The Psychological Impact of Social Media Algorithms: A Computational Psychometric Analysis
Abstract
Social media algorithms are designed to maximize user engagement, often influencing mental health, behavior, and decision-making patterns. This paper examines the psychological effects of personalized content recommendation systems, using computational psychometric analysis to assess their impact on users’ emotions, social interactions, and cognitive biases. We analyze data from multiple platforms, discussing the role of reinforcement learning in shaping online experiences. The paper also explores potential regulatory measures and ethical considerations to mitigate the negative psychological consequences of algorithm-driven content consumption.
References
S. V. N. Sreenivasu, S. K. Katta, J. P. L. Auguskani, D. V. Priya, V. Jagadish and V. Raghunath, "Integrating AI-Driven IoT Solutions for Enhanced Predictive Analytics in Healthcare a Comprehensive Study on Chronic Disease Management," 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), Guntur, India, 2024, pp. 1-6, doi: 10.1109/ICEC59683.2024.10837020.
R. R. Yasani, P. M. Prasad, P. Srinivas, N. V. R. S. Reddy, P. Jawarkar and V. Raghunath, "AI-Driven Solutions for Cloud Security Implementing Intelligent Threat Detection and Mitigation Strategies," 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), Guntur, India, 2024, pp. 1-6, doi: 10.1109/ICEC59683.2024.10837032.
V. Raghunath, "Security Issues Analysis Based on Big Data in Cloud Computing," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2549-2557, 2024.
V. Raghunath, "Analysis on Addressing the Threats to Cloud Computing on the Basis of Security Safeguards for SAP Cloud Services," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2539-2548, 2024.
V. Raghunath, "SAP S/4HANA Applications on Data Security and Protections for SAP Cloud Services," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2530-2538, 2024.
V. Raghunath, "Investigation on Cloud Security Frameworks, Problems and Proposed Solutions," European Journal of Advances in Engineering and Technology, vol. 11, no. 9, pp. 103-110, 2024
V. Raghunath, "SAP Cloud Services on Decoding Cybersecurity and Data Privacy Controls," European Journal of Advances in Engineering and Technology, vol. 11, no. 9, pp. 95-102, 2024.
V. Raghunath, "A Comprehensive Review on Security and Privacy Properties in Cloud-Based Business and Scientific Workflows," European Journal of Advances in Engineering and Technology, vol. 11, no. 9, pp. 87-94, 2024.
V. Raghunath, "Analysis on the Planning Feature of SAP Analytics Cloud with Artificial Intelligence and Machine Learning Algorithms," International Journal of Artificial Intelligence & Machine Learning (IJAIML), 2024.
V. Raghunath, "User Support Solution Implementation for SAP ERP Utilizing Artificial Intelligence to Drive Automated," International Journal of Artificial Intelligence Research and Development, 2024.
V. Raghunath, "Predictive Analytics on SAP Database (HANA) by Using Artificial Intelligence (AI) and Automated Machine Learning Capabilities," International Journal of Computer Engineering and Technology (IJCET), vol. 15, no. 3, 2024.
V. Raghunath, "Investigating the Adaptive Supply Chain Module for the Integration of Google Cloud and SAP HANA Technologies," International Journal of System Design and Information Processing (IJSDIP), 2024
Davuluri, M. (2024). AI in Healthcare Fraud Detection: Ensuring Integrity in Medical Billing. International Machine learning journal and Computer Engineering, 7(7).
Davuluri, M. (2024). AI in Geriatric Care: Supporting an Aging Population. International Numeric Journal of Machine Learning and Robots, 8(8).
Davuluri, M. (2023). AI for Healthcare Workflow Optimization: Reducing Burnout and Enhancing Efficiency. International Numeric Journal of Machine Learning and Robots, 7(7).
Davuluri, M. (2023). AI in Surgical Assistance: Enhancing Precision and Outcomes. International Machine learning journal and Computer Engineering, 6(6).
Davuluri, M. (2022). AI in Mental Health: Transforming Diagnosis and Therapy. International Machine learning journal and Computer Engineering, 5(5).
Davuluri, M. (2021). AI for Chronic Disease Management: Improving Long-Term Patient Outcomes. International Journal of Machine Learning and Artificial Intelligence, 2(2).
Davuluri, M. (2021). AI in Personalized Oncology: Revolutionizing Cancer Care. International Machine learning journal and Computer Engineering, 4(4).
Davuluri, M. (2020). AI-Driven Drug Discovery: Accelerating the Path to New Treatments. International Journal of Machine Learning and Artificial Intelligence, 1(1).
Davuluri, M. (2020). AI in Pediatric Healthcare: Transforming Care for Younger Patients. International Numeric Journal of Machine Learning and Robots, 4(4).
Davuluri, M. (2018). AI in Preventive Healthcare: From Risk Assessment to Lifestyle Interventions. International Numeric Journal of Machine Learning and Robots, 2(2).
Davuluri, M. (2017). AI-Enhanced Telemedicine: Bridging the Gap in Global Healthcare Access. International Numeric Journal of Machine Learning and Robots, 1(1).
Davuluri, M. (2024). An Overview of Natural Language Processing in Analyzing Clinical Text Data for Patient Health Insights. Research-gate journal, 10(10).
Davuluri, M., & Yarlagadda, V. S. T. (2024). NOVEL DEVICE FOR ENHANCING TUBERCULOSIS DIAGNOSIS FOR FASTER, MORE ACCURATE SCREENING RESULTS. International Journal of Innovations in Engineering Research and Technology, 11(11).
Davuluri, M. (2022). Comparative Study of Machine Learning Algorithms in Predicting Diabetes Onset Using Electronic Health Records. Research-gate journal, 8(8).
