Scientometric Analysis of Fake News Detection and Machine Learning Based on VOSviewer

Lumbardha Hasimi, Aneta Poniszewska-Marańda

2023

Abstract

This study presents a comprehensive analysis of recent research patterns and progress in the field of fake news detection and machine learning. By examining 2209 publications from 2015 to 2022, the study aims to identify the most fre-quently developed topics and explore the involvement of publications, authors, and institutions. Using the network visualizing tool VOSviewer, a quantitative analysis is performed to investigate research productivity, patterns, and keyword distribution. This study contributes to the understanding of the current state of research in fake news detection and machine learning, and offers valuable in-sights for researchers, policymakers, and technology developers seeking to ad-dress the challenges posed by fake news and disinformation. The findings indi-cate that fake news detection research is still in its early stages and primarily focuses on social media and social contexts. There is a growing interest in the subject, as evidenced by increasing attention from the research community, whereas the network of interconnected research clusters, highlights the multidis-ciplinary nature of fake news detection.

Paper Citation

in Harvard Style

Hasimi L. and Poniszewska-Marańda A. (2023). Scientometric Analysis of Fake News Detection and Machine Learning Based on VOSviewer. In Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-665-1, SciTePress, pages 548-555. DOI: 10.5220/0012128300003538

in Bibtex Style

@conference{icsoft23,
author={Lumbardha Hasimi and Aneta Poniszewska-Marańda},
title={Scientometric Analysis of Fake News Detection and Machine Learning Based on VOSviewer},
booktitle={Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2023},
pages={548-555},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012128300003538},
isbn={978-989-758-665-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Scientometric Analysis of Fake News Detection and Machine Learning Based on VOSviewer
SN - 978-989-758-665-1
AU - Hasimi L.
AU - Poniszewska-Marańda A.
PY - 2023
SP - 548
EP - 555
DO - 10.5220/0012128300003538
PB - SciTePress