Digital vulnerability in young people: gender, age and online participation patterns

References

• Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S.(2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252.
   PubMed Web of Science ®Google Scholar
• Andreassen, C. S., Griffiths, M. D., Pallesen, S., Bilder, R. M., Torsheim, T., & Aboujaoude, E. (2015). The Bergen shopping addiction scale: Reliability and validity of a brief screening test. Frontiers in Psychology, 6, 1374. https://doi.org/10.3389/fpsyg.2015.01374
   PubMed Web of Science ®Google Scholar
• Beranuy, M., Chamarro Lusar, A., Graner, C., & Carbonell, X. (2009). Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil. Psicothema, 21(2), 480–830.
   PubMedGoogle Scholar
• Blais, A. R., & Weber, E. U. (2006). A domain-specific risk-taking (DOSPERT) scale for adult populations. Judgment and Decision Making, 1(1), 33–47. https://doi.org/10.1017/S1930297500000334
   Web of Science ®Google Scholar
• Boyd, D. M., & Ellison, N. B. (2007, October 1). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.x
   Web of Science ®Google Scholar
• Bozzato, P., Longobardi, C., & Fabris, M. A. (2020). Problematic gambling behaviour in adolescents: Prevalence and its relation to social, self-regulatory, and academic self-efficacy. International Journal of Adolescence and Youth, 25(1), 907–919. https://doi.org/10.1080/02673843.2020.1772842
   Google Scholar
• Brolin Låftman, S., Alm, S., Olsson, G., Sundqvist, K., & Wennberg, P. (2020). Future orientation, gambling and risk gambling among youth: A study of adolescents in Stockholm. International Journal of Adolescence and Youth, 25(1), 52–62. https://doi.org/10.1080/02673843.2019.1581069
   Web of Science ®Google Scholar
• Byrne, Z. S., Dvorak, K. J., Peters, J. M., Ray, I., Howe, A., & Sanchez, D. (2016). From the user’s perspective: Perceptions of risk relative to benefit associated with using the internet. Computers in Human Behavior, 59, 456–468. https://doi.org/10.1016/j.chb.2016.02.024
   Web of Science ®Google Scholar
• Cabello-Hutt, T., Cabello, P., & Claro, M. (2018). Online opportunities and risks for children and adolescents: The role of digital skills, age, gender and parental mediation in Brazil. New Media & Society, 20(7), 2411–2431. https://doi.org/10.1177/1461444817724168
   Web of Science ®Google Scholar
• Carvalho, M., Branquinho, C., & de Matos, M. G. (2018). Emotional symptoms and risk behaviors in adolescents: Relationships with cyberbullying and implications on well-being. Violence and Victims, 33(5), 871–885. https://doi.org/10.1891/0886-6708.VV-D-16-00204
   PubMed Web of Science ®Google Scholar
• Chóliz, M., Marcos, M., & Lázaro-Mateo, J. (2021). The risk of online gambling: A study of gambling disorder prevalence rates in Spain. International Journal of Mental Health and Addiction, 19(2), 404–417. https://doi.org/10.1007/s11469-019-00067-4
   Web of Science ®Google Scholar
• Davidson, J., & Martellozzo, E. (2013). Exploring young people’s use of social networking sites and digital media in the internet safety context: A comparison of the UK and Bahrain. Information, Communication & Society, 16(9), 1456–1476. https://doi.org/10.1080/1369118X.2012.701655
   Web of Science ®Google Scholar
• De la Villa Moral, M., & Suárez, C. (2016). Factores de riesgo en el uso problemático de Internet y del teléfono móvil en adolescentes españoles. Revista iberoamericana de psicología y salud, 7(2), 69–78. https://doi.org/10.1016/j.rips.2016.03.001
   Google Scholar
• Derbyshire, K. L., Lust, K. A., Schreiber, L. R., Odlaug, B. L., Christenson, G. A., Golden, D. J., & Grant, J. E. (2013). Problematic internet use and associated risks in a college sample. Comprehensive Psychiatry, 54(5), 415–422. https://doi.org/10.1016/j.comppsych.2012.11.003
   PubMed Web of Science ®Google Scholar
• El Asam, A., & Katz, A. (2018). Vulnerable young people and their experience of online risks. Human–Computer Interaction, 33(4), 281–304. https://doi.org/10.1080/07370024.2018.1437544
   Web of Science ®Google Scholar
• Estévez, L., Bayón, C., De la Cruz, J., & Liria, A. F. (2009). Uso y abuso de Internet en adolescentes. Adicción a las nuevas tecnologías en adolescentes y jóvenes, 101–130. https://doi.org/10.31766/repsij.v36n3a2
   Google Scholar
• Estévez, A., Urbiola, I., Iruarrizaga, I., Onaindia, J., & Jauregui, P. (2017). Dependencia emocional en el noviazgo y consecuencias psicológicas del abuso de internet y móvil en jóvenes. Anales de psicología, España, 33(2), 260–267.
