Improving Media Literacy Among Higher Education Students Through Vitagenic Information
DOI:
https://doi.org/10.48161/qaj.v4n4a1230Abstract
This research investigates the influence of vitagenic information on enhancing media literacy among students in higher education. The primary focus is on how students can leverage their personal experiences and vitagenic learning to critically assess and interact with a wide array of media content in the current digital landscape. Background. As digital media and information become increasingly prevalent, students in higher education regularly encounter a significant volume of content that necessitates advanced critical evaluation skills. Vitagenic information, which refers to life experiences and practical knowledge, is essential in developing students' media literacy. By incorporating vitagenic learning, students gain the ability to discern credible information from misinformation, thereby improving their media engagement. Research Methods. The study employs a mixed-methods methodology, integrating both qualitative and quantitative data. Surveys were conducted with 200 university students to evaluate their existing media literacy levels and to determine how vitagenic experiences affect their critical thinking abilities. Additionally, focus groups were organized to collect detailed insights into how students utilize their vitagenic knowledge when consuming media. Results. Initial findings reveal a noteworthy relationship between students' personal experiences and their capacity for media analysis. Students with a robust background in vitagenic learning tend to achieve higher media literacy scores, especially in identifying biased or misleading content. Conclusion. The study's results indicate that incorporating vitagenic information into the curricula of higher education institutions could significantly bolster students' media literacy competencies. This method allows students to draw on their practical knowledge and life experiences, leading to more informed and critical interactions with digital media.
Downloads
References
Whittaker, L., Kietzmann, T. C., Kietzmann, J., & Dabirian, A. (2020). “All around me are synthetic faces”: the mad world of AI-generated media. IT Professional, 22(5), 90-99.
Jafar, M. T., Ababneh, M., Al-Zoube, M., & Elhassan, A. (2020). Forensics and analysis of deepfake videos. In 2020 11th international conference on information and communication systems (ICICS) (pp. 053-058). IEEE.
Murphy, G., & Flynn, E. (2022). Deepfake false memories. In Memory Online (pp. 112-124). Routledge.
Eliseev, E. D., & Marsh, E. J. (2021). Externalizing autobiographical memories in the digital age. Trends in Cognitive Sciences, 25(12), 1072-1081.
Masood, M., Nawaz, M., Javed, A., Nazir, T., Mehmood, A., & Mahum, R. (2021). Classification of Deepfake videos using pre-trained convolutional neural networks. In 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) (pp. 1-6). IEEE.
Meskys, E., Kalpokiene, J., Jurcys, P., & Liaudanskas, A. (2020). Regulating deep fakes: legal and ethical considerations. Journal of Intellectual Property Law & Practice, 15(1), 24-31.
Breen, D. C. (2021). Silent no more: How deepfakes will force courts to reconsider video admission standards. J. High Tech. L., 21, 122.
Lee, H. P., Yang, Y. J., Von Davier, T. S., Forlizzi, J., & Das, S. (2024). Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-19).
Fallis, D. (2021). The epistemic threat of deepfakes. Philosophy & Technology, 34(4), 623-643.
Swathi, P., & Sk, S. (2021). Deepfake creation and detection: A survey. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 584-588). IEEE.
Kirchengast, T. (2020). Deepfakes and image manipulation: criminalisation and control. Information & Communications Technology Law, 29(3), 308-323.
Ghai, A., Kumar, P., & Gupta, S. (2024). A deep-learning-based image forgery detection framework for controlling the spread of misinformation. Information Technology & People, 37(2), 966-997.
Singh, B., & Sharma, D. K. (2022). Predicting image credibility in fake news over social media using multi-modal approach. Neural Computing and Applications, 34(24), 21503-21517.
Yang, J., Xiao, S., Li, A., Lan, G., & Wang, H. (2021). Detecting fake images by identifying potential texture difference. Future Generation Computer Systems, 125, 127-135.
Tyagi, S., & Yadav, D. (2023). A detailed analysis of image and video forgery detection techniques. The Visual Computer, 39(3), 813-833.
Langguth, J., Pogorelov, K., Brenner, S., Filkuková, P., & Schroeder, D. T. (2021). Don't trust your eyes: image manipulation in the age of DeepFakes. Frontiers in Communication, 6, 632317.
Liv, N., & Greenbaum, D. (2020). Deep fakes and memory malleability: False memories in the service of fake news. AJOB neuroscience, 11(2), 96-104.
Sundar, S. S., Molina, M. D., & Cho, E. (2021). Seeing is believing: Is video modality more powerful in spreading fake news via online messaging apps? Journal of Computer-Mediated Communication, 26(6), 301-319.
Murphy, G., Ching, D., Twomey, J., & Linehan, C. (2023). Face/Off: Changing the face of movies with deepfakes. Plos one, 18(7), e0287503.
