.
Reviewer Involvement and Data Verification
2.4. Data Availability
2.5. Ethical Considerations
3. Results
3.1. Identity, Self-Perception, and Body Image
3.2. Social Comparison and Digital Pressure
3.3. Mental Health Impacts
3.4. Cyberbullying: Normalized Violence with Significant Impact
4. Discussion
4.1. Identity Construction in Adolescence
4.2. Digital Reconfiguration of Identity and Social Validation
4.3. Emotional Consequences of Digital Exposure
4.4. Cyberbullying and Adolescent Vulnerability
4.5. Implications for Future Research
- Future studies should investigate how digital exposure shapes adolescent identity and self-esteem differently according to gender, age, and social context.
- Research should examine the influence of social media algorithms, online feedback mechanisms, and platform-specific features on identity formation, body image, and mental health.
- Coping strategies employed by adolescents to navigate social comparison, aesthetic pressures, and cyberbullying should be studied, using longitudinal, qualitative, and mixed-method designs to capture long-term effects and subjective experiences.
- Direct participation of adolescents in research is recommended to better understand their perspectives, agency, and resilience in digital spaces.
- Social workers, educators, and mental health professionals should integrate gender-sensitive approaches when designing interventions that address social media pressures and cyberbullying.
- Digital literacy programs can be implemented in schools to enhance critical thinking, emotional regulation, and safe online behaviors.
- Family-focused interventions that strengthen cohesion, communication, and support can buffer the negative effects of digital exposure on adolescent mental health and self-perception.
- Peer-based programs promoting empathy, prosocial behavior, and bystander intervention can reduce the prevalence and impact of cyberbullying.
- Policymakers should develop guidelines and regulations that promote safe and inclusive digital environments for adolescents, including platform accountability for harmful content and bullying.
- National and regional initiatives can support school-based mental health programs and digital literacy curricula, particularly targeting vulnerable populations.
- Policies should encourage collaboration between schools, families, and social services to create multi-level protective networks for adolescents navigating online spaces.
4.6. Limitations of the Study
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Author/Year | Title | Study Type/Instrument | Sample | Key Findings |
|---|---|---|---|---|
| (Bernal Párraga et al., 2025) | The impact of social media use on adolescents’ self-esteem | Mixed. Descriptive–correlational | 250 adolescents (12–18 years) | Intensive use affects self-esteem due to social comparison. In girls, higher aesthetic pressure. Positive social interactions improve self-esteem. |
| (Campodónico & Aucapiña, 2024) | Social media and self-esteem: Systematic review | Systematic review, qualitative | 10 studies (2019–2023) | Consequences: anxiety, bullying, insomnia, psychosomatic symptoms. Greater impact on females. |
| (Camacho-Vidal et al., 2023) | Relationship between Instagram use and adolescents’ body image | Quantitative, cross-sectional | 95 adolescents (11–19 years) | Instagram generates aesthetic pressure, especially in girls. Likes affect self-esteem. Strong association with anxiety and insecurity. |
| (Del Prete & Redon Pantoja, 2020) | Online social networks: Spaces for socialization and identity definition | Qualitative. 32 ethnographic interviews | Adolescents (12–18 years) | Networks serve to define the digital “self.” Performative identity, anxiety due to presentation. Risk: low self-esteem, mental health issues. |
| (Leiva Castillo et al., 2023) | Social and health behaviors of adolescents represented on TikTok | Qualitative. Content analysis | 50 videos of adolescents (13–19 years) | Stereotypes, use of filters, social pressure regarding appearance. Content normalizes risk behaviors. Greater exposure among girls. |
| (López-Martínez et al., 2024) | Adolescents’ exposure to influencer marketing on nutrition and body care | Quantitative-exploratory. Surveys | 1055 adolescents (11–17 years) | Influencers affect self-esteem and decisions. Girls receive more aesthetic content. Harmful advertising affects body image. |
| (Miranda, 2020) | The role of emotions in smartphone addiction and problematic use among adolescents | Systematic qualitative review | 13 studies | Problematic use is associated with low self-esteem and anxiety. Protective factors: high self-esteem and good family relationships. |
| (Montes Castillo et al., 2024) | Social media and social comparison among adolescents | Quantitative, longitudinal | 416 adolescents (12–17 years) | Negative social comparison, body distortion, anxiety, and eating disorders. Identity construction adapted to digital standards. |
| (Órfão & Días, 2024) | The impact of TikTok on body image and self-esteem | Qualitative exploratory. 30 interviews | 30 male adolescents (10–19 years) | TikTok generates male social pressure. Some content improves self-esteem; other content promotes anxiety and body vigilance. |
| (Reyes Barrera, 2024) | Behavioral stress responses to digital stereotypes | Narrative review | Scientific literature (12–18 years) | Networks reinforce unattainable standards. Effects: body dissatisfaction, anxiety, depression. Girls are more vulnerable. |
| (Rizo-Vélez, 2023) | Impact of social media on adolescent communication | Quantitative | 250 adolescents (13–18 years) | Facebook is the main communication medium. Networks influence identity and pressure to maintain an idealized profile. |
