Global Journal of Computer Science and Technology, C: Software & Data Engineering, Volume 22 Issue 2

© 2022. Md. Ziaur Rahman Shamim, Shaheena Sultana, Anika Tabassum, Israt Tabassum & Sarkar Binoyee Farha. This research/review article is distributed under the terms of the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BYNCND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https://creativecommons.org/licenses/by-nc-nd/4.0/. Global Journal of Computer Science and Technology: C Software & Data Engineering Volume 22 Issue 2 Version 1.0 Year 2022 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Fake News Detection: Covid-19 Perspective By Md. Ziaur Rahman Shamim, Shaheena Sultana, Anika Tabassum, Israt Tabassum & Sarkar Binoyee Farha Notre Dame University Abstract- The development of social media has contributed to a remarkable rise in the spread of fake news. Today people rely more on online news outlets. The chance of receiving fake news on an online platform is high. As we went through a pandemic and the Covid-19 was the most absorbing topic of 2020, much news on Covid-19 was published every day in traditional media and social media. Among that news, some are fake. In this work, we have collected a new dataset for detecting fake news from traditional media on Covid-19. We have gathered more than 3000 pieces of news from traditional media out of the 170 are fake ones that were collected from fact-checking sites. Then we have tested the existing four classification algorithms with our dataset using Count Vectorizer and TF-IDF. We have merged 170 fake news with four scales of true news and analyzed the outcome. fake news, fake news detection, traditional media, data set, covid-19, social media. GJCST-C Classification: DDC Code: 004.678 LCC Code: TK5105.875.I57 FakeNewsDetectionCovid19Perspective Strictly as per the compliance and regulations of: Index Terms: