On the public citation graph

Children’s Safety on YouTube: A Systematic Review

https://doi.org/10.3390/app13064044
0 signed · 140 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jamanetworkopen.2021.9890openalex-snapshot
Frequency and Duration of Advertising on Popular Child-Directed Channels on a Video-Sharing Platform
inferredcites →https://doi.org/10.1002/rmv.2132openalex-snapshot
YouTube as a source of patient information for Coronavirus Disease ( COVID ‐19): A content‐quality and audience engagement analysis
inferredcites →https://doi.org/10.1007/978-3-031-21199-7openalex-snapshot
Kids Cybersecurity Using Computational Intelligence Techniques
inferredcites →https://doi.org/10.1007/bf00914244openalex-snapshot
The Effects of Peer Modeling on Acquisition and Generalization in Autistic Children
inferredcites →https://doi.org/10.1007/s00530-020-00672-7openalex-snapshot
Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data
inferredcites →https://doi.org/10.1007/s00607-019-00745-0openalex-snapshot
Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach
inferredcites →https://doi.org/10.1007/s10560-017-0498-0openalex-snapshot
Cyberbullying on Online Gaming Platforms for Children and Youth
inferredcites →https://doi.org/10.1007/s11042-022-12709-2openalex-snapshot
A multi-modal approach to detect inappropriate cartoon video contents using deep learning networks
inferredcites →https://doi.org/10.1007/s11121-019-01029-xopenalex-snapshot
Applying Natural Language Processing to Evaluate News Media Coverage of Bullying and Cyberbullying
inferredcites →https://doi.org/10.1007/s11126-017-9535-6openalex-snapshot
Social Media Use and Mental Health among Young Adults
inferredcites →https://doi.org/10.1007/s40747-021-00608-2openalex-snapshot
ETHOS: a multi-label hate speech detection dataset
inferredcites →https://doi.org/10.1007/s41060-017-0088-4openalex-snapshot
Deep learning for detecting inappropriate content in text
inferredcites →https://doi.org/10.1007/s42979-021-00977-yopenalex-snapshot
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
inferredcites →https://doi.org/10.1007/s43546-021-00122-0openalex-snapshot
The battle of YouTube, TV and Netflix: an empirical analysis of competition in audiovisual media markets
inferredcites →https://doi.org/10.1016/j.adolescence.2017.08.005openalex-snapshot
Adolescent social media use and mental health from adolescent and parent perspectives
inferredcites →https://doi.org/10.1016/j.appet.2019.104501openalex-snapshot
Adolescents’ engagement with unhealthy food and beverage brands on social media
inferredcites →https://doi.org/10.1016/j.chc.2016.12.007openalex-snapshot
Social Media as It Interfaces with Psychosocial Development and Mental Illness in Transitional Age Youth
inferredcites →https://doi.org/10.1016/j.fsidi.2022.301436openalex-snapshot
Detecting and ranking pornographic content in videos
inferredcites →https://doi.org/10.1016/j.jad.2020.06.014openalex-snapshot
A meta-analysis of the association between adolescent social media use and depressive symptoms
inferredcites →https://doi.org/10.1016/j.jadohealth.2020.07.042openalex-snapshot
Social Media and Mental Health Among Early Adolescents in Sweden: A Longitudinal Study With 2-Year Follow-Up (KUPOL Study)
inferredcites →https://doi.org/10.1016/j.jksuci.2021.03.001openalex-snapshot
CyberAid: Are your children safe from cyberbullying?