   Google Scholar
• Fuente-Cobo, C. (2017). Públicos vulnerables y empoderamiento digital: el reto de una sociedad e-inclusiva. El profesional de la información, 26(1), 5–12. https://doi.org/10.3145/epi.2017.ene.01
   Google Scholar
• Galbava, S., Machackova, H., & Dedkova, L. (2021). Ciberostracismo: Consecuencias emocionales y conductuales en las interacciones en redes sociales. Comunicar, 67, 9–20. https://doi.org/10.3916/C67-2021-01
   Google Scholar
• García, B. C., de Ayala López, M. L., & Jiménez, A. G. (2014). Los riesgos de los adolescentes en Internet: los menores como actores y víctimas de los peligros de Internet. Revista Latina de Comunicación Social, 69(69), 462–485. https://doi.org/10.4185/RLCS-2014-1020
   Google Scholar
• García Del Castillo, J. A. (2012). Concepto de percepción de riesgo y su repercusión en las adicciones. Health and Addictions, 12(2), 133–151. https://doi.org/10.21134/haaj.v12i2.2
   Google Scholar
• García-Jiménez, A., & Jorge, A. (2019). Vulnerabilidades digitales. Revista Mediterránea de Comunicación, 10(1), 11–12. https://doi.org/10.14198/MEDCOM2019.10.1.24
   Google Scholar
• Garitaonandia, C., Karrera-Xuarros, I., Jiménez-Iglesias, E., & Larrañaga, N. (2020). Menores conectados y riesgos online: contenidos inadecuados, uso inapropiado de la información y uso excesivo de internet. El profesional de la información, 29(4). https://doi.org/10.3145/epi.2020.jul.36
   Google Scholar
• Garmendia, M., Jiménez, E., Casado, M. Á., & Mascheroni, G. (2016). Net Children Go Mobile: Riesgos y oportunidades en el uso de internet y dispositivos móviles en España. Red.es/Universidad del País Vasco. https://bit.ly/3dRdxJJ
   Google Scholar
• Garmendia, M., Jiménez, E., Karrera, I., Larrañaga, N., Casado, M. A., Martínez, G., & Garitaoanadia, C. (2019). Actividades, mediación, oportunidades y riesgos online de los menores en la era de la convergencia mediática. Instituto Nacional de Ciberseguridad. http://hdl.handle.net/10810/49632
   Google Scholar
• Gerulaitienė, E., & Šidagytė, J. (2016, May). The influence of gender and family in online participation of teenagers at social risk. In SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference (Vol. 3, pp. 301–311). https://doi.org/10.17770/sie2016vol3.1462
   Google Scholar
• González-Cabrera, J., Basterra-González, A., Montiel, I., Calvete, E., Pontes, H. M., & Machimbarrena, J. M. (2022). Loot boxes in Spanish adolescents and young adults: Relationship with internet gaming disorder and online gambling disorder. Computers in Human Behavior, 126, 107012. https://doi.org/10.1016/j.chb.2021.107012
   Web of Science ®Google Scholar
• Griffiths, M. (2000). Internet addiction. Time to be taken seriously? Addiction Research & Theory, 8, 413–418.
