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Sara G. Fahmy, Khaled M. Abdelgaber, Omar H. Karam and Doaa S. Elzanfaly
The mechanisms of information diffusion in Online Social Networks (OSNs) have been studied extensively from various perspectives with some focus on identifying and modeling the role of heterogeneous nodes. However, none of these studies have considered t...
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Pawel Gryka and Artur Janicki
Many customers rely on online reviews to make an informed decision about purchasing products and services. Unfortunately, fake reviews, which can mislead customers, are increasingly common. Therefore, there is a growing need for effective methods of dete...
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Iraklis Varlamis, Dimitrios Michail, Foteini Glykou and Panagiotis Tsantilas
The combat against fake news and disinformation is an ongoing, multi-faceted task for researchers in social media and social networks domains, which comprises not only the detection of false facts in published content but also the detection of accountabi...
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Nour Jnoub, Admir Brankovic and Wolfgang Klas
A rising number of people use online reviews to choose if they want to use or buy a service or product. Therefore, approaches for identifying fake reviews are in high request. This paper proposes a hybrid rule-based fact-checking framework based on Answe...
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Adiline Macriga G
At present, the social life of everyone has become associated with the online social networks. Also, every online business is linked to users through websites. Users are allowed to create separate personal or official accounts in order to access these we...
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