inferredcites →https://doi.org/10.1016/j.tele.2020.101362openalex-snapshot
Cyberbullying perpetration and victimization among children and adolescents: A systematic review of longitudinal studies
inferredcites →https://doi.org/10.1017/s1368980018001866openalex-snapshot
Like and share: associations between social media engagement and dietary choices in children
inferredcites →https://doi.org/10.1038/s41746-020-0233-7openalex-snapshot
Methods in predictive techniques for mental health status on social media: a critical review
inferredcites →https://doi.org/10.1080/0144929x.2022.2116599openalex-snapshot
Personality and emotion based cyberbullying detection on YouTube using ensemble classifiers
inferredcites →https://doi.org/10.1080/02673843.2019.1590851openalex-snapshot
A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents
inferredcites →https://doi.org/10.1080/09638237.2020.1714007openalex-snapshot
Social media and adolescent mental health: the good, the bad and the ugly
inferredcites →https://doi.org/10.1080/1369118x.2019.1672766openalex-snapshot
What are teens doing with YouTube? Practices, uses and metaphors of the most popular audio-visual platform
inferredcites →https://doi.org/10.1089/chi.2018.0037openalex-snapshot
What's on YouTube? A Case Study on Food and Beverage Advertising in Videos Targeted at Children on Social Media
inferredcites →https://doi.org/10.1089/cyber.2019.0488openalex-snapshot
Understanding the YouTube Generation: How Preschoolers Process Television and YouTube Advertising
inferredcites →https://doi.org/10.1109/access.2021.3114389openalex-snapshot
Keeping Children Safe Online With Limited Resources: Analyzing What is Seen and Heard
inferredcites →https://doi.org/10.1109/access.2022.3147519openalex-snapshot
A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Videos
inferredcites →https://doi.org/10.1109/aiccsa47632.2019.9035276openalex-snapshot
Detection of Arabic Cyberbullying on Social Networks using Machine Learning
inferredcites →https://doi.org/10.1109/asonam.2018.8508766openalex-snapshot
Analyzing Disinformation and Crowd Manipulation Tactics on YouTube
inferredcites →https://doi.org/10.1109/conit51480.2021.9498368openalex-snapshot
Utilizing Topic Modelling To Identify Abusive Comments On YouTube
inferredcites →https://doi.org/10.1109/csnet.2017.8242005openalex-snapshot
Multilingual cyberbullying detection system: Detecting cyberbullying in Arabic content
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/hnicem.2018.8666227openalex-snapshot
A Pornographic Image and Video Filtering Application Using Optimized Nudity Recognition and Detection Algorithm
inferredcites →https://doi.org/10.1109/icassp.2017.7952263openalex-snapshot
Large-scale audio event discovery in one million YouTube videos
inferredcites →https://doi.org/10.1109/icccnt51525.2021.9580154openalex-snapshot
An Attention on Sentiment Analysis of Child Abusive Public Comments Towards Bangla Text and ML
inferredcites →https://doi.org/10.1109/icecct.2019.8869399openalex-snapshot
Prediction of Addiction to Social Media
inferredcites →https://doi.org/10.1109/icict50816.2021.9358624openalex-snapshot
Profanity Detection and Removal in Videos using Machine Learning
inferredcites →https://doi.org/10.1109/iciset.2018.8745565openalex-snapshot
Detecting Abusive Comments in Discussion Threads Using Naïve Bayes
inferredcites →https://doi.org/10.1109/icmla.2015.37openalex-snapshot
TubeSpam: Comment Spam Filtering on YouTube
inferredcites →https://doi.org/10.1109/icrito51393.2021.9596364openalex-snapshot
Sentiment Analysis on YouTube Videos for kids: Review
inferredcites →https://doi.org/10.1109/icsipa.2017.8120658openalex-snapshot
Retrieving YouTube video by sentiment analysis on user comment
inferredcites →https://doi.org/10.1109/inmic.2018.8595563openalex-snapshot
Detection of Violent Content in Cartoon Videos Using Multimedia Content Detection Techniques
inferredcites →https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00074openalex-snapshot
Arabic Cyberbullying Detection: Enhancing Performance by Using Ensemble Machine Learning
inferredcites →https://doi.org/10.1109/iwbf.2019.8739202openalex-snapshot
Combating the Elsagate Phenomenon: Deep Learning Architectures for Disturbing Cartoons
inferredcites →https://doi.org/10.1109/pst.2016.7906950openalex-snapshot
KidsTube: Detection, characterization and analysis of child unsafe content & promoters on YouTube
inferredcites →https://doi.org/10.1109/sec50012.2020.00046openalex-snapshot
Hiding in Plain Sight: A Measurement and Analysis of Kids’ Exposure to Malicious URLs on YouTube
inferredcites →https://doi.org/10.1109/zinc50678.2020.9161808openalex-snapshot
