Skip to main content
Log in

Who Is Exposed to Harmful Online Content? The Role of Risk and Protective Factors Among Czech, Finnish, and Spanish Adolescents

  • Empirical Research
  • Published:
Journal of Youth and Adolescence Aims and scope Submit manuscript

Abstract

Although adolescents’ exposure to harmful online content has been linked to decreased subjective well-being and offline risky behaviors, there is limited research on the factors that underlie such problematic online behavior. Using the conceptual framework of Problem Behavior Theory, this study examined the role of risk (i.e., emotional problems, sensation seeking) and protective (i.e., the quality of family environment, social support from friends) factors in exposure to harmful online content among 4473 12- to 16-year-olds (M = 13.9, SD = 1.3, 49% girls) in the Czech Republic, Finland, and Spain. Individual country samples included 1848 adolescents from the Czech Republic (age: M = 14, SD = 1.4; 51% girls), 788 from Finland (age: M = 13.9, SD = 1.3; 52% girls), and 1837 from Spain (age: M = 13.5, SD = 1.2; 47% girls). In all of the sampled countries, emotional problems and sensation seeking served as risk factors, whereas good family relationships were protective. In some countries, the effects of emotional problems and sensation seeking were moderated by the quality of the family environment and social support from friends. These moderating effects suggest that individual risk factors for exposure to harmful online content may be buffered by a positive family environment and friends’ support. The findings revealed similarities in the risk and protective factors underlying online problem behavior across three different countries. They demonstrate that the mechanisms proposed by Problem Behavior Theory can help to understand the etiology of adolescent problem behavior across different countries as well as offline and online contexts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Almenara, C. A., Machackova, H., & Smahel, D. (2016). Individual differences associated with exposure to “ana-mia” websites: an examination of adolescents from 25 European Countries. Cyberpsychology, Behavior, and Social Networking, 19(8), 475–480. https://doi.org/10.1089/cyber.2016.0098

    Article  Google Scholar 

  • Bayraktar, F., Barbovschi, M., & Kontrikova, V. (2016). Risky sociability and personal agency-offline meetings with online contacts among European children and adolescents. Children and Youth Services Review, 70, 78–83. https://doi.org/10.1016/j.childyouth.2016.09.007

    Article  Google Scholar 

  • Bekir, S. & Celik, S. (2019). Examining the factors contributing to adolescents’ online game addiction. Annals of Psychology, 35(3), 444–452

    Google Scholar 

  • Beyens, I., & Eggermont, S. (2014). Prevalence and predictors of text-based and visually explicit cybersex among adolescents. Young, 22(1), 43–65. https://doi.org/10.1177/0973258613512923

    Article  Google Scholar 

  • Beyens, I., Vandenbosch, L., & Eggermont, S. (2015). Early adolescent boys’ exposure to internet pornography. Journal of Early Adolescence, 35(8), 1045–1068. https://doi.org/10.1177/0272431614548069

    Article  Google Scholar 

  • Branley, D. B., & Covey, J. (2017). Is exposure to online content depicting risky behavior related to viewers’ own risky behavior offline? Computers in Human Behavior, 75, 283–287. https://doi.org/10.1016/j.chb.2017.05.023

    Article  Google Scholar 

  • Campaioli, G., Sale, E., Simonelli, A., & Pomini, V. (2017). The dual value of the web: risks and benefits of the use of the internet in disorders with a self-destructive component in adolescents and young adults. Contemporary Family Therapy, 39(4), 301–313. https://doi.org/10.1007/s10591-017-9443-9

    Article  Google Scholar 

  • Chan, S. F., La Greca, A. M., & Peugh, J. L. (2019). Cyber victimization, cyber aggression, and adolescent alcohol use: short-term prospective and reciprocal associations. Journal of Adolescence, 74, 13–23. https://doi.org/10.1016/j.adolescence.2019.05.003

    Article  PubMed  PubMed Central  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5

    Article  Google Scholar 

  • Chng, G. S., Li, D., Liau, A. K., & Khoo, A. (2015). Moderating effects of the family environment for parental mediation and pathological internet use in youths. Cyberpsychology, Behavior, and Social Networking, 18(1), 30–36. https://doi.org/10.1089/cyber.2014.0368

