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 using Machine Learning and Deep Learning Hybrid Algorithms Subject The topic of the resource Convolutional neural networks; Fake news; Hybrid model; Long short-term memory Description An account of the resource Spreading misinformation or fake news for personal, political, or financial gain has become very common these days. The influence of this misinformation on peoples opinions can be significant, i.e., the 2016 presidential election in the United States was a perfect illustration of how false news may be used to deceive people. In todays fast-paced world, automatic detection of fake news has become an importantrequirement. In this paper, multiple machine learning algorithms have been implemented to perform classification. A proposition of a hybrid architecture consisting of CNN along with LSTM has also been made. The proposed model outperforms the other traditional approaches. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Saha A.; Thomas K.T. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-462, pp. 447-456. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-19-2211-4_40" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_40</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135067536&amp;doi=10.1007%2F978-981-19-2211-4_40&amp;partnerID=40&amp;md5=97dbdcbdc9db64878174301d3c1700b6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135067536&amp;doi=10.1007%2f978-981-19-2211-4_40&amp;partnerID=40&amp;md5=97dbdcbdc9db64878174301d3c1700b6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981192210-7 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 Saha A., Department of Data Science, Christ (Deemed to be University), Bangalore, India; Thomas K.T., Department of Data Science, Christ (Deemed to be University), Bangalore, India