{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T13:25:46Z","timestamp":1765286746888,"version":"3.46.0"},"reference-count":64,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T00:00:00Z","timestamp":1765238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>In the realm of children\u2019s education, multimodal large language models (MLLMs) are already being utilized to create educational materials for young learners. But how significant are the differences between image-based fairy tales generated by MLLMs and those crafted by human authors? This paper addresses this question through the design of multi-dimensional human evaluation and actual questionnaire surveys. Specifically, we conducted studies on evaluating MLLM-generated stories and distinguishing them from human-written stories involving 50 undergraduate students in education-related majors, 30 first-grade students, 81 second-grade students, and 103 parents. The findings reveal that most undergraduate students with an educational background, elementary school students, and parents perceive stories generated by MLLMs as being highly similar to those written by humans. Through the evaluation of primary school students and vocabulary analysis, it is further shown that, unlike human-authored stories, which tend to exceed the vocabulary level of young students, MLLM-generated stories are able to control vocabulary complexity and are also very interesting for young readers. Based on the results of the above experiments, we further discuss the following question: Can MLLMs assist or even replace humans in writing Chinese children\u2019s fairy tales based on pictures for young children? We approached this question from both a technical perspective and a user perspective.<\/jats:p>","DOI":"10.3390\/informatics12040139","type":"journal-article","created":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T12:42:43Z","timestamp":1765284163000},"page":"139","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal Large Language Models vs. Human Authors: A Comparative Study of Chinese Fairy Tales for Young Children"],"prefix":"10.3390","volume":"12","author":[{"given":"Jing","family":"Du","sequence":"first","affiliation":[{"name":"Department of Media & Communication, Kangwon National University, Chuncheon 24341, Republic of Korea"}]},{"given":"Wenhao","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China"}]},{"given":"Dibin","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China"},{"name":"Center for Engineering and Scientific Computation, Zhejiang University, Hangzhou 310058, China"}]},{"given":"Seongku","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Media & Communication, Kangwon National University, Chuncheon 24341, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3187-2886","authenticated-orcid":false,"given":"Fuchang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zipes, J. (2006). Fairy Tales and the Art of Subversion, Routledge. [2nd ed.].","DOI":"10.4324\/9780203959824"},{"key":"ref_2","unstructured":"Poole, C. (2025, October 18). The Importance of Fairy Tales for Children. Available online: https:\/\/thinkingwest.com\/2022\/04\/25\/importance-of-fairy-tales\/."},{"key":"ref_3","first-page":"151","article-title":"Problems and Reflections on Children\u2019s Literature Creation in the New Century","volume":"2","author":"Wang","year":"2024","journal-title":"Chin. Lit. Crit."},{"key":"ref_4","unstructured":"Tan, X. (2016). A Brief Discussion on Children\u2019s Literature, People\u2019s Posts and Telecommunications Press. [1st ed.]."},{"key":"ref_5","first-page":"77","article-title":"The Positive Impacts of Fairy Tales for Children","volume":"14","year":"2016","journal-title":"Hohonu"},{"key":"ref_6","unstructured":"Winick, S. (2025, October 18). Einstein\u2019s Folklore|FolkLife Today. The Library of Congress, Available online: https:\/\/blogs.loc.gov\/folklife\/2013\/12\/einsteins-folklore\/."},{"key":"ref_7","unstructured":"OpenAI, Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F.L., Almeida, D., Altenschmidt, J., and Altman, S. (2024). GPT-4 Technical Report. arXiv."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Qin, C., Zhang, A., Zhang, Z., Chen, J., Yasunaga, M., and Yang, D. (2023, January 6\u201310). Is ChatGPT a General-Purpose Natural Language Processing Task Solver?. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore.","DOI":"10.18653\/v1\/2023.emnlp-main.85"},{"key":"ref_9","unstructured":"Makridis, G., Oikonomou, A., and Koukos, V. (2024). FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3. arXiv."},{"key":"ref_10","unstructured":"Ye, L., Jiang, J., Chang, D., and Liu, P. (2024). Storypark: Leveraging Large Language Models to Enhance Children Story Learning Through Child-AI collaboration Storytelling. arXiv."