    Article  Google Scholar 

  • Cho, C. H., & Cheon, H. J. (2005). Children’s exposure to negative internet content: effects of family context. Journal of Broadcasting and Electronic Media, 49(4), 488–509. https://doi.org/10.1207/s15506878jobem4904_8

    Article  Google Scholar 

  • Cho, S., Lee, H., Peguero, A. A., & Park, S. (2019). Social-ecological correlates of cyberbullying victimization and perpetration among African American youth: negative binomial and zero-inflated negative binomial analyses. Children and Youth Services Review, 101, 50–60. https://doi.org/10.1016/j.childyouth.2019.03.044

    Article  Google Scholar 

  • Costa, F. M., Jessor, R., Turbin, M. S., Dong, Q., Zhang, H., & Wang, C. (2005). The role of social contexts in adolescence: context protection and context risk in the United States and China. Applied Developmental Science, 9(2), 67–85. https://doi.org/10.1207/s1532480xads0902_3

    Article  Google Scholar 

  • Costello, M., Hawdon, J., Bernatzky, C., & Mendes, K. (2019). Social group identity and perceptions of online hate. Sociological Inquiry, 89(3), 427–452. https://doi.org/10.1111/soin.12274

    Article  Google Scholar 

  • De Leo, J. A., & Wulfert, E. (2013). Problematic Internet use and other risky behaviors in college students: an application of problem-behavior theory. Psychology of Addictive Behaviors, 27(1), 133–141. https://doi.org/10.1037/a0030823

    Article  PubMed  Google Scholar 

  • de Looze, M., ter Bogt, T. F. M., Raaijmakers, Q. A. W., Pickett, W., Kuntsche, E., & Vollebergh, W. A. M. (2015). Cross-national evidence for the clustering and psychosocial correlates of adolescent risk behaviours in 27 countries. European Journal of Public Health, 25(1), 50–56. https://doi.org/10.1093/eurpub/cku083

    Article  PubMed  Google Scholar 

  • Eastabrook, J. M., Flynn, J. J., & Hollenstein, T. (2014). Internalizing symptoms in female adolescents: associations with emotional awareness and emotion regulation. Journal of Child and Family Studies, 23(3), 487–496. https://doi.org/10.1007/s10826-012-9705-y

    Article  Google Scholar 

  • Fleming, M. J., Greentree, S., Cocotti-Muller, D., Elias, K. A., & Morrison, S. (2006). Safety in cyberspace: adolescents’ safety and exposure online. Youth and Society, 38(2), 135–154. https://doi.org/10.1177/0044118X06287858

    Article  Google Scholar 

  • Gámez-Guadix, M., Borrajo, E., & Almendros, C. (2016). Risky online behaviors among adolescents: longitudinal relations among problematic Internet use, cyberbullying perpetration, and meeting strangers online. Journal of Behavioral Addictions, 5(1), 100–107. https://doi.org/10.1556/2006.5.2016.013

    Article  PubMed  PubMed Central  Google Scholar 

  • Ging, D. & Garvey, S. (2018). ‘Written in these scars are the stories I can’t explain’: a content analysis of pro-ana and thinspiration image sharing on Instagram. New Media and Society, 20(3), 1181–1200. https://doi.org/10.1177/1461444816687288

    Article  Google Scholar 

  • Glaser, B., Shelton, K. H., & van den Bree, M. B. M. (2010). The moderating role of close friends in the relationship between conduct problems and adolescent substance use. Journal of Adolescent Health, 47(1), 35–42. https://doi.org/10.1016/j.jadohealth.2009.12.022

    Article  Google Scholar 

  • Goodman, R., Meltzer, H., & Bailey, V. (1998). The strengths and difficulties questionnaire: a pilot study on the validity of the self-report version. European Child and Adolescent Psychiatry, 7(3), 125–130. https://doi.org/10.1007/s007870050057

    Article  PubMed  Google Scholar 

  • Griffin, A. M., Cleveland, H. H., Schlomer, G. L., Vandenbergh, D. J., Feinberg, M. E., & Griffin, A. M. (2015). Differential susceptibility: the genetic moderation of peer pressure on alcohol use. Journal of Youth and Adolescence, 44(10), 1841–1853. https://doi.org/10.1007/s10964-015-0344-7

