@article{1443313,
      recid = {1443313},
      author = {Lahby, Mohamed, and Pathan, Al-Sakib Khan, and Maleh,  Yassine, and Yafooz, Wael Mohamed Shaher,},
      title = {Combating fake news with computational intelligence  techniques /},
      pages = {1 online resource (432 pages) :},
      abstract = {This book presents the latest cutting-edge research,  theoretical methods, and novel applications in the field of  computational intelligence techniques and methods for  combating fake news. Fake news is everywhere. Despite the  efforts of major social network players such as Facebook  and Twitter to fight disinformation, miracle cures and  conspiracy theories continue to rain down on the net.  Artificial intelligence can be a bulwark against the  diversity of fake news on the Internet and social networks.  This book discusses new models, practical solutions, and  technological advances related to detecting and analyzing  fake news based on computational intelligence models and  techniques, to help decision-makers, managers,  professionals, and researchers design new paradigms  considering the unique opportunities associated with  computational intelligence techniques. Further, the book  helps readers understand computational intelligence  techniques combating fake news in a systematic and  straightforward way.},
      url = {http://library.usi.edu/record/1443313},
      doi = {https://doi.org/10.1007/978-3-030-90087-8},
}