Big Data Analytics for Tracking and Visualizing the Spread of Disinformation in Social Media Networks
DOI:
https://doi.org/10.53032/tvcr/2025.v7n4.23Keywords:
Big data, Disinformation, Social media, Data visualization, Network analysisAbstract
Social media is rapidly disseminating fake news in an unprecedented way is now a global phenomenon that affects public sentiment, undermines institutions, and fuels political polarisation. The data in this paper is used with the big data analytics to track and visualize the spread of fake news online. Using cutting edge data mining, network analysis and interactive visualization, the paper shows how disinformation campaigns function in time and at their central nodes. This new model includes scalable algorithms and monitoring capabilities in real-time, to solve problems like data heterogeneity, multilingualism and ethical issues. Data show that the framework is successful in flagging disinformation hotspots and making it feasible to intervene, both for policymakers, platform managers and researchers. The study adds to a wider discussion about countering disinformation by providing an evidence-based way to minimise its social effects.
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Funding data
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Indian Council of Social Science Research
Grant numbers ICSSR/RPD/MJ/2023-2024/G/174