Discovery of Elsagate: Detection of Sparse Inappropriate Content from Kids Videos
inferredcites →https://doi.org/10.1111/apa.14136openalex-snapshot
Reviewing and addressing the link between mass media and the increase in obesity among European children: The European Academy of Paediatrics (EAP) and The European Childhood Obesity Group (ECOG) consensus statement
inferredcites →https://doi.org/10.1111/ijpo.12508openalex-snapshot
Children and adolescents' exposure to food and beverage marketing in social media apps
inferredcites →https://doi.org/10.1111/ijpo.12606openalex-snapshot
Fast food, beverage, and snack brands on social media in the United States: An examination of marketing techniques utilized in 2000 brand posts
inferredcites →https://doi.org/10.1145/3297280.3297487openalex-snapshot
KidsGUARD
inferredcites →https://doi.org/10.1145/3340531.3418511openalex-snapshot
Detecting and Measuring the Exposure of Children and Adolescents to Inappropriate Comments in YouTube
inferredcites →https://doi.org/10.1145/3341161.3342913openalex-snapshot
Bringing the kid back into YouTube kids
inferredcites →https://doi.org/10.1145/3351095.3372879openalex-snapshot
Auditing radicalization pathways on YouTube
inferredcites →https://doi.org/10.1145/3442442.3452314openalex-snapshot
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube
inferredcites →https://doi.org/10.1145/3462671openalex-snapshot
Preserving integrity in online social networks
inferredcites →https://doi.org/10.1145/3501247.3531556openalex-snapshot
YouTubers Not madeForKids: Detecting Channels Sharing Inappropriate Videos Targeting Children
inferredcites →https://doi.org/10.1145/3539609openalex-snapshot
SkillBot: Identifying Risky Content for Children in Alexa Skills
inferredcites →https://doi.org/10.1146/annurev-devpsych-121318-084848openalex-snapshot
The Development of Cumulative Cultural Learning
inferredcites →https://doi.org/10.1155/2018/1463546openalex-snapshot
Explicit Content Detection System: An Approach towards a Safe and Ethical Environment
inferredcites →https://doi.org/10.1177/0004867419846393openalex-snapshot
Prevalence of traditional bullying and cyberbullying among children and adolescents in Australia: A systematic review and meta-analysis
inferredcites →https://doi.org/10.1177/0044118x16659685openalex-snapshot
Parent–Child Connections on Social Networking Sites and Cyberbullying
inferredcites →https://doi.org/10.1177/1359104518775154openalex-snapshot
Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents
inferredcites →https://doi.org/10.1177/14614448211049264openalex-snapshot
‘Disturbing’ children’s YouTube genres and the algorithmic uncanny
inferredcites →https://doi.org/10.1177/15274764211052882openalex-snapshot
Branding Kidfluencers: Regulating Content and Advertising on YouTube
inferredcites →https://doi.org/10.1177/2056305117707189openalex-snapshot
YouTube Kids: The App Economy and Mobile Parenting
inferredcites →https://doi.org/10.1177/2056305118790761openalex-snapshot
Mimetic Production in YouTube Toy Unboxing Videos
inferredcites →https://doi.org/10.12928/telkomnika.v20i1.18630openalex-snapshot
Natural language processing and machine learning based cyberbullying detection for Bangla and Romanized Bangla texts
inferredcites →https://doi.org/10.1344/der.2022.41.32-43openalex-snapshot
YouTube videos for young children: an exploratory study
inferredcites →https://doi.org/10.14569/ijacsa.2019.0100587openalex-snapshot
Social Media Cyberbullying Detection using Machine Learning
inferredcites →https://doi.org/10.1503/cmaj.190434openalex-snapshot
Smartphones, social media use and youth mental health
inferredcites →https://doi.org/10.1542/peds.2011-0054openalex-snapshot
The Impact of Social Media on Children, Adolescents, and Families
inferredcites →https://doi.org/10.1542/peds.2016-1758gopenalex-snapshot
Digital Media, Anxiety, and Depression in Children
inferredcites →https://doi.org/10.1542/peds.2018-2554openalex-snapshot
Social Media Influencer Marketing and Children’s Food Intake: A Randomized Trial
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301671openalex-snapshot
Violence Rating Prediction from Movie Scripts
inferredcites →https://doi.org/10.1609/aaai.v36i11.21470openalex-snapshot
‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube
inferredcites →https://doi.org/10.1609/icwsm.v14i1.7320openalex-snapshot
Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children
inferredcites →https://doi.org/10.18357/jcs462202119934openalex-snapshot
Unboxing Childhood: Risk and Responsibility in the Age of YouTube
inferredcites →https://doi.org/10.18653/v1/2021.ecnlp-1.15openalex-snapshot
