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 Articles Article Faculty Publications -Articles 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 Deep vs. Shallow: A Comparative Study of Machine Learning and Deep Learning Approaches for Fake Health News Detection Subject The topic of the resource classification; deep learning; Fake news; healthcare; machine learning; readability features Description An account of the resource Internet explosion and penetration have amplified the fake news problem that existed even before Internet penetration. This becomes more of a concern, if the news is health-related. To address this issue, this research proposes Content Based Models (CBM) and Feature Based Models (FBM). The difference between the two models lies in the input provided. The CBM only takes news content as the input, whereas the FBM along with the content also takes two readability features as the input. Under each category, the performance of five traditional machine learning techniques: - Decision Tree, Random Forest, Support Vector Machine, AdaBoost-Decision Tree and AdaBoost-Random Forest is compared with two hybrid Deep Learning approaches, namely CNN-LSTM and CNN-BiLSTM. The Fake News Healthcare dataset comprising 9581 articles was utilized for the study. Easy Data Augmentation technique is used to balance this highly imbalanced dataset. The experimental results demonstrate that Feature Based Models perform better than Content Based Models. Among the proposed FBM, the Hybrid CNN - LSTM model had a F1 score of 97.09% and AdaBoost-Random Forest had a F1 Score of 98.9%. Thus, Adaboost-Random Forest under FBM is the best-performing model for the classification of fake news. 2013 IEEE. Creator An entity primarily responsible for making the resource Mahara T.; Helen Josephine V.L.; Srinivasan R.; Prakash P.; Algarni A.D.; Verma O.P. Source A related resource from which the described resource is derived IEEE Access, Vol-11, pp. 79330-79340. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2023.3298441" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2023.3298441</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165907642&amp;doi=10.1109%2FACCESS.2023.3298441&amp;partnerID=40&amp;md5=3e0325b92c53e759025e1cb2678110b9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165907642&amp;doi=10.1109%2fACCESS.2023.3298441&amp;partnerID=40&amp;md5=3e0325b92c53e759025e1cb2678110b9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mahara T., Prin L.N. Welingkar Institute of Management Development and Research, Department of Research and Business Analytics, Karnataka, Bangalore, 560100, India; Helen Josephine V.L., Christ University, School of Business and Management, Karnataka, Bangalore, 560029, India; Srinivasan R., Christ University, School of Business and Management, Karnataka, Bangalore, 560029, India; Prakash P., Christ University, School of Business and Management, Karnataka, Bangalore, 560029, India; Algarni A.D., Princess Nourah Bint Abdulrahman University, College of Computer and Information Sciences, Department of Information Technology, P.O. Box 84428, Riyadh, 11671, Saudi Arabia; Verma O.P., Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Department of Instrumentation and Control Engineering, Punjab, Jalandhar, 144011, India