    Article  PubMed  PubMed Central  Google Scholar 

  • Grob, A., Stetsenko, A., Sabatier, C., Botcheva, L., & Macek, P. (1999). A Cross National Model of subjective well-being in adolescents. In F. D. Alsake & A. Flammer (Eds.), European and American adolescents in the 1990s (pp. 115–130). Lawrence Erlbaum

  • Harper, K., Sperry, S., & Thompson, J. K. (2008). Viewership of pro-eating disorder websites: association with body image and eating disturbances. International Journal of Eating Disorders, 41(1), 92–95

    Article  PubMed  Google Scholar 

  • Helsper, E. J., & Smahel, D. (2019). 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

    Article  Google Scholar 

  • Helweg-Larsen, K., Schütt, N., & Larsen, H. B. (2012). Predictors and protective factors for adolescent Internet victimization: results from a 2008 nationwide Danish youth survey. Acta Paediatrica, International Journal of Paediatrics, 101(5), 533–539. https://doi.org/10.1111/j.1651-2227.2011.02587.x

    Article  Google Scholar 

  • Hoffman, A. J., Agi, A. C., Rivas-Drake, D., & Jagers, R. J. (2019). Peer support development among Black American and Latinx adolescents: the role of ethnic-racial centrality. Developmental Psychology, 55(12), 2637–2648. https://doi.org/10.1037/dev0000829

    Article  PubMed  Google Scholar 

  • Hyun, G. J., Han, D. H., Lee, Y. S., Kang, K. D., Yoo, S. K., Chung, U. S., & Renshaw, P. F. (2015). Risk factors associated with online game addiction: a hierarchical model. Computers in Human Behavior, 48, 706–713. https://doi.org/10.1016/j.chb.2015.02.008

    Article  Google Scholar 

  • Jessor, R. (1987). Problem-behavior theory, psychosocial development, and adolescent problem drinking. British Journal of Addiction, 82(4), 331–342. https://doi.org/10.1111/j.1360-0443.1987.tb01490.x

    Article  PubMed  Google Scholar 

  • Jessor, R. (1991). Risk behaviour in adolescence: a psychosocial framework for understanding and action. Journal of Adolescent Health, 12, 597–605

    Article  Google Scholar 

  • Jessor, R. (2008). Description versus explanation in cross-national research on adolescence. Journal of Adolescent Health, 43(6), 527–528

    Article  Google Scholar 

  • Jessor, R. (2014). Problem behavior theory: a half century of research on adolescent behavior and development. In R. Lerner, A. C. Petersen, R. K. Silbereisen, & J. Brooks-Gun (Eds.), The developmental science of adolescence: history through autobiography (pp. 239–536). Psychology Press.

  • Jessor, R., Turbin, M. S., Costa, F. M., Dong, Q., Zhang, H., & Wang, C. (2003). Adolescent problem behavior in China and the United States: a cross-national study of psychosocial protective factors. Journal of Research on Adolescence, 13(3), 329–360. https://doi.org/10.1111/1532-7795.1303004

    Article  Google Scholar 

  • Keipi, T., Näsi, M., Oksanen, A., & Räsänen, P. (2017). Online Hate and Harmful Content: Cross-national perspectives. Routledge.

  • Khurana, A., Bleakley, A., Ellithorpe, M. E., Hennessy, M., Jamieson, P. E., & Weitz, I. (2019). Sensation seeking and impulsivity can increase exposure to risky media and moderate its effects on adolescent risk behaviors. Prevention Science, 20(5), 776–787. https://doi.org/10.1007/s11121-019-0984-z

    Article  PubMed  PubMed Central  Google Scholar 

  • Laconi, S., Vigouroux, M., Lafuente, C., & Chabrol, H. (2017). Problematic internet use, psychopathology, personality, defense and coping. Computers in Human Behavior, 73, 47–54. https://doi.org/10.1016/j.chb.2017.03.025

    Article  Google Scholar 

  • Lewis, S. P., & Baker, T. G. (2011). The possible risks of self-injury web sites: a content analysis. Archives of Suicide Research, 15(4), 390–396. https://doi.org/10.1080/13811118.2011.616154

    Article  PubMed  Google Scholar 

  • Li, D., Li, X., Wang, Y., Zhao, L., Bao, Z., & Wen, F. (2013). School connectedness and problematic internet use in adolescents: a moderated mediation model of deviant peer affiliation and self-control. Journal of Abnormal Child Psychology, 41(8), 1231–1242. https://doi.org/10.1007/s10802-013-9761-9