Kumar, D., Pandey, R. C., & Mishra, A. K. (2024). A review of image features extraction techniques and their applications in image forensic. Multimedia Tools and Applications, 1-102.
Pradana, H., Dao, M. S., & Zettsu, K. (2022). Augmenting ego-vehicle for traffic near-miss and accident classification dataset using manipulating conditional style translation. In 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-8). IEEE.
Boté-Vericad, J. J., & Vállez, M. (2022). Image and video manipulation: The generation of deepfakes. Capítol 8 del llibre: Freixa, Pere; Codina, Lluís; Pérez-Montoro, Mario; Guallar, Javier (Ed.)(2022). Visualisations and narratives in digital media. Methods and current trends. Barcelona: DigiDoc Research Group & Ediciones Profesionales de la Información SL,.(pp. 116-127).
Bermano, A. H., Gal, R., Alaluf, Y., Mokady, R., Nitzan, Y., Tov, O., ... & Cohen‐Or, D. (2022). State‐of‐the‐Art in the Architecture, Methods and Applications of StyleGAN. In Computer Graphics Forum (Vol. 41, No. 2, pp. 591-611).
Ugurhan, Y. Z. C., Kumtepe, E. G., Kumtepe, A. T., & Saykılı, A. (2020). From media literacy to new media literacy: A lens into open and distance learning context. Turkish Online Journal of Distance Education, 21(Special Issue-IODL), 135-151.
Jones-Jang, S. M., Mortensen, T., & Liu, J. (2021). Does media literacy help identification of fake news? Information literacy helps, but other literacies don’t. American behavioral scientist, 65(2), 371-388.
Dame Adjin-Tettey, T. (2022). Combating fake news, disinformation, and misinformation: Experimental evidence for media literacy education. Cogent arts & humanities, 9(1), 2037229.
Churchill, N. (2020). Development of students’ digital literacy skills through digital storytelling with mobile devices. Educational Media International, 57(3), 271-284.
Tugtekin, E. B., & Koc, M. (2020). Understanding the relationship between new media literacy, communication skills, and democratic tendency: Model development and testing. New media & society, 22(10), 1922-1941.
Khan, N., Sarwar, A., Chen, T. B., & Khan, S. (2022). Connecting digital literacy in higher education to the 21st century workforce. Knowledge Management & E-Learning, 14(1), 46-61.
Milenkova, V., & Lendzhova, V. (2021). Digital citizenship and digital literacy in the conditions of social crisis. Computers, 10(4), 40.
Nikou, S., De Reuver, M., & Mahboob Kanafi, M. (2022). Workplace literacy skills—how information and digital literacy affect adoption of digital technology. Journal of Documentation, 78(7), 371-391.
Celik, I., Muukkonen, H., & Dogan, S. (2021). A model for understanding new media literacy: Epistemological beliefs and social media use. Library & Information Science Research, 43(4), 101125.
Reem, M. (2022). The impact of media and information literacy on students’ acquisition of the skills needed to detect fake news.
Puig, B., Blanco-Anaya, P., & Pérez-Maceira, J. J. (2021). “Fake news” or real science? Critical thinking to assess information on COVID-19. In Frontiers in Education (Vol. 6, p. 646909). Frontiers Media SA.
Scheibenzuber, C., Hofer, S., & Nistor, N. (2021). Designing for fake news literacy training: A problem-based undergraduate online-course. Computers in Human Behavior, 121, 106796.
Baptista, J. P., & Gradim, A. (2020). Understanding fake news consumption: A review. Social Sciences, 9(10), 185.
Beauvais, C. (2022). Fake news: Why do we believe it?. Joint bone spine, 89(4), 105371.
Papapicco, C., Lamanna, I., & D’Errico, F. (2022). Adolescents’ vulnerability to fake news and to racial hoaxes: A qualitative analysis on Italian sample. Multimodal Technologies and Interaction, 6(3), 20.
Arrese, A. (2024). Cultural Dimensions of Fake News Exposure: A Cross-National Analysis among European Union Countries. Mass Communication and Society, 27(5), 827-850.
Wuyckens, G., Landry, N., & Fastrez, P. (2022). Untangling media literacy, information literacy, and digital literacy: A systematic meta-review of core concepts in media education. Journal of Media Literacy Education, 14(1), 168-182.
De Paor, S., & Heravi, B. (2020). Information literacy and fake news: How the field of librarianship can help combat the epidemic of fake news. The Journal of Academic Librarianship, 46(5), 102218.
Deja, M., Rak, D., & Bell, B. (2021). Digital transformation readiness: perspectives on academia and library outcomes in information literacy. The Journal of Academic Librarianship, 47(5), 102403.