   Web of Science ®Google Scholar
• Griffiths, M. D., Kuss, D. J., & King, D. L. (2012). Video game addiction: Past, present and future8(4), 308–318. https://doi.org/10.2174/157340012803520414
   Google Scholar
• Hargittai, E. (2010). Digital Na(t)ives? Variation in Internet skills and uses among members of the “net generation”. Sociological Inquiry, 80(1), 92–113. https://doi.org/10.1111/j.1475-682X.2009.00317.x
   Web of Science ®Google Scholar
• Helsper, E. J., & Smahel, D. (2020). Excessive internet use by young Europeans: Psychological vulnerability and digital literacy? Information, Communication & Society, 23(9), 1255–1273. https://doi.org/10.1080/1369118X.2018.1563203
   Web of Science ®Google Scholar
• Hernández, M. P., Mateo, C. M., & Cortázar, L. K. (2018). Escala de sentimientos y emociones en las redes sociales e internet, SERSI: fiabilidad y validez. EJIHPE: European Journal of Investigation in Health, Psychology and Education, 8(3), 143–155. https://doi.org/10.30552/ejihpe.v8i3.274
   Google Scholar
• Hinduja, S., & Patchin, J. W. (2013). Social influences on cyberbullying behaviors among middle and high school students. Journal of Youth and Adolescence, 42(5), 711–722. https://doi.org/10.1007/s10964-012-9902-4
   PubMed Web of Science ®Google Scholar
• Instituto Nacional de Estadística – INE Baseb. (2021). Población residente por fecha, sexo y edad. Instituto Nacional de Estadística. https://bit.ly/31FGcZL
   Google Scholar
• International Advertising Bureau. (2022). Estudio Anual de Redes Sociales.
   Google Scholar
• Kelly, S., Klézl, V., Israilidis, J., Malone, N., & Butler, S. (2021). Digital supply chain management in the Videogames industry: A systematic literature review. Comput Game, 10(1–4), 19–40. https://doi.org/10.1007/s40869-020-00118-0
   Google Scholar
• Kosciesza, A. J. (2023). Intersectional gender measurement: Proposing a new metric for gender identity and gender experience. Feminist Media Studies, 23(3), 750–765. https://doi.org/10.1080/14680777.2021.2018008
   Web of Science ®Google Scholar
• Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137. https://doi.org/10.1037/a0035618
   PubMed Web of Science ®Google Scholar
• Kuss, D. J., Kanjo, E., Crook-Rumsey, M., Kibowski, F., Wang, G. Y., & Sumich, A. (2018). Problematic mobile phone use and addiction across generations: The roles of psychopathological symptoms and smartphone use. The Journal of Technology in Behavioral Science, 3(3), 141–149. https://doi.org/10.1007/s41347-017-0041-3
   PubMedGoogle Scholar
• Labrador, F. J., & Villadangos, S. M. (2010). Menores y nuevas tecnologías: conductas indicadoras de posible problema de adicción. Psicothema, 22(2), 180–198.
