Eksploitasi Citra Tubuh Perempuan di Media Sosial TikTok dalam Perspektif Islam
DOI:
https://doi.org/10.31958/istinarah.v7i1.15483Keywords:
Women, Social Media, Tiktok, Islamic PerspektiveAbstract
Their roles include being mothers, educators, and leaders, while their obligations involve worshiping, maintaining their dignity, and supporting their families. In addition, women also have rights to pursue higher education, to work, to own property, and to participate in politics. In today's era, women are increasingly active in contributing to the family's economic needs. This began as women gained access to the internet and the freedom to use social media, introduced by various application developers. The presence of social media on smartphones has played a significant role in providing knowledge and information, thus opening up opportunities for people from various backgrounds to participate actively. TikTok, currently the third most-used social media platform, offers a unique dynamic. While TikTok collaborates with various organizations and institutions with the goal of raising awareness and empowering Indonesian women and small business actors (MSMEs), unfortunately, many women still use TikTok as a means of earning money by exposing their bodies to gain special gifts from viewers. One example is accounts that "sell crowns" to receive a ÔÇ£WhaleÔÇØ gift. In this study, the author seeks to identify the types of female exploitation on social media and to describe them from an Islamic perspective, using observational techniques on TikTok content.
References
Adunlin, G., & Pan, K. (2022). Pharmacy Students’ Attitudes and Perceptions toward Financial Management Education. Healthcare (Switzerland), 10(4). https://doi.org/10.3390/healthcare10040683
Ali, L., Khan, M. K. N., & Ahmad, H. (2020). Education of the Head and Financial Vulnerability of Households: Evidence from a Household’s Survey Data in Pakistan. Social Indicators Research, 147(2). https://doi.org/10.1007/s11205-019-02164-2
Bakar, M. Z. A., & Bakar, S. A. (2020). Prudent financial management practices among Malaysian youth: The moderating roles of financial education. Journal of Asian Finance, Economics and Business, 7(6). https://doi.org/10.13106/JAFEB.2020.VOL7.NO6.525
Cai, H., & Gao, Y. (2020). Practical Teaching System Construction of Financial Management Major Based on Innovation and Entrepreneurship Education. Lecture Notes in Electrical Engineering, 551 LNEE. https://doi.org/10.1007/978-981-15-3250-4_152
Chen, L., Zhang, Y., & Zeng, M. (2023). RETRACTED: Precise clustering analysis of Internet financial credit reporting dependent on multidimensional attribute sparse large data (International Journal of Electrical Engineering & Education, (2021)). In International Journal of Electrical Engineering and Education (Vol. 60, Issue 1_suppl). https://doi.org/10.1177/00207209211002086
Chen, M. (2023). Enterprise financial management and trend prediction based on time series analytics and edge computing. Internet Technology Letters, 6(5). https://doi.org/10.1002/itl2.339
Chu, H. (2021). An Empirical Analysis of Corporate Financial Management Risk Prediction Based on Associative Memory Neural Network. Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/4383742
Cordero, J. M., Gil-Izquierdo, M., & Pedraja-Chaparro, F. (2022). Financial education and student financial literacy: A cross-country analysis using PISA 2012 data. Social Science Journal, 59(1). https://doi.org/10.1016/j.soscij.2019.07.011
Du, P., & Shu, H. (2022). Exploration of Financial Market Credit Scoring and Risk Management and Prediction Using Deep Learning and Bionic Algorithm. Journal of Global Information Management, 30(9). https://doi.org/10.4018/JGIM.293286
Faccia, A., & Pandey, V. (2021). Business Planning and Big Data, Budget Modelling Upgrade Through Data Science. ACM International Conference Proceeding Series. https://doi.org/10.1145/3503928.3503933
