Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Fake News Detection: An Effective Content-Based Approach Using Machine Learning Techniques Subject The topic of the resource Fake News; Machine Learning; Natural Language Processing; Passive-Aggressive Classifier; Support Vector Classifier; Voting Classifier Description An account of the resource Fake news is any information fabricated to mislead readers to spread an idea for certain gains (usually political or financial). In today's world, accessing and sharing information is very fast and almost free. Internet users are growing significantly than ever before. Therefore, online platforms are perfect grounds to spread information to a broader section of society. What could circulate between a relative few can now circulate globally overnight. This advantage also marked the increase in the number of fake news attacks by its users, which is unsuitable for a healthy society. Therefore, there is a need for good algorithms to identify and take down fake information as soon as they appear. This paper aims at solving the problem by automating the process of identifying fake news using its content. Evaluation metrics like the accuracy of correct classification, precision, recall and f1-score assess the performance of the approach. The machine learning approach achieved its best performance with 96.7 percentage accuracy, 96.2 percentage precision, 97.5 percentage recall and 96.9 percentage f1 score on the ISOT dataset. 2022 IEEE. Creator An entity primarily responsible for making the resource Mathews E.Z.; Preethi N. Source A related resource from which the described resource is derived 2022 International Conference on Computer Communication and Informatics, ICCCI 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCI54379.2022.9741049" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCI54379.2022.9741049</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128773843&amp;doi=10.1109%2FICCCI54379.2022.9741049&amp;partnerID=40&amp;md5=f59d64605561af35639b878a5f55f26e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128773843&amp;doi=10.1109%2fICCCI54379.2022.9741049&amp;partnerID=40&amp;md5=f59d64605561af35639b878a5f55f26e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548035-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mathews E.Z., Christ University, Data Science Department, Pune, India; Preethi N., Christ University, Data Science Department, Pune, India