• Leela Manush Gutta
  • Tirupathi Rao Bammidi
  • Ravi Kumar Batchu
  • Nageswararao Kanchepu


 This research explores advanced data analysis techniques tailored for live streaming platforms, addressing the challenges of real-time  data analytics in the dynamic environment of live broadcasts.  Utilizing cutting-edge statistical methods, machine learning  algorithms, and data visualization tools, the study goes beyond  traditional metrics, considering audience sentiment, interaction  dynamics, and stream health. Through case studies, the research  demonstrates the impact of real-time insights on content creators,  platform administrators, and end-users. The goal is to provide a  comprehensive framework that empowers stakeholders to optimize 
decision-making, content recommendations, and audience  engagement, contributing to a more informed and enriched digital 
entertainment experience for global audiences.


Blumler, J.G., Katz, E.: The Uses of Mass Communications: Current Perspectives on Gratifications Research. Sage, Newsbury Park (1974)

Correa, T., Hinsley, A.W., de Zúñiga, H.G.: Who interacts on the web? The intersection of users’ personality and social media use. Comput. Hum. Behav. 26(2), 247–253 (2009).

Dowell, C.T., Duncan, D.F.: Periscoping economics through someone else’s eyes: a real world (Twitter) app. IREE 23, 34–39 (2016).

Faklaris, C., Cafaro, F., Hook, S.A., Blevins, A., O’Haver, M., Singhal, N.: Legal and ethical implications of mobile live-streaming video apps. In: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, pp. 722–729. ACM, New York (2016).

Fietkiewicz, K.J., Dorsch, B., Scheibe, K., Zimmer, F., Stock, W.G.: Dreaming of stardom

and money: micro-celebrities and influencers on live streaming services. In: Meiselwitz, G. (ed.) SCSM 2018. LNCS, xx–yy, vol. 10913. Springer, Cham (2018)

Fietkiewicz, K.J., Scheibe, K.: Good morning… good afternoon, good evening and good night: adoption, usage and impact of the live streaming platform YouNow. In: Proceedings of the 3rd International Conference on Library and Information Science, pp. 92–115. International Business Academics Consortium, Taipeh (2017)

Fichet, E., Robinson, J., Dailey, D., Starbird, K.: Eyes on the ground: emerging practices in Periscope use during crisis events. In: Tapia, A., Antunes, P., Bañuls, V.A., Moore, K., Porto, J. (eds.) ISCRAM 2016, Conference Proceedings – 13th International Conference on Information Systems for Crisis Response and Management, pp. 1–10. Federal University of Rio de Janeiro, Rio de Janeiro (2016)

Friedländer, M.B.: Streamer motives and user generated content on social live-streaming services. J. Inf. Sci. Theor. Pract. 5(1), 65–84 (2017). 1.5

Friedländer, M.B.: And action! Live in front of the camera: an evaluation of the social live streaming service YouNow. Int. J. Inf. Commun. Technol. Human Dev. 9(1), 15–33 (2017).

Gros, D., Wanner, B., Hackenholt, A., Zawadzki, P., Knautz, K.: World of streaming. motivation and gratification on Twitch. In: Meiselwitz, G. (ed.) SCSM 2017. LNCS, vol. 10282, pp. 44–57. Springer, Cham (2017).

Honka, A., Frommelius, N., Mehlem, A., Tolles, J.-N., Fietkiewicz, K.J.: How safe is

YouNow? An empirical study on possible law infringements in Germany and the United States. J MacroTrends Soc. Sci. 1(1), 1–17 (2015)

Hsieh, H.F., Shannon, S.E.: Three approaches to qualitative content analysis. QHR 15(9), 1277–1288 (2005).

Krippendorff, K.: Content Analysis: An Introduction to Its Methodology, 2nd edn. Sage,

Thousand Oaks (2004)

Lessel, P., Mauderer, M., Wolff, C., Krüger, A.: Let’s play my way: investigating audience influence in user-generated gaming live-streams. In: Proceedings of the 2017 ACM

International Conference on Interactive Experiences for TV and Online Video, pp. 51–63. ACM, New York (2017).

Lai, L.S.L., To, W.M.: Content analysis of social media: a grounded theory approach. J. Electron. Commer. Res. 16(2), 138–152 (2015)

McMillan, S.J.: The microscope and the moving target: the challenge of applying content

analysis to the World Wide Web. JMCQ 77(1), 80–98 (2000). 107769900. 007700107

Dr.Naveen Prasadula (2023) Review of Literature of Real-Time Revelations: Advanced Data Analysis Techniques For Live Streaming)

Recktenwald, D.: Toward a transcription and analysis of live streaming on Twitch. J. Pragmat. 115, 68–81 (2017).

Rugg, A., Burroughs, B.: Periscope, live-streaming and mobile video culture. In: Geo-blocking and Global Video Culture (Theory on Demand; 18), pp. 64–73. Institute of Network Culture, Amsterdam (2016)

Scheibe, K., Fietkiewicz, K.J., Stock, W.G.: Information behavior on social live streaming services. J. Inf. Sci. Theor. Pract. 4(2), 6–20 (2016). 2

Scheibe, K., Göretz, J., Meschede, C., Stock, W.G.: Giving and taking gratifications in a gamified social live streaming service. In: Proceedings of the 5th European Conference on Social Media. Academic Conferences and Publishing International, Reading (2018)

Seymour, C.: Social media and the gender gap: what do you share? EContent 35(3), 8–10 (2012)

Statista: Distribution of Twitch Users Worldwide as of 3rd Quarter 2016, by Gender (2016).

Tang, J.C., Veniola, G., Inkpen, K.M.: Meerkat and Periscope: i stream, you stream, apps stream for live streams. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 4770–4780. ACM, New York (2016). 2858036.2858374

Dr.Naveen Prasadula (2023) Review of Literature of Real-Time Revelations: Advanced Data Analysis Techniques For Live Streaming

Ustream: Live Event Streaming Services & Solutions (2018).

Zimmer, F., Fietkiewicz, K.J., Stock, W.G.: Law infringements in social live streaming services. In: Tryfonas, T. (ed.) HAS 2017. LNCS, vol. 10292, pp. 567–585. Springer, Cham (2017).

Zimmer, F., Scheibe, K., Stock, W.G.: A model for information behavior research on social live streaming services (SLSSs). In: Meiselwitz, G. (ed.) SCSM 2018. LNCS. Springer, Cham (2018, in Press)

bhanushali, a., singh, k., sivagnanam, k., & patel, k. k. (2023). women's breast cancer predicted using the random forest approach and comparison with other methods. journal of data acquisition and processing, 38(4), 921.

Vegesna, V. V. (2015). Incorporating Data Mining Approaches and Knowledge Discovery Process to Cloud Computing for Maximizing Security. International Journal of Current Engineering and Scientific Research, 2, 118-133.

Vinod Varma Vegesna (2016). “Threat and Risk Assessment Techniques and Mitigation Approaches for Enhancing Security in Automotive Domain,” International Journal of Management, Technology And Engineering, Volume VI, Issue II, July-Dec 2016, Pages 314-331

Vegesna, V. V. (2017). Incorporating Wireless Sensor Networks and the Internet of Things: A Hierarchical and Security-Based Analysis. International Journal of Current Engineering and Scientific Research, 4, 94-106.

Vegesna, V. V. (2018). Analysis of Artificial Intelligence Techniques for Network Intrusion Detection and Intrusion Prevention for Enhanced User Privacy. Asian Journal of Applied Science and Technology (AJAST) Volume, 2, 315-330.

Vegesna, V. V. (2019). Investigations on Different Security Techniques for Data Protection in Cloud Computing using Cryptography Schemes. Indo-Iranian Journal of Scientific Research (IIJSR) Volume, 3, 69-84.

Vegesna, V. V. (2020). Secure and Privacy-Based Data Sharing Approaches in Cloud Computing for Healthcare Applications. Mediterranean Journal of Basic and Applied Sciences (MJBAS) Volume, 4, 194-209.







How to Cite

REAL-TIME REVELATIONS: ADVANCED DATA ANALYSIS TECHNIQUES. (2024). International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-22.