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@article{206156,
        author = {Mahima Jangid and Dr. Vijay Singh Rathore},
        title = {Impact of Artificial Intelligence on Personal Engagement in Online Social Networking Platforms: A Socio-Technical Study},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {502-505},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206156},
        abstract = {The integration of Artificial Intelligence (AI) systems into Online Social Networking (OSN) has developed a new era in the ways people communicate and interact by the use of OSNs. This paper focuses on the systems of OSNs, such as recommendation systems, and methods of natural language processing, computer vision and generative AI, and their influences on user activity in OSNs. This study takes a socio-technical approach, and views activity in OSNs as having behavioral, cognitive, emotional, and social dimensions. Previous studies focus on the duality of AI systems and user activity in OSNs, that is the positive aspects of user personalization and user activity forecasting, and the negative aspects such as bias in OSN systems, user inactivity, filter bubbles, and the control of users’ emotional states. This paper demonstrates that there is a demand for presence of ethical AI systems in OSNs, and AI systems of design and implementation will focus on the users of OSNs.},
        keywords = {Artificial Intelligence, Social Media, Engagement, Recommender Systems, NLP, Algorithmic Bias, User Behavior},
        month = {July},
        }