16
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Fake news, disinformation and misinformation in social media: a review

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Online social networks (OSNs) are rapidly growing and have become a huge source of all kinds of global and local news for millions of users. However, OSNs are a double-edged sword. Although the great advantages they offer such as unlimited easy communication and instant news and information, they can also have many disadvantages and issues. One of their major challenging issues is the spread of fake news. Fake news identification is still a complex unresolved issue. Furthermore, fake news detection on OSNs presents unique characteristics and challenges that make finding a solution anything but trivial. On the other hand, artificial intelligence (AI) approaches are still incapable of overcoming this challenging problem. To make matters worse, AI techniques such as machine learning and deep learning are leveraged to deceive people by creating and disseminating fake content. Consequently, automatic fake news detection remains a huge challenge, primarily because the content is designed in a way to closely resemble the truth, and it is often hard to determine its veracity by AI alone without additional information from third parties. This work aims to provide a comprehensive and systematic review of fake news research as well as a fundamental review of existing approaches used to detect and prevent fake news from spreading via OSNs. We present the research problem and the existing challenges, discuss the state of the art in existing approaches for fake news detection, and point out the future research directions in tackling the challenges.

          Related collections

          Most cited references146

          • Record: found
          • Abstract: not found
          • Article: not found

          The spread of true and false news online

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Social Media and Fake News in the 2016 Election

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The science of fake news

                Bookmark

                Author and article information

                Contributors
                aimeur@iro.umontreal.ca
                sabrine.amri@umontreal.ca
                brassard@iro.umontreal.ca
                Journal
                Soc Netw Anal Min
                Soc Netw Anal Min
                Social Network Analysis and Mining
                Springer Vienna (Vienna )
                1869-5450
                1869-5469
                9 February 2023
                2023
                : 13
                : 1
                : 30
                Affiliations
                GRID grid.14848.31, ISNI 0000 0001 2292 3357, Department of Computer Science and Operations Research (DIRO), , University of Montreal, ; Montreal, Canada
                Author information
                http://orcid.org/0000-0001-7414-5454
                http://orcid.org/0000-0002-5009-4573
                http://orcid.org/0000-0002-4380-117X
                Article
                1028
                10.1007/s13278-023-01028-5
                9910783
                36789378
                0090f3ed-87ba-4fd2-834b-d5b66a493e11
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 20 October 2022
                : 7 January 2023
                : 12 January 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Funded by: Canada Research Chair program
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Austria, part of Springer Nature 2023

                fake news,disinformation,misinformation,information disorder,online deception,online social networks

                Comments

                Comment on this article