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                  models: a novel approach. Trans Emerg Telecommun   conference  on  advances  in  computing  and
                  Technol 31(2). 10.1002/ett.3767.                   communication engineering (ICACCE). IEEE, 2020.
             [3]   Shu  K,  Mahudeswaran  D,  Wang  S,  Lee  D,  Liu  H.   [9]   S.  Das  Bhattacharjee,  A.  Talukder,  and  B.  V.
                  FakeNewsNet: a data repository with news content,   Balantrapu,  “Active  learning-based  news  veracity
                  social  context,  and  spatiotemporal  information  for   detection with feature weighting and deep-shallow
                  studying  fake  news  on  social  media.  Big  data.   fusion,” Proc. - 2017 IEEE Int. Conf. Big Data, Big Data
                  2020;8(3):171–188.                                 2017, vol. 2018–January, pp. 556–565, 2018.
             [4]   Ahmed H., Traore I., and Saad S., Detection of online   [10]   M. Granik and V. Mesyura, “Fake news detection using
                  fake  news  using  n-gram  analysis  and  machine   naive  Bayes  classifier,”  2017  IEEE  1st  Ukr.  Conf.
                  learning techniques, Proceedings of the International   Electr. Comput. Eng. UKRCON 2017 - Proc., pp. 900–
                  Conference  on  Intelligent,  Secure,  and  Dependable   903,          2017.               [2]
                  Systems in Distributed and Cloud Environments, 2017,   https://indianexpress.com/article/technology/social
                  Vancouver,   Canada,   Springer,   127–138,        /whatsapp-fight-against-fake-news-top-features-to-
                  https://doi.org/10.1007/978-3-319-69155-8_9,  2-   curb-spread-of-misinformation-5256782/
                  s2.0-85032711154.
                                                               [11]   R.  L.  Vander  Wal,  V.  Bryg,  and  M.  D.  Hays,  “X-Ray
             [5]   Conroy,  N.  J.,  Rubin,  V.  L.,  &  Chen,  Y.  (2015,   Photoelectron Spectroscopy (XPS) Applied to Soot &
                  November). Automatic deception detection: Methods   What It Can Do for You,” Notes, pp. 1–35, 2006
                  for  finding  fake  news.  In  Proceedings  of  the  78th   [12]   N. Kim, D. Seo, and C. S. Jeong, “FAMOUS: Fake News
                  ASIS&T  Annual  Meeting:  Information  Science  with   Detection  Model  Based  on  Unified  Key  Sentence
                  Impact: Research in and for the Community (p. 82).   Information,” Proc. IEEE Int. Conf. Softw. Eng. Serv.
                  American Society for Information Science.
                                                                     Sci. ICSESS, vol. 2018–November, pp. 617–620, 2019.
             [6]   Najafabadi, M. M., Villanustre, F., Khoshgoftaar, T. M.,   [13]
                  Seliya, N., Wald, R., & Muharemagic, E. (2015). Deep   M.  Gahirwal,  “Fake  News  Detection,”  International
                                                                     Journal of Advance Research, Ideas and Innovations in
                  learning  applications  and  challenges  in  big  data
                                                                     Technology, vol. 4, no. 1, pp. 817–819, 2018.
                  analytics. Journal of Big Data, 2(1), 1.
                                                               [14]   Singh,  V.,  Dasgupta,  R.,  Sonagra,  D.,  Raman,  K.,  &
             [7]   Reham Jehad and Suhad A. Yousif. 2020. Fake News
                                                                     Ghosh,  I.  (2017).  Automated  Fake  News  Detection
                  Classification Using Random Forest and Decision Tree
                                                                     Using  Linguistic  Analy-  sis  and  Machine  Learning.
                  (J48),  Al-Nahrain  Journal  of  Science  ANJS.  23  (4),
                                                                     International  Conference  on  Social  Computing,
                  December, 2020, 49−55.
                                                                     Behavioral-Cultural  Modeling,  &  Prediction  and
             [8]   Ankit  Kesarwani,  Sudakar  S.  Chauhan,  and  Anil  R.   Behavior Representation in Modeling and Simulation
                  Nair.  2020.  "Fake  news  detection  on  social  media   (SBP-BRiMS).
                  using  k-nearest  neighbor  classifier."  International   http://doi.org/10.13140/RG.2.2.16825.67687








































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