Rumour Detection in Social Networks Using e-LM (Enhanced Language Models)

Vijaya Bhaskar Reddy B., Lahari B., Chinmayee Sruthi B., Naga Kavya T., Durga R.

2025

Abstract

In today’s fast-paced digital world, social networks serve as powerful platforms for information exchange. However, alongside accurate news, misinformation and rumors spread just as rapidly, often causing confusion, damaging reputations, and influencing public perception. The ability to trace the origin of such false claims is critical for mitigating their impact. Our study introduces an innovative approach to identifying the original source of rumors within social networks using advanced data analytics and network analysis. By examining the flow of information and analyzing dissemination patterns, we aim to track misinformation back to its source, providing valuable insights into how rumors evolve and spread. This research is essential for developing effective tools for early detection and containment of false information. By mapping out misinformation pathways, we enable social media platforms, fact-checkers, and policymakers to take proactive measures in curbing its spread. Strengthening the trustworthiness of online information, our findings contribute to building a more reliable digital space. Ultimately, this approach enhances transparency and accountability in digital communication, ensuring that accurate and credible information prevails over misleading content.

Paper Citation

in Harvard Style

B. V., B. L., B. C., T. N. and R. D. (2025). Rumour Detection in Social Networks Using e-LM (Enhanced Language Models). In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 380-385. DOI: 10.5220/0013898500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Vijaya B. and Lahari B. and Chinmayee B. and Naga T. and Durga R.},
title={Rumour Detection in Social Networks Using e-LM (Enhanced Language Models)},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={380-385},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013898500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Rumour Detection in Social Networks Using e-LM (Enhanced Language Models)
SN - 978-989-758-777-1
AU - B. V.
AU - B. L.
AU - B. C.
AU - T. N.
AU - R. D.
PY - 2025
SP - 380
EP - 385
DO - 10.5220/0013898500004919
PB - SciTePress