Fani, A., Golroo, A., Ali Mirhassani, S., & Gandomi, A. H. (2022). Pavement maintenance and rehabilitation planning optimisation under budget and pavement deterioration uncertainty. International Journal of Pavement Engineering, 23(2). https://doi.org/10.1080/10298436.2020.1748628
Fani, A., Golroo, A., Naseri, H., Mirhassani, S. A., & Gandomi, A. H. (2024). Risk-based pavement maintenance planning considering budget and pavement deterioration uncertainty. Structure and Infrastructure Engineering, 20(10). https://doi.org/10.1080/15732479.2022.2145317
Farahani, A., Wallbaum, H., & Dalenbäck, J.-O. (2020). Cost-Optimal Maintenance and Renovation Planning in Multifamily Buildings with Annual Budget Constraints. Journal of Construction Engineering and Management, 146(3). https://doi.org/10.1061/(asce)co.1943-7862.0001778
Ghafoori, E., Ip, E., & Kabátek, J. (2021). The impacts of a large-scale financial education intervention on retirement saving behaviors and portfolio allocation: Evidence from pension fund data. Journal of Banking and Finance, 130. https://doi.org/10.1016/j.jbankfin.2021.106195
Gu, L. (2023). Optimized backpropagation neural network for risk prediction in corporate financial management. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-46528-8
Haji-Seseang, R., Habbe, A. H., Rasyid, S., & Nirwana, N. (2023). THE EFFECT ANALYSIS OF EARNING MANAGEMENT AND FAMILY CONTROL ON THE Z-SCORE MODEL OF FINANCIAL DISTRESS PREDICTION. Business: Theory and Practice, 24(2). https://doi.org/10.3846/btp.2023.18123
Haristiani, N., Septiana, A., Nor, N. F. M., & Ryota, N. (2023). The politeness of criticism speech acts in Japanese and Minangkabau films. Indonesian Journal of Applied Linguistics, 13(1). https://doi.org/10.17509/ijal.v13i1.58272
Huang, X. (2022). Risk Prediction of Enterprise Financial Management Based on Optimized BP Neural Network Algorithm. Lecture Notes on Data Engineering and Communications Technologies, 125. https://doi.org/10.1007/978-3-030-97874-7_152
Jung, Y. M. (2019). Data analysis in quantitative research. In Handbook of Research Methods in Health Social Sciences. https://doi.org/10.1007/978-981-10-5251-4_109
Kuyoro, A. O., Ogunyolu, O. A., Ayanwola, T. G., & Ayankoya, F. Y. (2022). Dynamic Effectiveness of Random Forest Algorithm in Financial Credit Risk Management for Improving Output Accuracy and Loan Classification Prediction. Ingenierie Des Systemes d’Information, 27(5). https://doi.org/10.18280/isi.270515
Litterscheidt, R., & Streich, D. J. (2020). Financial education and digital asset management: What’s in the black box? Journal of Behavioral and Experimental Economics , 87. https://doi.org/10.1016/j.socec.2020.101573
Machuca-Vílchez, J. A., Ramos-Cavero, M. J., & Cordova-Buiza, F. (2023). Knowledge management in financial education in Peruvian government programs focused on women: Progress and challenges. Knowledge and Performance Management, 7(1). https://doi.org/10.21511/kpm.07(1).2023.01
Maman, D., & Rosenhek, Z. (2019). Responsibility, planning and risk management: moralizing everyday finance through financial education. British Journal of Sociology, 70(5). https://doi.org/10.1111/1468-4446.12698
Mangiero, G. A., Qayyum, A., & Cante, C. J. (2020). An excel-based method to enhance the study of “Duration and Convexity” in financial management education. Journal of Education for Business, 95(6). https://doi.org/10.1080/08832323.2019.1660298
Mohzana, M., Al-Pansori, M. J., & Rismawati, L. (2025). The Strategic Role of the Indonesian Language in Leadership and Corporate Management. IJE : Interdisciplinary Journal of Education, 3(1), 37–47. https://doi.org/10.61277/ije.v3i1.191
Moradi, S., Mohammadi, S. D., Bazzazi, A. A., Aalianvari, A., & Osmanpour, A. (2022). Financial Risk Management Prediction of Mining and Industrial Projects using Combination of Artificial Intelligence and Simulation Methods. Journal of Mining and Environment, 13(4). https://doi.org/10.22044/jme.2022.12425.2255
