A systematic literature review on disinformation

Toward a unified taxonomical framework

Bibliographic Data

ID12655205
AuthorsEleni Kapantai (0000-0001-9943-6389, International Hellenic University, corresponding author), Androniki Christopoulou (International Hellenic University), Christos Berberidis (0000-0002-3938-7076, International Hellenic University), Vassilios Peristeras (0000-0002-4889-3333, International Hellenic University)
Year2020
Volume23
Issue5
Pages1301-1326
Publication date2020-09-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1461444820959296
OpenAlexW3087305044
LanguageEN
Citations received95
References cited52

The scale, volume, and distribution speed of disinformation raise concerns in governments, businesses, and citizens. To respond effectively to this problem, we first need to disambiguate, understand, and clearly define the phenomenon. Our online information landscape is characterized by a variety of different types of false information. There is no commonly agreed typology framework, specific categorization criteria, and explicit definitions as a basis to assist the further investigation of the area. Our work is focused on filling this need. Our contribution is twofold. First, we collect the various implicit and explicit disinformation typologies proposed by scholars. We consolidate the findings following certain design principles to articulate an all-inclusive disinformation typology. Second, we propose three independent dimensions with controlled values per dimension as categorization criteria for all types of disinformation. The taxonomy can promote and support further multidisciplinary research to analyze the special characteristics of the identified disinformation types

Categorization · Data science · Dimension (graph theory · Disinformation · Social media · Sociology · Taxonomy (biology · Typology · Variety (cybernetics · World Wide Web · Computer Science · Information and Cyber Security · Misinformation and Its Impacts · Spam and Phishing Detection · Artificial Intelligence

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