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  Published Paper Details:

  Paper Title

High-Fidelity Social Networking Platforms on User Engagement and Information Dynamics

  Authors

  Mandeep,  Richa Grover,  Vishnu Saini,  Diksha

  Keywords

Android, Java, API, Machine Learning Algorithms, Networking, Connectivity

  Abstract


In today's digitally connected world, social networking application have become an integral part of people's lives, revolutionizing the way we communicate, interact, and share information. This abstract introduces a transformative social networking application designed to foster meaningful connections and enhance social experiences in the digital age. The proposed social networking application aims to address the limitations and challenges commonly associated with existing platforms. It emphasizes user privacy and data security, ensuring that individuals have control over their personal information and interactions. By prioritizing user safety, the platform seeks to create a trusted environment for fostering authentic connections and promoting positive online interactions. The social networking application implements advanced algorithms and intelligent recommendation systems to provide users with tailored content and personalized experiences. Through sophisticated data analytics, it leverages user preferences and interests to deliver relevant and engaging content, fostering communities around shared passions and hobbies. Moreover, the application incorporates innovative features that encourage meaningful interactions and deeper connections among its users. It provides a range of communication tools, such as real-time messaging, video calls, and voice chats, enabling users to engage in more authentic and intimate conversations. Additionally, it offers virtual events, interest-based groups, and collaborative spaces, facilitating active participation and fostering a sense of belonging. Recognizing the importance of mental health and well-being, the social networking application incorporates features that promote positive online experiences. It encourages empathy, inclusivity, and respect through community guidelines and moderation systems. Furthermore, it offers resources and support networks to address issues related to cyberbullying, harassment, and other negative online behaviors. This abstract presents an overview of a transformative social networking application that aspires to revolutionize online connections. By prioritizing privacy, personalization, and positive experiences, the platform aims to create a vibrant digital community that enriches the lives of its users. Through innovation and user-centric design, it endeavors to redefine social networking, empowering individuals to forge deeper connections and embrace the vast potential of the digital world.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405700

  Paper ID - 260589

  Page Number(s) - g531-g541

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mandeep,  Richa Grover,  Vishnu Saini,  Diksha,   "High-Fidelity Social Networking Platforms on User Engagement and Information Dynamics", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.g531-g541, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405700.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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