    Article  PubMed  Google Scholar 

  • Livingstone, S., Haddon, L., Görzig, A., & Ólafsson, K. (2011). Risks and safety on the internet: the perspective of European children. Full findings. LSE, London: EU Kids Online

    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

    Article  Google Scholar 

  • Livingstone, S., Kirwil, L., Ponte, C., & Staksrud, E. (2014). In their own words: what bothers children online? European Journal of Communication, 29(3), 271–288. https://doi.org/10.1177/0267323114521045

    Article  Google Scholar 

  • Lobe, B., Livingstone, S., Ólafsson, K., & Vodeb, H. (2011). Crossnational comparison of risks and safety on the internet: initial analysis from the EU Kids Online survey of European children, LSE: EU Kids Online. http://eprints.lse.ac.uk/39608/1/

  • Loke, A. Y., & Mak, Y. (2013). Family process and peer influences on substance use by adolescents. International Journal of Environmental Research and Public Health, 10, 3868–3885. https://doi.org/10.3390/ijerph10093868

    Article  PubMed  PubMed Central  Google Scholar 

  • Macek, P., Ježek, S., & Vazsonyi, A. T. (2013). Adolescents during and after times of social change: the case of the Czech Republic. Journal of Early Adolescence, 33(8), 1029–1047. https://doi.org/10.1177/0272431613507758

    Article  Google Scholar 

  • Madkour, A. S., Farhat, T., Halpern, C. T., Godeau, E., & Gabhainn, S. N. (2010). Early adolescent sexual initiation as a problem behavior: a comparative study of five nations. Journal of Adolescent Health, 47(4), 389–398. https://doi.org/10.1016/j.jadohealth.2010.02.008

    Article  Google Scholar 

  • Maguire, E. R., & Fishbein, D. H. (2016). The influence of family characteristics on problem behaviors in a sample of high-risk Caribbean adolescents. Family Relations, 65(1), 120–133. https://doi.org/10.1111/fare.12179

    Article  Google Scholar 

  • Moyano, N., Ayllón, E., Antoñanzas, J. L., & Cano, J. (2019). Children’s social integration and low perception of negative relationships as protectors against bullying and cyberbullying. Frontiers in Psychology, 10, 1–9. https://doi.org/10.3389/fpsyg.2019.00643

    Article  Google Scholar 

  • Muthén, L. K. & Muthén, B. O. (1998-2017). Mplus User’s Guide (8th ed.). Muthén & Muthén

  • Näsi, M., Räsänen, P., Oksanen, A., Hawdon, J., Keipi, T., & Holkeri, E. (2014). Association between online harassment and exposure to harmful online content: a cross-national comparison between the United States and Finland. Computers in Human Behavior, 41, 137–145. https://doi.org/10.1016/j.chb.2014.09.019

    Article  Google Scholar 

  • Ofcom (2018). Internet users’ experience of harm online: summary of survey research. https://www.ofcom.org.uk/__data/assets/pdf_file/0018/120852/Internet-harm-research-2018-report.pdf

  • Oksanen, A., Näsi, M., Minkkinen, J., Keipi, T., Kaakinen, M., & Räsänen, P. (2016). Young people who access harm-advocating online content: a four-country survey. Cyberpsychology, 10(2). https://doi.org/10.5817/CP2016-2-6

  • Pikó, B. F., & Pinczés, T. (2019). The role of sensation seeking in substance use and sporting among female teachers training college students. European Journal of Mental Health, 14(1), 143–155. https://doi.org/10.5708/EJMH.14.2019.1.7

    Article  Google Scholar 

  • Pössel, P., Burton, S. M., Cauley, B., Sawyer, M. G., Spence, S. H., & Sheffield, J. (2018). Associations between social support from family, friends, and teachers and depressive symptoms in adolescents. Journal of Youth and Adolescence, 47(2), 398–412. https://doi.org/10.1007/s10964-017-0712-6

    Article  PubMed  Google Scholar 

  • Răcătău, I.-M. (2013). Adolescents and identity formation in a risky online environment. The role of negative user-generated and xenophobic websites. Journal of Media Research, 6(3), 16–36

