Title: Future trend of rumour detection by using net-map analysis: a bibliometric review

Authors: Neetu Rani; Prasenjit Das

Addresses: Department of Computer Science and Engineering, Chandigarh University, India ' Department of Computer Applications, Chitkara University, Himachal Pradesh, India

Abstract: Through the enhancement of numerous social media sites rumours spread more rapidly among society and influence people in a very negative way. In the last decade more attention is given by the researchers to mitigate the threats produced by rumour. The present study provides bibliometric analysis by using various tools and discusses research advancement in the area of rumour detection. The present study uses VOSviewer software to implement the bibliometric analysis of 1,907 records related to rumour dissemination by collecting the data from the Web of Science from 1989 to 2019. The bibliometric results have shown publications trends, main journals, most cited articles, most productive country, prominent authors and institutions. Further net-map analysis illustrates the growth of rumour detection in past, present and future as well. This study illustrates the publication evolution during the time, identifies the area of present investigation and probable guidelines for forthcoming research. Bibliometric and network analysis outcomes from this research will significantly facilitate understanding the progress and trends in rumour detection.

Keywords: rumour; bibliometric analysis; fake news; social media.

DOI: 10.1504/IJBIDM.2025.147329

International Journal of Business Intelligence and Data Mining, 2025 Vol.27 No.1, pp.67 - 88

Received: 28 Apr 2021
Accepted: 09 Mar 2022
Published online: 14 Jul 2025 *