Detect Profane Language in Streaming Services to Protect Young Audiences
inferredcites →https://doi.org/10.2196/jmir.9044openalex-snapshot
Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review
inferredcites →https://doi.org/10.2196/resprot.8229openalex-snapshot
Assessing the Feasibility of a Social Media to Promote Weight Management Engagement in Adolescents with Severe Obesity: Pilot Study
inferredcites →https://doi.org/10.22059/jitm.2020.300799.2501openalex-snapshot
Effect of Social Media Adoption and Media Needs on Online Purchase Behavior: The Moderator Roles of Media Type, Gender, Age
inferredcites →https://doi.org/10.22214/ijraset.2022.43683openalex-snapshot
Cyberbullying Detection using Natural Language Processing
inferredcites →https://doi.org/10.3389/fpsyg.2019.02685openalex-snapshot
What Is Influencer Marketing and How Does It Target Children? A Review and Direction for Future Research
inferredcites →https://doi.org/10.3389/fpsyg.2019.03042openalex-snapshot
Disclosing Influencer Marketing on YouTube to Children: The Moderating Role of Para-Social Relationship
inferredcites →https://doi.org/10.3389/fpubh.2021.634909openalex-snapshot
Cyberbullying Among Adolescents and Children: A Comprehensive Review of the Global Situation, Risk Factors, and Preventive Measures
inferredcites →https://doi.org/10.3390/ijerph15071343openalex-snapshot
Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method
inferredcites →https://doi.org/10.3390/ijerph15122664openalex-snapshot
Parenting Practices as Risk or Preventive Factors for Adolescent Involvement in Cyberbullying: Contribution of Children and Parent Gender
inferredcites →https://doi.org/10.3390/ijerph16030492openalex-snapshot
Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation
inferredcites →https://doi.org/10.36941/ajis-2021-0083openalex-snapshot
Exploring Informal Learning Opportunities via YouTube Kids among Children During COVID-19
inferredcites →https://doi.org/10.37467/gka-revtechno.v10.2696openalex-snapshot
Science on Youtube: Successful Edutubers
inferredcites →https://doi.org/10.3998/3336451.0011.305openalex-snapshot
YouTube Users Watching and Sharing the News: A Uses and Gratifications Approach
inferredcites →https://doi.org/10.4185/rlcs-2018-1303enopenalex-snapshot
Kid influencers on YouTube. A space for responsibility
inferredcites →https://doi.org/10.48550/arxiv.1908.04531openalex-snapshot
Offensive Language and Hate Speech Detection for Danish
inferredcites →https://doi.org/10.63317/485svdjykf5eopenalex-snapshot
A Multi-Lingual Dictionary of Dirty Words
inferredcites →https://doi.org/10.7717/peerj-cs.742openalex-snapshot
Abusive language detection in youtube comments leveraging replies as conversational context

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4643058openalex-extracted
Patterns of Youtube Interaction Among Emirati Children: A Study of Media Engagement and Influence
inferred← citeshttps://doi.org/10.1007/978-3-031-80334-5_4openalex-snapshot
Early Depression Detection from Social Media: State-of-the-Art Approaches
inferred← citeshttps://doi.org/10.1007/978-3-031-80334-5_6openalex-snapshot
From Disease Detection to Health Campaigns: The Role of Social Media Analytics in Public Health
inferred← citeshttps://doi.org/10.1007/978-3-031-80334-5_9openalex-snapshot
Quantum Computing: Transforming Cybersecurity and Social Media in the Digital Age
inferred← citeshttps://doi.org/10.1007/978-3-031-99466-1_11openalex-snapshot
AI-Driven Content Filtering and Access Management Systems: Enhancing Online Safety and Digital Resource Accessibility
inferred← citeshttps://doi.org/10.1007/978-3-032-29900-0_14openalex-snapshot
Beyond Bias and Usability: Policy-Guided Inclusive Design for Cognitive and Emotional Safety in AI Digital Platforms
inferred← citeshttps://doi.org/10.1007/s12144-025-08868-8openalex-snapshot
Investigating social media challenges: a qualitative study
inferred← citeshttps://doi.org/10.1007/s13278-025-01540-wopenalex-snapshot
Potential Exposure of Kids to Age-Inappropriate Content on Twitch: A Comparative Cross-Country Study
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131724openalex-snapshot
SAFEPLAY-X: A comprehensive gameplay video dataset for violence detection with explainable deep learning applications
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116641openalex-snapshot
Privacy-preserving on-device detection of sexually explicit visual content for child safety
inferred← citeshttps://doi.org/10.1016/j.tele.2026.102472openalex-snapshot
Algorithmic visibility of child-directed content: Exposure and persistence dynamics in YouTube trending lists across 113 countries
