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@article{198042,
        author = {Minal Mandwe and Babali Rai},
        title = {The Role of Artificial Intelligence in Enhancing Social Network Informatics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {10792-10796},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198042},
        abstract = {Artificial Intelligence (AI) is no longer just a tool but a transformative force reshaping social network informatics. From advanced data analytics to automated content moderation and user behavior prediction, AI is revolutionizing how we interact and engage online. This paper explores key advancements in AI-driven personalization, misinformation detection, and content moderation while addressing the ethical concerns surrounding data privacy, algorithmic bias, and misinformation spread. Machine learning and natural language processing (NLP) enable sophisticated sentiment analysis, accurate trend forecasting, and dynamic content recommendations, enhancing user engagement and platform efficiency. AI-powered virtual assistants are redefining customer service, fostering seamless interactions within social environments.
Despite its immense potential, AI’s integration into social networks necessitates ethical frameworks and transparent governance to mitigate biases and safeguard user data. Looking ahead, AI will play a pivotal role in strengthening data security, combating fake news, and analyzing social influence, solidifying its place in the evolution of social network informatics. The synergy between AI and big data analytics offers unprecedented opportunities to understand social dynamics, facilitate meaningful interactions, and drive informed decision-making. Future advancements will further refine content curation, community management, and personalized
 digital experiences, making social networks more efficient and user-centric. As AI continues to evolve, interdisciplinary collaboration and responsible deployment will be crucial in ensuring its ethical and impactful application in social network informatics.},
        keywords = {Artificial Intelligence, Natural Language Processing (NLP), Misinformation Detection, Sentiment Analysis, Data Privacy, Algorithmic Bias, Social Influence Analysis},
        month = {April},
        }