Paul, P. K., & Jena, S. K. (2023). Education Technology and E-Learning Sector in enhancing Knowledge Management Systems: The Growth, Financial and Economical Concern in Indian Context. In Economic Affairs (New Delhi) (Vol. 68, Issue 3). https://doi.org/10.46852/0424-2513.3.2023.38
Salas-Velasco, M., Moreno-Herrero, D., & Sánchez-Campillo, J. (2021). Teaching financial education in schools and students’ financial literacy: A cross-country analysis with PISA data. International Journal of Finance and Economics, 26(3). https://doi.org/10.1002/ijfe.2005
Satityapong, N., Na-Soontorn, T., & Amornkitpinyo, P. (2022). INNOVATIVE FINANCIAL MANAGEMENT MODEL FOR PRIVATE HIGHER EDUCATION INSTITUTIONS ACCORDING TO THE LONG-TERM 20-YEAR HIGHER EDUCATION PLAN. Corporate Governance and Organizational Behavior Review, 6(2 Special Issue). https://doi.org/10.22495/CGOBRV6I2SIP12
Siemionek, A., & Chalastra, M. (2019). History of Budget Development According to the People Responsible for Budget Planning in Poland. Springer Proceedings in Business and Economics. https://doi.org/10.1007/978-3-030-11851-8_32
Smith, J., & Firth, J. (2011). Qualitative data analysis: the framework approach. Nurse Researcher, 18(2). https://doi.org/10.7748/nr2011.01.18.2.52.c8284
Sukardi. (2019). Metodologi Penelitian Pendidikan, Kompetensi dan Praktiknya. Bumi Aksara.
Sun, X. (2022). Financial Management System for Undergraduate Innovation and Entrepreneurship Education Based on Grid Algorithm. Lecture Notes in Electrical Engineering, 791. https://doi.org/10.1007/978-981-16-4258-6_188
Torriente, I., Lastre, A., Carrera, C., Quishpe, K., & Morales, P. (2020). Evaluation and Prediction of the Financial and Management Indicators in SME’S with the Use of Artificial Neural Net. Advances in Intelligent Systems and Computing, 961. https://doi.org/10.1007/978-3-030-20154-8_56
Tran, C. D. T. T., & Villano, R. A. (2021). FINANCIAL EFFICIENCY of TERTIARY EDUCATION INSTITUTIONS: A SECOND-STAGE DYNAMIC NETWORK DATA ENVELOPMENT ANALYSIS METHOD. Singapore Economic Review, 66(5). https://doi.org/10.1142/S0217590818500133
Tutica, L., Vineel, K. S. K., & Mallick, P. K. (2022). LGBM-Based Payment Date Prediction for Effective Financial Statement Management. Lecture Notes in Networks and Systems, 375. https://doi.org/10.1007/978-981-16-8763-1_36
Uthayakumar, J., Metawa, N., Shankar, K., & Lakshmanaprabu, S. K. (2023). Retraction Note: Intelligent hybrid model for financial crisis prediction using machine learning techniques. Information Systems and E-Business Management, 21(S1). https://doi.org/10.1007/s10257-022-00586-z
Van Schalkwyk, R. D., & Kruger, L. P. (2019). The potential financial impact and influence of black economic empowerment (BEE) on private higher education institutions in South Africa: management alert. Problems and Perspectives in Management, 17(3). https://doi.org/10.21511/ppm.17(3).2019.04
Yao, X., Wei, Q., & Zhang, Q. (2020). Innovation of Undergraduate Education Mode of the Financial Management Major in Big Data Era. ACM International Conference Proceeding Series. https://doi.org/10.1145/3404649.3404656
Yaroshchuk, A. B., Guliev, A. Y., & Mikhaylenko, M. N. (2022). Quality management of higher education within the framework of the socio-investment model of economic growth: State audit and financial control. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.1057005
Yousefpour, A., & Farahani, H. M. (2022). Prediction and Classification of Financial Criteria of Management Control System in Manufactories Using Deep Interaction Neural Network (DINN) and Machine Learning. Complexity, 2022. https://doi.org/10.1155/2022/2295105
Zhao, T. (2023). Research on Intelligent Analysis and Processing Technology of Financial Big Data Education Based on DM Algorithm. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 467 LNICST. https://doi.org/10.1007/978-3-031-23944-1_10
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