   PubMedGoogle Scholar
• Livingstone, S., Haddon, L., & Görzig, A. (2011). Risks and Safety on the Internet: The Perspective of European Children: Full Findings and Policy Implications from the EU Kids Online Survey of 9–16 Year Olds and Their Parents in 25 Countries. LSE-EU Kids Online. https://eprints.lse.ac.uk/33731/1/Risks%20and%20safety%20on%20the%20internet%28lsero%29.pdf
   Google Scholar
• Livingstone, S., & Helsper, E. (2010). Balancing opportunities and risks in teenagers’ use of the internet: The role of online skills and internet self-efficacy. New Media & Society, 12(2), 309–329. https://doi.org/10.1177/1461444809342697
   Web of Science ®Google Scholar
• Lopez-Sintas, J., Lamberti, G., & Sukphan, J. (2020). The social structuring of the digital gap in a developing country. The impact of computer and internet access opportunities on internet use in Thailand. Technology in Society, 63, 101433. https://doi.org/10.1016/j.techsoc.2020.101433
   Web of Science ®Google Scholar
• Martínez Pastor, E., García-Jiménez, A., & Sendín Gutiérrez, J. C. (2013). Percepción de los riesgos en la red por los adolescentes en España: usos problemáticos y formas de control. Análisi: Quaderns de comunicació i cultura, 48, 111–130. https://raco.cat/index.php/Analisi/article/view/304861
   Google Scholar
• Mitchell, K. J., Finkelhor, D., & Wolak, J. (2003). The exposure of Youth to unwanted sexual material on the internet: A National survey of risk, impact, and prevention. Youth & Society, 34(3), 330–358. https://doi.org/10.1177/0044118X02250123
   Web of Science ®Google Scholar
• Moreno, M. A., Jelenchick, L. A., Egan, K. G., Cox, E., Young, H., Gannon, K. E., & Becker, T. (2011). Feeling bad on Facebook: Depression disclosures by college students on a social networking site. Depression and Anxiety, 28(6), 447–455. https://doi.org/10.1002/da.20805
   PubMed Web of Science ®Google Scholar
• Müller, A., Brand, M., Claes, L., Demetrovics, Z., De Zwaan, M., Fernandez-Aranda, ´. F., Kyrios, M., Jimenez-Murcia, S., Lejoyeux, M., Steins-Loeber, S., Mitchell, J. E., Moulding, R., Nedeljkovic, M., Trotzke, P., Weinstein, A., & Kyrios, M. (2019). Buying-shopping disorder—is there enough evidence to support its inclusion in ICD-11? CNS Spectrums, 24(4), 374–379. https://doi.org/10.1017/s1092852918001323
   PubMed Web of Science ®Google Scholar
• Niedermoser, D. W., Petitjean, S., Schweinfurth, N., Wirz, L., Ankli, V., Schilling, H., Zueger, C., Meyer, M., Poespodihardjo, R., Wiesbeck, G., & Walter, M. (2021). Shopping addiction: A brief review. Practice Innovations, 6(3), 199–207. https://doi.org/10.1037/pri0000152
   Google Scholar
• ONTSI Observatorio Nacional de Tecnología y Sociedad. (2022). Uso de tecnología en los hogares españoles. Ministerio de Asuntos Económicos y Transformación Digital. Madrid. https://www.ontsi.es/es/publicaciones/uso-tecnologia-hogares-espanoles-2022
   Google Scholar
• Osorio-Tamayo, D. L., & Millán Otero, K. L. (2020). Adolescentes en Internet, la mediación entre riesgos y oportunidades. Revista Colombiana de Ciencias Sociales, 11(1), 153–180. https://doi.org/10.21501/22161201.2979
   Google Scholar
• Piccardi, L., Burrai, J., Palmiero, M., Quaglieri, A., Lausi, G., Cordellieri, P., Fraschetti, A., Giannini, A. M., & Mari, E. (2023). A cross-sectional study of gender role adherence, moral disengagement mechanisms and online vulnerability in adolescents. Heliyon, 9(8), e18910. https://doi.org/10.1016/j.heliyon.2023.e18910
   PubMed Web of Science ®Google Scholar
• Qian, B., Huang, M., Xu, M., & Hong, Y. (2022). Internet use and quality of life: The multiple mediating effects of risk perception and internet addiction. International Journal of Environmental Research and Public Health, 19(3), 1795. https://doi.org/10.3390/ijerph19031795
   PubMed Web of Science ®Google Scholar