    Google Scholar 

  • R Core Team. (2020). R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/

  • Rosseel, Y. (2012). “lavaan: an R package for structural equation modeling.”. Journal of Statistical Software, 48(2), 1–36. http://www.jstatsoft.org/v48/i02/

  • Rowland, B., Jonkman, H., Steketee, M., Solomon, R. J., Solomon, S., & Toumbourou, J. W. (2021). A cross-national comparison of the development of adolescent problem behavior: a 1-year longitudinal study in India, the Netherlands, the USA, and Australia. Prevention Science, 22(1), 62–72. https://doi.org/10.1007/s11121-019-01007-3

    Article  PubMed  Google Scholar 

  • Ševčíková, A. (2016). Girls’ and boys’ experience with teen sexting in early and late adolescence. Journal of Adolescence, 51, 156–162. https://doi.org/10.1016/j.adolescence.2016.06.007

    Article  PubMed  Google Scholar 

  • Sheldon, P. (2012). Profiling the non-users: examination of life-position indicators, sensation seeking, shyness, and loneliness among users and non-users of social network sites. Computers in Human Behavior, 28(5), 1960–1965. https://doi.org/10.1016/j.chb.2012.05.016

    Article  Google Scholar 

  • Slater, M. D. (2003). Alienation, aggression, and sensation seeking as predictors of adolescent use of violent film, computer, and website content. Journal of Communication, 53(1), 105–121. https://doi.org/10.1093/joc/53.1.105

    Article  Google Scholar 

  • Smahel, D., Machackova, H., Mascheroni, G., Dedkova, L., Staksrud, E., Ólafsson, K., Livingstone, S., & Hasebrink, U. (2020). EU Kids Online 2020: survey results from 19 countries. https://doi.org/10.21953/lse.47fdeqj01ofo

  • Steinberg, L., Icenogle, G., Shulman, E. P., Breiner, K., Chein, J., Bacchini, D., Chang, L., Chaudhary, N., Giunta, L. D., Dodge, K. A., Fanti, K. A., Lansford, J. E., Malone, P. S., Oburu, P., Pastorelli, C., Skinner, A. T., Sorbring, E., Tapanya, S., Tirado, L. M. U., & Alampay, L. P. (2018). Around the world, adolescence is a time of heightened sensation seeking and immature self-regulation. Developmental Science, 21(2), https://doi.org/10.1111/desc.12532

  • Subrahmanyam, K., & Smahel, D. (2011). Digital youth. The role of media in development. Springer.

  • Symons, K., Ponnet, K., Walrave, M., & Heirman, W. (2017). A qualitative study into parental mediation of adolescents’ internet use. Computers in Human Behavior, 73, 423–432. https://doi.org/10.1016/j.chb.2017.04.004

    Article  Google Scholar 

  • Van der Graaff, J., Branje, S., De Wied, M., & Meeus, W. (2012). The moderating role of empathy in the association between parental support and adolescent aggressive and delinquent behavior. Aggressive Behavior, 38(5), 368–377. https://doi.org/10.1002/ab.21435

    Article  PubMed  Google Scholar 

  • Vazsonyi, A. T., Chen, P., Jenkins, D. D., Burcu, E., Torrente, G., & Sheu, C. J. (2010). Jessor’s problem behavior theory: cross-national evidence from Hungary, the Netherlands, Slovenia, Spain, Switzerland, Taiwan, Turkey, and the United States. Developmental Psychology, 46(6), 1779–1791. https://doi.org/10.1037/a0020682

    Article  PubMed  Google Scholar 

  • Vazsonyi, A. T., Chen, P., Young, M., Jenkins, D., Browder, S., Kahumoku, E., Pagava, K., Phagava, H., Jeannin, A., & Michaud, P. A. (2008). A test of Jessor’s problem behavior theory in a Eurasian and a Western European developmental context. Journal of Adolescent Health, 43(6), 555–564. https://doi.org/10.1016/j.jadohealth.2008.06.013

    Article  Google Scholar 

  • Vierhaus, M., & Lohaus, A. (2008). Children and parents as informants of emotional and behavioural problems predicting female and male adolescent risk behaviour: a longitudinal cross-informant study. Journal of Youth and Adolescence, 37(2), 211–224. https://doi.org/10.1007/s10964-007-9193-3

