research-article
Authors: Truong Pham, Daisaku Goto, and Duc Tran
Volume 156, Issue C
Published: 09 July 2024 Publication History
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Abstract
With the rapid expansion of internet accessibility, children urgently need to be educated in online safety skills. We conducted a randomized controlled trial (RCT) with 1399 students from 22 junior high schools in Vietnam to assess the impact of an online safety program on their online behaviors. We designed our experiment to capture both the direct and spillover effects of the training program. We combined the RCT with list experiments, an indirect questioning method, to mitigate bias in the measurement of sensitive outcomes. Our impact estimates show the positive effects of the program. Specifically, participation in the program reduced students' identity disclosure on social networking sites (SNSs) by 9.3–16.8 percentage points, increased their online account security practices by 8.9–17.9 percentage points, and decreased their interactions with strangers online by 13.6–23.4 percentage points. Notably, using outcomes measured by the list experiments, we show that the program reduced sensitive and risky online behaviors by 34.7–47.0 percentage points, a result that would not have been revealed with conventional direct questioning. We also observed evidence of spillover effects on nonparticipants in the same schools. Our findings support the implementation of educational programs to enhance children's online safety.
Highlights
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We conducted a RCT to evaluate the impact of an online safety program on children.
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The study combines list experiments to mitigate social desirability biases.
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The online safety program mitigates risky online behaviors among children.
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List experiments reveal a reduction in sensitive behaviors of 34.7–47.0 percentage points.
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We observe evidence of positive spillover effects on nonparticipants.
References
[1]
S. Ahmad, R. Lensink, A. Mueller, Religion, social desirability bias and financial inclusion: Evidence from a list experiment on Islamic (micro-)finance, Journal of Behavioral and Experimental Finance 38 (100795) (2023),.
[2]
J. Alemany, E. Del Val, J. Alberola, A. García-Fornes, Enhancing the privacy risk awareness of teenagers in online social networks through soft-paternalism mechanisms, International Journal of Human-Computer Studies 129 (2019) 27–40,.
Digital Library
[3]
J.C. Andrews, K.L. Walker, J. Kees, Children and online privacy protection: Empowerment from cognitive defense strategies, Journal of Public Policy and Marketing 39 (2) (2020) 205–219,.
[4]
G. Blair, K. Imai, Statistical analysis of list experiments, Political Analysis 20 (1) (2012) 47–77,.
[5]
R.L. Collins, V.C. Strasburger, J.D. Brown, E. Donnerstein, A. Lenhart, L.M. Ward, Sexual media and childhood well-being and health, Pediatrics 140 (Supplement_2) (2017) S162–S166,.
[6]
L. Desimpelaere, L. Hudders, D. Van De Sompel, Knowledge as a strategy for privacy protection: How a privacy literacy training affects children's online disclosure behavior, Computers in Human Behavior 110 (106382) (2020),.
[7]
S. Edwards, A. Nolan, M. Henderson, A. Mantilla, L. Plowman, H. Skouteris, Young children's everyday concepts of the internet: A platform for cyber-safety education in the early years: Young children's everyday concepts about the internet, British Journal of Educational Technology 49 (1) (2018) 45–55,.
[8]
A. El-Asam, A. Katz, C. Street, N.M. Nazar, M. Livanou, Children's services for the digital age: A qualitative study into current procedures and online risks among service users, Children and Youth Services Review 122 (105872) (2021),.
[9]
Y. Feng, W. Xie, Teens' concern for privacy when using social networking sites: An analysis of socialization agents and relationships with privacy-protecting behaviors, Computers in Human Behavior 33 (2014) 153–162,.
Digital Library
[10]
D. Finkelhor, K. Walsh, L. Jones, K. Mitchell, A. Collier, Youth internet safety education: Aligning programs with the evidence base, Trauma, Violence, & Abuse 22 (5) (2021) 1233–1247,.
[11]
General Statistics Office (2020): Completed results of the 2019 Vietnam population and housing census. Statistical publishing house. http://tongdieutradanso.vn/12-completed-results-of-the-2019-census.html.
[12]
U. Hasebrink, S.M. Livingstone, V. Donoso, B. Lobe, Comparing children's online opportunities and risks across europe: Cross-national comparisons for EU Kids online : [European research on cultural, contextual and risk issues in children's safe use of the internet and new media (2006-2009)], in: L. Haddon (Ed.), EU Kids online, 2008.
[13]
B. Hayes, A. James, R. Barn, D. Watling, Children's risk and benefit behaviours on social networking sites, Computers in Human Behavior 130 (107147) (2022),.
Digital Library
[14]
B. Hofstra, R. Corten, F. Van Tubergen, Understanding the privacy behavior of adolescents on Facebook: The role of peers, popularity and trust, Computers in Human Behavior 60 (2016) 611–621,.