inferred← citeshttps://doi.org/10.1080/01416200.2026.2614593openalex-snapshot
Religious toleration, peace and the docutube method: integrating filmmaking in religious and moral education
inferred← citeshttps://doi.org/10.1086/734128openalex-snapshot
Content Analysis of Child Abuse Risks in YouTube Mukbang Video
inferred← citeshttps://doi.org/10.1097/mop.0000000000001342openalex-snapshot
Caring for screenagers (Part 1): a pediatrician's primer on popular social media platforms
inferred← citeshttps://doi.org/10.1109/access.2024.3420131openalex-snapshot
Toward Multi-Modal Approach for Identification and Detection of Cyberbullying in Social Networks
inferred← citeshttps://doi.org/10.1109/aisei68628.2026.11572750openalex-snapshot
A Multi-Modal AI Decision Framework for Video Content Moderation Using FNSS, Deep Learning, and NLP
inferred← citeshttps://doi.org/10.1109/hnicem64917.2024.11258813openalex-snapshot
Education Management Information System Features Desired by Teachers in the Philippines
inferred← citeshttps://doi.org/10.1109/icetes68504.2026.11518668openalex-snapshot
A Systematic Literature Review of Machine Learning Methods for Youtube Popularity Prediction
inferred← citeshttps://doi.org/10.1109/iciet60671.2024.10542711openalex-snapshot
Enhancing Learning Effectiveness Through YouTube Kids: A Case Study of Arts and Craft Learning in Malaysia
inferred← citeshttps://doi.org/10.1109/iq-cchess56596.2023.10391638openalex-snapshot
Mitigating Health Risks and Ensuring Safe Video Streaming Environments through Automated Video Content Moderation
inferred← citeshttps://doi.org/10.1109/mic.2026.3714565openalex-snapshot
Governing Children’s and Adolescents’ Exposure on Social Media: A Taxonomy of Risks and Harms
inferred← citeshttps://doi.org/10.1145/3627508.3638303openalex-snapshot
Product Spam on YouTube: A Case Study
inferred← citeshttps://doi.org/10.1145/3806384openalex-snapshot
The Missing Resources for Child Online Risk Detection
inferred← citeshttps://doi.org/10.1177/29768357261478677openalex-snapshot
Parent Perspectives on E-Mentoring for Urban Youth to Address Substance Use, Violence, and Other Youth Challenges
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9101753/v1openalex-snapshot
Deep Learning-Based Framework for Filtering Objectionable Scenes in Cartoon Videos
inferred← citeshttps://doi.org/10.21275/mr23914100015openalex-snapshot
Detecting and Classifying Inappropriate Content in Youtube Videos Using Deep Learning Approach
inferred← citeshttps://doi.org/10.2139/ssrn.6993638openalex-snapshot
Violence in Cartoons and Adult Perceptions of Child Behavior: Media Violence, Aggression, and Psychological Risk
inferred← citeshttps://doi.org/10.22521/edupij.2025.14.79openalex-snapshot
Patterns of YouTube interaction among Emirati children: A Study of Media Engagement and Influence
inferred← citeshttps://doi.org/10.32604/cmc.2025.061674openalex-snapshot
Leveraging Transformers for Detection of Arabic Cyberbullying on Social Media: Hybrid Arabic Transformers
inferred← citeshttps://doi.org/10.3390/app142411809openalex-snapshot
Experimental Study of the Influence of Even Harmonics on Flame Extinguishing by Low-Frequency Acoustic Waves with the Use of High-Power Extinguisher
inferred← citeshttps://doi.org/10.34086/rteusbe.1365437openalex-snapshot
YouTube Üzerinden Çocukluğun Yok Oluşuna Bir Örnek: “Kısmetse Olur” Programı
inferred← citeshttps://doi.org/10.36948/ijfmr.2024.v06i06.32682openalex-snapshot
Smart Surveillance for Violence Detection
inferred← citeshttps://doi.org/10.4018/979-8-3373-2716-7.ch013openalex-snapshot
Screen Time and Safety
inferred← citeshttps://doi.org/10.48084/etasr.7527openalex-snapshot
Safeguarding Identities with GAN-based Face Anonymization
inferred← citeshttps://doi.org/10.5753/brasnam.2025.8855openalex-snapshot
Caracterização e avaliação do controle de acesso dos servidores do Discord para o público infantil e adolescente
inferred← citeshttps://doi.org/10.5753/brasnam.2026.23440openalex-snapshot
Discurso de Influenciadores Voltados ao Público Infantojuvenil no Instagram: Uma Comparação Brasil e Estados Unidos
inferred← citeshttps://doi.org/10.5753/webmedia.2025.16053openalex-snapshot
Caracterização das Recomendações de Streams na Twitch para o Público Infantil e Adolescente no Brasil e nos Estados Unidos
inferred← citeshttps://doi.org/10.5753/webmedia.2025.16108openalex-snapshot
Call2Go: A Cross-Platform Strategy Of Kids Online Social Media Influencers
inferred← citeshttps://doi.org/10.58793/marusad.1529250openalex-snapshot
YOUTUBE’UN ÇOCUKLARIN DAVRANIŞ DEĞİŞİMLERİNE ETKİSİ ANKETİ: TÜRKÇEYE UYARLAMA, GÜVENİLİRLİK VE GEÇERLİLİK ÇALIŞMASI
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.