    Article  Google Scholar 

  • Wachs, S., Wright, M. F., Sittichai, R., Singh, R., Biswal, R., Kim, E. M., Yang, S., Gámez-Guadix, M., Almendros, C., Flora, K., Daskalou, V., & Maziridou, E. (2019). Associations between witnessing and perpetrating online hate in eight countries: the buffering effects of problem-focused coping. International Journal of Environmental Research and Public Health, 16(20). https://doi.org/10.3390/ijerph16203992

  • WHO. (2016). Growing up unequal: gender and socioeconomic differences in young people’ s health and well-being. Health behaviour in school-aged children (HBSC) study: international report from the 2013/2014 survey. In: J. C. Inchley, D. B. Currie, T. Young, O. Samdal, T. Torsheim, L. Augustson, V. Barnekow, (Eds.), Health Policy for Children and Adolescents (Vol. 7). WHO Regional Office for Europe

  • Whittle, H., Hamilton-Giachritsis, C., Beech, A., & Collings, G. (2013). A review of young people’s vulnerabilities to online grooming. Aggression and Violent Behavior, 18(1), 135–146. https://doi.org/10.1016/j.avb.2012.11.008

    Article  Google Scholar 

  • Wisniewski, P., Jia, H., Wang, N., Zheng, S., Xu, H., Rosson, M. B., & Carroll, J. M. (2015). Resilience mitigates the negative effects of adolescent internet addiction and online risk exposure [Paper presentation]. Conference on Human Factors in Computing Systems, Seoul, Korea. https://doi.org/10.1145/2702123.2702240

  • Wolak, J., Mitchell, K. J., & Finkelhor, D. (2003). Escaping or connecting? Characteristics of youth who form close online relationships. Journal of Adolescence, 26(1), 105–119. https://doi.org/10.1016/S0140-1971(02)00114-8

    Article  PubMed  Google Scholar 

  • Zimet, G. D., Dahlem, N. W., Zimet, S. G., Gordon, K., & Farley, G. K. (2010). The multidimensional scale of perceived social support. Journal of Personality Assessment, 52(1), 37–41. https://doi.org/10.1207/s15327752jpa5201

    Article  Google Scholar 

  • Zlamal, R., Machackova, H., Smahel, D., Abramczuk, K., Ólafsson, K., & Staksrud, E. (2020). EU Kids Online 2020: Technical report. EU Kids Online. https://doi.org/10.21953/lse.04dr94matpy7

Download references

Acknowledgements

The authors acknowledge the support of Eliska Dufkova, M.A., David Lacko, M.A., and the members of the EU Kids Online network.

Author information

Authors and Affiliations

Authors

Contributions

N.K. conceived of the study, participated in its design, contributed to the interpretation the data, drafted the paper, and performed the statistical analysis; D.S. conceived of the study, participated in the coordination of the study, helped with its design, contributed to the interpretation of the data, and helped to draft the paper; H.M. participated in the design of the study, the interpretation of the data, and the draft of the paper; K.S. participated in the interpretation of the data and helped draft the paper. All of the authors read and approved of the final paper.

Funding

This research was funded by Czech Science Foundation, grant number 19-27828X (project FUTURE).

Data Sharing and Declaration

The data are not currently available, but the EU Kids Online Network (https://www.lse.ac.uk/media-and-communications/research/research-projects/eu-kids-online) will publish them in the second half of 2021.

Corresponding author

Correspondence to Nikol Kvardova.

Ethics declarations

Conflict of Interest

The authors declare no competing interests.

Ethical Approval

All procedures performed in the study were in accordance with the ethical standards of the institutional and/or national research committees, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. In all countries where the data was collected, the administration of the questionnaire followed fundamental ethical guidelines and adhered to national rules and conditions.

Informed Consent

Prior to the data collection, written informed consent was obtained from a parent or legal guardian of the child, and written or verbal consent was obtained from the child. The data was collected only from participants who provided informed consent.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kvardova, N., Smahel, D., Machackova, H. et al. Who Is Exposed to Harmful Online Content? The Role of Risk and Protective Factors Among Czech, Finnish, and Spanish Adolescents. J Youth Adolescence 50, 2294–2310 (2021). https://doi.org/10.1007/s10964-021-01422-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10964-021-01422-2

Keywords

Navigation