Digital Library
[15]
L.B. Hurwitz, K.L. Schmitt, Can children benefit from early internet exposure? Short- and long-term links between internet use, digital skill, and academic performance, Computers & Education 146 (2020),.
Digital Library
[16]
K. Imai, Quantitative social science: An introduction, Princeton University Press, 2018, https://press.princeton.edu/books/hardcover/9780691167039/quantitative-social-science.
[17]
ITU, Measuring digital development facts and Figures 2022, ITUPublications, 2022, https://www.itu.int/itu-d/reports/statistics/facts-figures-2022/.
[18]
ITU (2023): Population of global offline continues steady decline to 2.6 billion people in 2023. ITU. https://www.itu.int:443/en/mediacentre/Pages/PR-2023-09-12-universal-and-meaningful-connectivity-by-2030.aspx.
[19]
G. Koletić, Longitudinal associations between the use of sexually explicit material and adolescents' attitudes and behaviors: A narrative review of studies, Journal of Adolescence 57 (1) (2017) 119–133,.
[20]
I. Kwan, K. Dickson, M. Richardson, W. MacDowall, H. Burchett, C. Stansfield, G. Brunton, K. Sutcliffe, J. Thomas, Cyberbullying and children and young people's mental health: A systematic map of systematic reviews, Cyberpsychology, Behavior, and Social Networking 23 (2) (2020) 72–82,.
[21]
F. Lazarinis, K. Alexandri, C. Panagiotakopoulos, V.S. Verykios, Sensitizing young children on internet addiction and online safety risks through storytelling in a mobile application, Education and Information Technologies 25 (1) (2020) 163–174,.
Digital Library
[22]
A.K. Liau, Y. Park, D.A. Gentile, D.P. Katna, C.H.A. Tan, A. Khoo, iZ HERO adventure: Evaluating the effectiveness of a peer-mentoring and transmedia cyberwellness program for children, Psychology of Popular Media Culture 6 (4) (2017) 326–337,.
[23]
S. Livingstone, E. Helsper, Balancing opportunities and risks in teenagers' use of the internet: The role of online skills and internet self-efficacy, New Media & Society 12 (2) (2010) 309–329,.
[24]
P. Mertala, Young children's perceptions of ubiquitous computing and the Internet of Things, British Journal of Educational Technology 51 (1) (2020) 84–102,.
[25]
I. Mulero-Henríquez, R. Pérez-Solís, S. Falcon, Impact of ICT and social networks on students: An analysis of gender-based attitudinal profiles, Education and Information Technologies (2023),.
Digital Library
[26]
S.P. Nicholson, H. Huang, Making the list: Reevaluating political trust and social desirability in China, American Political Science Review 117 (3) (2023) 1158–1165,.
[27]
D.L. Paulhus, Two-component models of socially desirable responding, Journal of Personality and Social Psychology 46 (3) (1984) 598–609,.
[28]
B. Rosenfeld, K. Imai, J.N. Shapiro, An empirical validation study of popular survey methodologies for sensitive questions, American Journal of Political Science 60 (3) (2016) 783–802,.
[29]
D.B. Rubin, Estimating causal effects of treatments in randomized and nonrandomized studies, Journal of Educational Psychology 66 (5) (1974) 688–701,.
[30]
B. Sinclair, M. McConnell, D.P. Green, Detecting spillover effects: Design and analysis of multilevel experiments, American Journal of Political Science 56 (4) (2012) 1055–1069,.
[31]
P.C.-H. Soh, K.W. Chew, K.Y. Koay, P.H. Ang, Parents vs peers' influence on teenagers' Internet addiction and risky online activities, Telematics and Informatics 35 (1) (2018) 225–236,.
[32]
N. Steinfeld, Parental mediation of adolescent Internet use: Combining strategies to promote awareness, autonomy and self-regulation in preparing youth for life on the web, Education and Information Technologies 26 (2) (2021) 1897–1920,.
Digital Library
[33]
United Nations, Achieving universal connectivity by 2030, United Nations, 2023, https://www.un.org/techenvoy/content/global-connectivity.
[34]
C. Yu, A.E. Kågesten, S. De Meyer, C. Moreau, M. Van Reeuwijk, C. Lou, p*rnography use and perceived gender norms among young adolescents in urban poor environments: A cross-site study, Journal of Adolescent Health 69 (1) (2021) S31–S38,.
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Information
Published In
Computers in Human Behavior Volume 156, Issue C
Jul 2024
447 pages
ISSN:0747-5632
Issue’s Table of Contents
Elsevier Ltd.
Publisher
Elsevier Science Publishers B. V.
Netherlands
Publication History
Published: 09 July 2024
Author Tags
- Online risks
- Risky online behaviors
- Online safety education
- Randomized controlled trials
- List experiments
- Spillover effects
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