• Ramos-Soler, I., López-Sánchez, C., & Torrecillas-Lacave, T. (2018). Online risk perception in young people and its effects on digital behaviour. Comunicar, 56(56), 71–79. https://doi.org/10.3916/C56-2018-07
   Google Scholar
• Reith, G., & Dobbie, F. (2011). Beginning gambling: The role of social networks and environment. Addiction Research & Theory, 19(6), 483–493. https://doi.org/10.3109/16066359.2011.558955
   Web of Science ®Google Scholar
• Rial, A., Golpe, S., Gómez, P., & Barreiro, C. (2015). Variables asocia-das al uso problemático de Internet entre adolescentes. Health and Addiction: Salud Y Drogas, 15(1), 25–38. https://doi.org/10.21134/haaj.v15i1.223
   Google Scholar
• Romera, E. M., Camacho, A., Ortega-Ruiz, R., & Falla, D. (2021). Cybergossip, cyberaggression, problematic Internet use and family communication. Comunicar, 67(67), 61–71. https://doi.org/10.3916/C67-2021-05
   Google Scholar
• Rose, S., & Dhandayudham, A. (2014). Towards an understanding of Internet-based problem shopping behaviour: The concept of online shopping addiction and its proposed predictors. Journal of Behavioral Addictions, 3(2), 83–89. https://doi.org/10.1556/JBA.3.2014.003
   PubMed Web of Science ®Google Scholar
• Sasson, H., & Mesch, G. (2014). Parental mediation, peer norms and risky online behavior among adolescents. Computers in Human Behavior, 33, 32–38. https://doi.org/10.1016/j.chb.2013.12.025
   Web of Science ®Google Scholar
• Sun, T., & Wu, G. (2011). Trait predictors of online impulsive buying tendency: A hierarchical approach. Journal of Marketing Theory & Practice, 19(3), 337–346. https://doi.org/10.2753/MTP1069-6679190307
   Google Scholar
• Torres-Hernández, N., García-Martínez, I., & Gallego-Arrufat, M. J. (2022). Internet risk perception: Development and validation of a scale for adults. European Journal of Investigation in Health, Psychology and Education, 12(11), 1581–1593. https://doi.org/10.3390/ejihpe12110111
   PubMed Web of Science ®Google Scholar
• Tóth‐Király, I., Morin, A. J., Hietajärvi, L., & Salmela‐Aro, K. (2021). Longitudinal trajectories, social and individual antecedents, and outcomes of problematic Internet use among late adolescents. Child Development, 92(4), e653–e673. https://doi.org/10.1111/cdev.13525
   PubMed Web of Science ®Google Scholar
• Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17. https://doi.org/10.1177/2167702617723376
   Web of Science ®Google Scholar
• Tynes, B. M. (2007). Internet safety gone wild? Sacrificing the educational and psychosocial benefits of online social environments. Journal of Adolescent Research, 22(6), 575–584. https://doi.org/10.1177/0743558407303979
   Web of Science ®Google Scholar
• Van Deursen, A. J., Bolle, C. L., Hegner, S. M., & Kommers, P. A. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in human behavior, 45, 411–420.
   Web of Science ®Google Scholar
• Vekiri, I. (2010). Socioeconomic differences in elementary students’ ICT beliefs and out-of-school experiences. Computers & Education, 54(4), 941–950. https://doi.org/10.1016/j.compedu.2009.09.029
   Web of Science ®Google Scholar
• Villanueva Blasco, V. J., & Serrano Bernal, S. (2019). Patrón de uso de internet y control parental de redes sociales como predictor de sexting en adolescentes: una perspectiva de género. Revista de Psicología y Educación - Journal of Psychology and Education, 14(1), 16–26. https://doi.org/10.23923/rpye2019.01.168
   Google Scholar
• Weber, E. U. (2006). Experience-based and description-based perceptions of long-term risk: Why global warming does not scare us (yet). Climatic Change, 77(1–2), 103–120. https://doi.org/10.1007/s10584-006-9060-3
   Web of Science ®Google Scholar
• Zheng, Y., Yang, X., Liu, Q., Chu, X., Huang, Q., & Zhou, Z. (2020). Perceived stress and online compulsive buying among women: A moderated mediation model. Computers in Human Behavior, 103, 13–20. https://doi.org/10.1016/j.chb.2019.09.012
   Web of Science ®Google Scholar