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Xie, Z., Cohn, T., and Lau, J.H. (2023, January 13\u201315). The Next Chapter: A Study of Large Language Models in Storytelling. Proceedings of the 16th International Natural Language Generation Conference, Online.","DOI":"10.18653\/v1\/2023.inlg-main.23"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Huang, H., Tang, C., Loakman, T., Guerin, F., and Lin, C. (2022, January 20\u201323). Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Taipei, Taiwan.","DOI":"10.18653\/v1\/2022.aacl-short.23"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3713","DOI":"10.1007\/s11042-022-13428-4","article-title":"Natural language processing: State of the art, current trends and challenges","volume":"82","author":"Khurana","year":"2023","journal-title":"Multimed. Tools Appl."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Xu, F., Hao, Q., Zong, Z., Wang, J., Zhang, Y., Wang, J., Lan, X., Gong, J., Ouyang, T., and Meng, F. (2025). Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. arXiv.","DOI":"10.1016\/j.patter.2025.101370"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Liang, X., Wang, H., Wang, Y., Song, S., Yang, J., Niu, S., Hu, J., Liu, D., Yao, S., and Xiong, F. (2024). Controllable Text Generation for Large Language Models: A Survey. arXiv.","DOI":"10.18653\/v1\/2024.findings-acl.345"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Sun, J., Tian, Y., Zhou, W., Xu, N., Hu, Q., Gupta, R., Wieting, J., Peng, N., and Ma, X. (2023, January 6\u201310). Evaluating Large Language Models on Controlled Generation Tasks. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore.","DOI":"10.18653\/v1\/2023.emnlp-main.190"},{"key":"ref_17","unstructured":"Linzen, T., Chrupa\u0142a, G., and Alishahi, A. (2018, January 1). GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Brussels, Belgium."},{"key":"ref_18","unstructured":"Wang, A., Pruksachatkun, Y., Nangia, N., Singh, A., Michael, J., Hill, F., Levy, O., and Bowman, S.R. (2023, January 10\u201316). SuperGLUE: A stickier benchmark for general-purpose language understanding systems. Proceedings of the 33rd International Conference on Neural Information Processing Systems, New Orleans, LA, USA."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3641289","article-title":"A Survey on Evaluation of Large Language Models","volume":"15","author":"Chang","year":"2024","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"ref_20","unstructured":"Zhang, T., Kishore, V., Wu, F., Weinberger, K.Q., and Artzi, Y. (2020, January 26\u201330). BERTScore: Evaluating Text Generation with BERT. Proceedings of the 8th International Conference on Learning Representations, Addis Ababa, Ethiopia."},{"key":"ref_21","unstructured":"Palmer, M., Hwa, R., and Riedel, S. (2017, January 9\u201311). Why We Need New Evaluation Metrics for NLG. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Alabdulkarim, A., Li, S., and Peng, X. (2021, January 11). Automatic Story Generation: Challenges and Attempts. Proceedings of the Third Workshop on Narrative Understanding, Online.","DOI":"10.18653\/v1\/2021.nuse-1.8"},{"key":"ref_23","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., and Polosukhin, I. (2017, January 4\u20139). Attention is all you need. Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS\u201917, Long Beach, CA, USA."},{"key":"ref_24","unstructured":"Radford, A., Narasimhan, K., Salimans, T., and Sutskever, I. (2025, October 18). Improving Language Understanding by Generative Pre-Training. Available online: https:\/\/s3-us-west-2.amazonaws.com\/openai-assets\/research-covers\/language-unsupervised\/language_understanding_paper.pdf."},{"key":"ref_25","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., and Sutskever, I. (2025, October 18). Language Models Are Unsupervised Multitask Learners. Available online: https:\/\/d4mucfpksywv.cloudfront.net\/better-language-models\/language_models_are_unsupervised_multitask_learners.pdf."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., and Zettlemoyer, L. (2020, January 5\u201310). BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Online.","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref_27","first-page":"1877","article-title":"Language models are few-shot learners","volume":"Volume 33","author":"Brown","year":"2020","journal-title":"Proceedings of the Advances in Neural Information Processing Systems"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Chen, H., Shu, R., Takamura, H., and Nakayama, H. (2021, January 20\u201324). GraphPlan: Story Generation by Planning with Event Graph. Proceedings of the 14th International Conference on Natural Language Generation, Aberdeen, UK.","DOI":"10.18653\/v1\/2021.inlg-1.42"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Yao, L., Peng, N., Weischedel, R., Knight, K., Zhao, D., and Yan, R. (2019, January January\u20131). Plan-and-write: Towards better automatic storytelling. