Synthesizing Human Expert Opinion to Assess News towards News Authenticity

S. Sangeetha, S. Padmapriya, J. Sudha, R. Sudha, A. Vivekanandhan, R. Valampuranayaki

2025

Abstract

Socio-Political impact on news dissemination, the media is flooded with News with biased headlines to generate a substantial profit and sometimes due to some socio-political influence it becomes grey area and is widely use to influence it. As a result, there are several issues that have come to the forefront. such as the socio-political impact of news propagation, the declining independence of news media, and a straightforward news assessment system have become increasingly relevant issues due to the rising use of internet news. Political polarization, motivated reasoning, and social media algorithms are the cause of fake news. Fake news, no matter the extent of impact, is definitely damaging. The essence is that the news, we read or receive, shall have good sources and the information shared in the news shall be authentic. This study tries to find and verify the fake news. The Natural Language Processing (NLP) model is trained iteratively using the incremental data to achieve the desired output before being utilized for fake news detection.

Paper Citation

in Harvard Style

Sangeetha S., Padmapriya S., Sudha J., Sudha R., Vivekanandhan A. and Valampuranayaki R. (2025). Synthesizing Human Expert Opinion to Assess News towards News Authenticity. 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 17-20. DOI: 10.5220/0013876100004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Sangeetha and S. Padmapriya and J. Sudha and R. Sudha and A. Vivekanandhan and R. Valampuranayaki},
title={Synthesizing Human Expert Opinion to Assess News towards News Authenticity},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={17-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013876100004919},
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 - Synthesizing Human Expert Opinion to Assess News towards News Authenticity
SN - 978-989-758-777-1
AU - Sangeetha S.
AU - Padmapriya S.
AU - Sudha J.
AU - Sudha R.
AU - Vivekanandhan A.
AU - Valampuranayaki R.
PY - 2025
SP - 17
EP - 20
DO - 10.5220/0013876100004919
PB - SciTePress