Sample, A. (2020). Historical development of definitions of information literacy: A literature review of selected resources. The journal of academic librarianship, 46(2), 102116.
Patrão, C., Soeiro, D., & Parreiral, S. (2021). Media, literacy and education: Partners for sustainable development. The Palgrave handbook of international communication and sustainable development, 215-233.
Palsa, L., & Salomaa, S. (2020). Media literacy as a cross-sectoral phenomenon: Media education in Finnish ministerial-level policies. Central European Journal of Communication, 13(2), 162-182.
Neag, A., Bozdağ, Ç., & Leurs, K. (2022). Media literacy education for diverse societies. In Oxford Research Encyclopedia of Communication.
Hook, S. J. (2023). The Political Economy of Information Literacy: A Corpus-Assisted Critical Discourse Analysis of UNESCO’s Media and Information Literacy: Policy & Strategy Guidelines (Doctoral dissertation, University of Toronto (Canada)).
Bonami, B., & Le Voci Sayad, A. (2021). Translations of the media and information literacy concept: Tracing policy terms in the Latin American countries. In MIL Cities and MIL Citizens: Informed, Engaged, Empowered by Media and Information Literacy (MIL).. Corporación Universitaria Minuto de Dios-UNIMINUTO.
Ramaiah, C. K., & Rao, M. S. (2021). Media and Information Literacy: A Bibliography. DESIDOC Journal of Library & Information Technology, 41(4).
Literat, I., Chang, Y. K., & Hsu, S. Y. (2020). Gamifying fake news: Engaging youth in the participatory design of news literacy games. Convergence, 26(3), 503-516.
Tamboer, S. L., Vlaanderen, A., Bevelander, K. E., & Kleemans, M. (2024). Do You Know What Fake News Is? An Exploration of and Intervention to Increase Youth’s Fake News Literacy. Youth & Society, 56(4), 774-792.
Moore, R. C., & Hancock, J. T. (2022). A digital media literacy intervention for older adults improves resilience to fake news. Scientific reports, 12(1), 6008.
Fiordelli, M., Diviani, N., Farina, R., Pellicini, P., Ghirimoldi, A., & Rubinelli, S. (2023). Strengthening adolescents’ critical health literacy and scientific literacy to tackle mis-and dis-information. A feasibility study in Switzerland. Frontiers in Public Health, 11, 1183838.
Zhang, L., Iyendo, T. O., Apuke, O. D., & Gever, C. V. (2022). Experimenting the effect of using visual multimedia intervention to inculcate social media literacy skills to tackle fake news. Journal of Information Science, 01655515221131797.
Apuke, O. D., Omar, B., & Tunca, E. A. (2023). Effect of fake news awareness as an intervention strategy for motivating news verification behaviour among social media users in Nigeria: a quasi-experimental research. Journal of Asian and African Studies, 58(6), 888-903.
ACOMI, N., ACOMI, O., ANDREI, E. R., DADOMO, F., HOCQ, D., Luis, O. S., ... & VELASCO GARCIA, A. Empowering Youth to Critically Analyse Fake News Strategies of Intervention and Good Practices.
Zhao, H., Xu, J., Iyendo, T. O., Apuke, O. D., Tunca, E. A., & Gever, V. C. (2023). The effectiveness of using audio-visual based media intervention for promoting social media literacy skills to curtail fake news on social media: A quasi-experimental investigation. Information Development, 02666669231217236.
Ho, S. S., Looi, J., & Goh, T. J. (2020). Scientists as public communicators: Individual-and institutional-level motivations and barriers for public communication in Singapore. Asian Journal of Communication, 30(2), 155-178.
Micallef, N., Avram, M., Menczer, F., & Patil, S. (2021). Fakey: A game intervention to improve news literacy on social media. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1-27.
Rustamova, N. R. (2020). Training of students of cognitive processes based on vitagen educational situations. International Journal of Advanced Science and Technology, 29(8), 869-872.
Geeng, C., Yee, S., & Roesner, F. (2020). Fake news on Facebook and Twitter: Investigating how people (don't) investigate. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-14).
Billingsley, B., & Heyes, J. M. (2023). Preparing students to engage with science‐and technology‐related misinformation: The role of epistemic insight. The Curriculum Journal, 34(2), 335-351.
Rustamova, N. (2023). The interaction of vitagenic experience, computer and a human in a smart system. In AIP Conference Proceedings (Vol. 2789, No. 1). AIP Publishing.
Akramova, L., & Rustamova, N. (2023). Computer-human interaction: Visualization of the educational process as a means of increasing the efficiency of the education. In AIP Conference Proceedings (Vol. 2789, No. 1). AIP Publishing.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Qubahan Academic Journal

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.