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, USA.","DOI":"10.1609\/aaai.v33i01.33017378"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"606","DOI":"10.2307\/1131404","article-title":"Prediction of school outcomes based on early language production and socioeconomic factors","volume":"65","author":"Walker","year":"1994","journal-title":"Child Dev."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Valentini, M., Weber, J., Salcido, J., Wright, T., Colunga, E., and von der Wense, K. (2023, January 6\u201310). On the Automatic Generation and Simplification of Children\u2019s Stories. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore.","DOI":"10.18653\/v1\/2023.emnlp-main.218"},{"key":"ref_32","unstructured":"Keet, C.M., Lee, H.Y., and Zarrie\u00df, S. (2023, January 11\u201315). Trustworthiness of Children Stories Generated by Large Language Models. Proceedings of the 16th International Natural Language Generation Conference, Prague, Czechia."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Nielsen, J. (1993). Usability Engineering, Academic Press.","DOI":"10.1016\/B978-0-08-052029-2.50007-3"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1080\/01411920500148713","article-title":"Parental Involvement and Educational Achievement","volume":"31","author":"Driessen","year":"2005","journal-title":"Br. Educ. Res. J."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1111\/1467-9817.12451","article-title":"Drawing attention to print or meaning: How parents read with their preschool-aged children on paper and on screens","volume":"47","author":"Nastasiuk","year":"2024","journal-title":"J. Res. Reading"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Lin, C., \u0160abanovi\u0107, S., Dombrowski, L., Miller, A.D., Brady, E., and MacDorman, K.F. (2021). Parental Acceptance of Children\u2019s Storytelling Robots: A Projection of the Uncanny Valley of AI. Front. Robot. AI, 8.","DOI":"10.3389\/frobt.2021.579993"},{"key":"ref_37","first-page":"1","article-title":"Exploring Parent\u2019s Needs for Children-Centered AI to Support Preschoolers\u2019 Interactive Storytelling and Reading Activities","volume":"8","author":"Sun","year":"2024","journal-title":"Proc. ACM-Hum.-Comput. Interact."},{"key":"ref_38","unstructured":"OpenAI (2025, October 18). ChatGPT. Available online: https:\/\/chat.openai.com.chat."},{"key":"ref_39","unstructured":"Hu, J., Yao, Y., Wang, C., Wang, S., Pan, Y., Chen, Q., Yu, T., Wu, H., Zhao, Y., and Zhang, H. (2024, January 7). Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages. Proceedings of the Twelfth International Conference on Learning Representations, Vienna, Austria."},{"key":"ref_40","unstructured":"Cui, Y., Yang, Z., and Yao, X. (2023). Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca. arXiv."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Du, Z., Qian, Y., Liu, X., Ding, M., Qiu, J., Yang, Z., and Tang, J. (2022, January 22\u201327). GLM: General Language Model Pretraining with Autoregressive Blank Infilling. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland.","DOI":"10.18653\/v1\/2022.acl-long.26"},{"key":"ref_42","unstructured":"Bai, J., Bai, S., Yang, S., Wang, S., Tan, S., Wang, P., Lin, J., Zhou, C., and Zhou, J. (2023). Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond. arXiv."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"7218","DOI":"10.12677\/AE.2023.13101122","article-title":"Research on Teaching Strategies for Picture-Based Writing in Primary School Chinese Language Education","volume":"13","author":"Xu","year":"2024","journal-title":"Educ. Adv."},{"key":"ref_44","first-page":"73","article-title":"Developmental Trends of Literacy Skills of Chinese Lower Graders: The Predicting Effects of Reading-related Cognitive Skills","volume":"34","author":"Hui","year":"2018","journal-title":"Psychol. Dev. Educ."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Riskin, J. (2016). The Restless Clock: A History of the Centuries-Long Argument Over What Makes Living Things Tick, University of Chicago Press.","DOI":"10.7208\/chicago\/9780226303086.001.0001"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"12263","DOI":"10.1007\/s00521-021-05893-z","article-title":"Deep learning approaches to pattern extraction and recognition in paintings and drawings: An overview","volume":"33","author":"Castellano","year":"2021","journal-title":"Neural Comput. Appl."},{"key":"ref_47","unstructured":"Hernandez-Olivan, C., Hernandez-Olivan, J., and Beltran, J.R. (2022). A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives. arXiv."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Chakrabarty, T., Padmakumar, V., and He, H. (2022, January 7\u201311). Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates.","DOI":"10.18653\/v1\/2022.emnlp-main.460"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Mirowski, P., Mathewson, K.W., Pittman, J., and Evans, R. (2023, January 23\u201328). Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, New York, NY, USA. CHI \u201923.","DOI":"10.1145\/3544548.3581225"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Wu, W., Wu, H., Jiang, L., Liu, X., Zhao, H., and Zhang, M. (2024, January 11\u201316). From Role-Play to Drama-Interaction: An LLM Solution. Proceedings of the Findings of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand.","DOI":"10.18653\/v1\/2024.findings-acl.196"},{"key":"ref_51","unstructured":"Egg, A. (2025, October 18). An AI Learning Robot for Children, That Follows Along and Reads Whatever You Point at. Available online: https:\/\/www.toycloud.com."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Zhao, Z., and McEwen, R. (2021, January 8\u201311). Luka\u2014Investigating the Interaction of Children and Their Home Reading Companion Robot: A Longitudinal Remote Study. Proceedings of the Companion of the 2021 ACM\/IEEE International Conference on Human-Robot Interaction, New York, NY, USA. HRI \u201921 Companion.","DOI":"10.1145\/3434074.3447146"},{"key":"ref_53","unstructured":"Codi, M. (2025, October 18). An Interactive, AI-Enabled Smart Toy for Kids. Available online: https:\/\/www.pillarlearning.com\/."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Dietz, G., Le, J.K., Tamer, N., Han, J., Gweon, H., Murnane, E.L., and Landay, J.A. (2021, January 8\u201313). StoryCoder: Teaching Computational Thinking Concepts Through Storytelling in a Voice-Guided App for Children. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, New York, NY, USA. CHI \u201921.","DOI":"10.1145\/3411764.3445039"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Xu, Y., Wang, Y., Yao, B., Ritchie, D., Wu, T., Yu, M., Wang, D., and Li, T.J.J. (May, January 29). StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, New York, NY, USA. CHI \u201922.","DOI":"10.1145\/3491102.3517479"},{"key":"ref_56","unstructured":"Yi, R. (2024). Text and Image Studies on AIGC Productivity in the Age of Humanity 3.0, China Social Sciences Press."},{"key":"ref_57","unstructured":"Liu, J., Gu, H., Zheng, T., Xiang, L., Wu, H., Fu, J., and He, Z. (2024). Dynamic Generation of Personalities with Large Language Models. arXiv."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Porter, B., and Machery, E. (2024). AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably. Sci. Rep., 14.","DOI":"10.1038\/s41598-024-76900-1"},{"key":"ref_59","unstructured":"Liu, Z., Li, Y., Cao, Q., Chen, J., Yang, T., Wu, Z., Hale, J., Gibbs, J., Rasheed, K., and Liu, N. (2023). Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. arXiv."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Rahman, A., Mahir, S.H., Tashrif, M.T.A., Aishi, A.A., Karim, M.A., Kundu, D., Debnath, T., Moududi, M.A.A., and Eidmum, M.Z.A. (2025). Comparative Analysis Based on DeepSeek, ChatGPT, and Google Gemini: Features, Techniques, Performance, Future Prospects. arXiv.","DOI":"10.1016\/j.sasc.2025.200396"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"17485","DOI":"10.1007\/s10639-024-12549-7","article-title":"Empowering education development through AIGC: A systematic literature review","volume":"29","author":"Chen","year":"2024","journal-title":"Educ. Inf. Technol.s"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/s40593-023-00340-7","article-title":"GPT-3-Driven Pedagogical Agents to Train Children\u2019s Curious Question-Asking Skills","volume":"34","author":"Abdelghani","year":"2023","journal-title":"Int. J. Artif. Intell. Educ.n"},{"key":"ref_63","unstructured":"Kerne\u017ea, M. (2023). Fundamental and basic cognitive skills required for teachers to effectively use chatbots in education. Science And Technology Education: New Developments And Innovations, Scientia Socialis, UAB."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Holmes, W., and Kay, J. (2023, January 3\u20137). AI in Education. Coming of Age? The Community Voice. Proceedings of the Artificial Intelligence in\nEducation. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral\nConsortium and Blue Sky, Tokyo, Japan.","DOI":"10.1007\/978-3-031-36336-8_13"}],"container-title":["Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2227-9709\/12\/4\/139\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T13:20:45Z","timestamp":1765286445000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2227-9709\/12\/4\/139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,9]]},"references-count":64,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["informatics12040139"],"URL":"https:\/\/doi.org\/10.3390\/informatics12040139","relation":{},"ISSN":["2227-9709"],"issn-type":[{"type":"electronic","value":"2227-9709"}],"subject":[],"published":{"date-parts":[[2025,12,9]]}}}