SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation

被引:12
作者
Choras, Michal [1 ]
Pawlicki, Marek [1 ]
Kozik, Rafal [1 ]
Demestichas, Konstantinos [2 ]
Kosmides, Pavlos [2 ]
Gupta, Manik [3 ]
机构
[1] UTP Univ Sci & Technol, Bydgoszcz, Poland
[2] Natl Tech Univ Athens, ICCS, Athens, Greece
[3] London South Bank Univ, London, England
来源
14TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY (ARES 2019) | 2019年
基金
欧盟地平线“2020”;
关键词
pattern recognition; security; safety; detection; fake news; networks;
D O I
10.1145/3339252.3341497
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The extreme growth and adoption of Social Media, in combination with their poor governance and the lack of quality control over the digital content being published and shared, has led information veracity to a continuous deterioration. Current approaches entrust content verification to a single centralised authority, lack resilience towards attempts to successfully "game" verification checks, and make content verification difficult to access and use. In response, our ambition is to create an open, democratic, pluralistic and distributed ecosystem that allows easy access to various verification services (both internal and third-party), ensuring scalability and establishing trust in a completely decentralized environment. In fact, this is the ambition of the EU H2020 SocialTruth project. In this paper, we present the innovative project approach and the vision of effective online disinformation detection for various practical use-cases.
引用
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页数:10
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