| (Rubio Hernández et al., 2024) | Unveiling the relationships between social media, self-control, self-esteem, and social skills | Quantitative, descriptive-correlational | 158 adolescents (12–17 years) | No direct relationship between use and self-esteem, but related to self-control. Networks used for avoidance, concentration problems, and isolation. |
| (Serrate-González et al., 2023) | Onlife identity: Gender and age in adolescent behavior on social networks | Quantitative. Ex post facto | 15 adolescents (12–18 years), 31 centers | Networks influence digital identity and social acceptance. Girls use more filters and show themselves; boys prefer anonymity. |
| Author/Year | Title | Type of Study/Instrument | Sample | Relevant Findings |
|---|---|---|---|---|
| (Donoso Vázquez et al., 2019) | Factors associated with cybervictimization in Spanish adolescents aged 12–14. | Quantitative. Survey. | 4.536 adolescents (Mean age: 15) | Cyber-aggressors are often also victims. Excessive use and anonymity increase cyberbullying. 44.1% experienced some form. |
| (Bachmeier & Cardozo, 2024) | Bullying and Cyberbullying: “Post-Pandemis”. A study with school adolescents from Córdoba. | Quantitative, descriptive. Test. | 745 adolescents (13–19 years) | Cyberbullying increased after the pandemic. Family and school environment influence. Bystanders also play a role. Prosocial deficit increases victimization. |
| (Cabañas et al., 2021) | Cyberbullying among adolescents: concept, risk factors, and consequences on mental health. | Systematic review. | Studies (Dec. 2020–Jan. 2021) | Linked to low empathy, family violence, and social anxiety. Consequences: depression, suicidal ideation, poor academic performance. |
| (Domínguez-Mora et al., 2019) | Cyberbullying as a factor associated with psychological distress and suicidal ideation in Mexican adolescents. | Quantitative explanatory, cross-sectional. | 1.676 adolescents (12–17 years) | Cyberbullying participation is associated with psychological distress and suicidal ideation. Greater impact on females. |
| (Cabrera et al., 2024) | Socio-family variables in cyberbullying adolescents: prevention and intervention from Social Work. | Quantitative cross-sectional. Questionnaires. | 1.029 adolescents (11–19 years) | Pleasant emotions towards bullying increase likelihood. Early family cohesion protects; conflicts in mid-adolescence increase risk. |
| (Madrid López et al., 2019) | Factors associated with cyberbullying in adolescents: An ecological-social perspective. | Quantitative. Logistic regression. | 1.488 (15–18 years) | Family violence and school bullying have influence. Protective factors: empathy, family support, community, and school. |
| (Torrecillas Lacave et al., 2022) | Experiences of cyberbullying in adolescents and its effects on internet use. | Mixed. Survey and focus groups. | 865 adolescents (12–18 years) | Females more affected. Adopt self-censorship and reduce online participation due to fear and insecurity. |
| (Valenzuela Guzmán et al., 2024) | Cyberbullying: Common manifestations and gender roles among actors. | Quantitative cross-sectional. Questionnaires. | Adolescents (12–16 years) | Girls: more cybervictimization (12.67%). Boys: more cyberaggression (2.67%). Common forms: teasing, impersonation, exclusion. |
| (Domínguez-Mora et al., 2019) | Variables discriminating the profile of cyberbullies in Mexican adolescents. | Quantitative. Ex post facto, cross-sectional. | 1.681 adolescents (12–17 years) | Aggressors show conflictive communication with parents and negative attitudes. Victims report more family and academic support. |
| (Pacheco, 2022) | Variables associated with the phenomenon of cyberbullying in Colombian adolescents. | Quantitative. | 1.080 adolescents (10–19 years) | Risk factors: excessive mobile use, being female. With increasing age: less victimization, higher likelihood of becoming aggressor. |
| (Álvarez Quiroz et al., 2023) | Relationship between bullying, cyberbullying, and self-esteem in Colombian adolescents. | Quantitative, descriptive–correlational. | 460 adolescents (12–18 years) | Low self-esteem linked to greater cybervictimization. Medium self-esteem also implies risk. |
| (Carlos Garay et al., 2023) | Cyberbullying in adolescents in a pediatric hospital: frequency and forms. | Observational, descriptive, prospective. Questionnaire. | 406 adolescents (12–18 years) | 22.5% reported cyberbullying. Forms: exclusion (54.2%), persistent messages (42.3%), jokes (32.8%), humiliating images (16.2%). |
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Elvira-Zorzo, M.N.; Bayona Gómez, P. Identity Construction and Digital Vulnerability in Adolescents: Psychosocial Implications and Implications for Social Work. Youth 2025, 5, 119. https://doi.org/10.3390/youth5040119
Elvira-Zorzo MN, Bayona Gómez P. Identity Construction and Digital Vulnerability in Adolescents: Psychosocial Implications and Implications for Social Work. Youth. 2025; 5(4):119. https://doi.org/10.3390/youth5040119
Chicago/Turabian StyleElvira-Zorzo, María Natividad, and Paula Bayona Gómez. 2025. "Identity Construction and Digital Vulnerability in Adolescents: Psychosocial Implications and Implications for Social Work" Youth 5, no. 4: 119. https://doi.org/10.3390/youth5040119
APA StyleElvira-Zorzo, M. N., & Bayona Gómez, P. (2025). Identity Construction and Digital Vulnerability in Adolescents: Psychosocial Implications and Implications for Social Work. Youth, 5(4), 119. https://doi.org/10.3390/youth5040119

