research-article

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

Authors:

Michał Choraś,

Marek Pawlicki,

Konstantinos Demestichas,

Pavlos Kosmides,

Manik GuptaAuthors Info & Claims

ARES '19: Proceedings of the 14th International Conference on Availability, Reliability and Security

Article No.: 68, Pages 1 - 10

https://doi.org/10.1145/3339252.3341497

Published: 26 August 2019 Publication History

Abstract

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.

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Cited By

Kozik RPawlicka APawlicki MChoraś MMazurczyk WCabaj K(2024)A Meta-Analysis of State-of-the-Art Automated Fake News Detection MethodsIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.329662711:4(5219-5229)Online publication date: Aug-2024
https://doi.org/10.1109/TCSS.2023.3296627
Díez-Garrido MCalvo DCano-Orón L(2022)The Mirage of TruthContemporary Politics, Communication, and the Impact on Democracy10.4018/978-1-7998-8057-8.ch008(133-151)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-8057-8.ch008
Paredes JTeze JMartinez MSimari G(2022)The HEIC application framework for implementing XAI-based socio-technical systemsOnline Social Networks and Media10.1016/j.osnem.2022.10023932(100239)Online publication date: Nov-2022
https://doi.org/10.1016/j.osnem.2022.100239
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cover image ACM Other conferences

ARES '19: Proceedings of the 14th International Conference on Availability, Reliability and Security

August 2019

979 pages

ISBN:9781450371643

DOI:10.1145/3339252

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 August 2019

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Horizon 2020

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ARES '19

ARES '19: 14th International Conference on Availability, Reliability and Security

August 26 - 29, 2019

CA, Canterbury, United Kingdom

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Overall Acceptance Rate 228 of 451 submissions, 51%

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Cited By

Kozik RPawlicka APawlicki MChoraś MMazurczyk WCabaj K(2024)A Meta-Analysis of State-of-the-Art Automated Fake News Detection MethodsIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.329662711:4(5219-5229)Online publication date: Aug-2024
https://doi.org/10.1109/TCSS.2023.3296627
Díez-Garrido MCalvo DCano-Orón L(2022)The Mirage of TruthContemporary Politics, Communication, and the Impact on Democracy10.4018/978-1-7998-8057-8.ch008(133-151)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-8057-8.ch008
Paredes JTeze JMartinez MSimari G(2022)The HEIC application framework for implementing XAI-based socio-technical systemsOnline Social Networks and Media10.1016/j.osnem.2022.10023932(100239)Online publication date: Nov-2022
https://doi.org/10.1016/j.osnem.2022.100239
Lavanya KYasaswini LAnusha CVyshnavi KVyshnavi M(2022)Detection of Fake News Using Clustering AlgorithmsSoft Computing for Security Applications10.1007/978-981-19-3590-9_51(655-664)Online publication date: 30-Sep-2022
https://doi.org/10.1007/978-981-19-3590-9_51
Guerar MMigliardi M(2022)TruthSeekers Chain: Leveraging Invisible CAPPCHA, SSI and Blockchain to Combat Disinformation on Social MediaComputational Science and Its Applications – ICCSA 2022 Workshops10.1007/978-3-031-10542-5_29(419-431)Online publication date: 23-Jul-2022
https://doi.org/10.1007/978-3-031-10542-5_29
Ćwiklinski BGiełczyk AChoraś M(2021)Who Will Score? A Machine Learning Approach to Supporting Football Team Building and TransfersEntropy10.3390/e2301009023:1(90)Online publication date: 10-Jan-2021
https://doi.org/10.3390/e23010090
Ush Shahid IAnjum MHossain Miah Shohan MTasnim RAl-Amin M(2021)Authentic Facts: A Blockchain Based Solution for Reducing Fake News in Social MediaProceedings of the 2021 4th International Conference on Blockchain Technology and Applications10.1145/3510487.3510505(121-127)Online publication date: 17-Dec-2021
https://dl.acm.org/doi/10.1145/3510487.3510505
Kula SKozik RChoraś M(2021)Implementation of the BERT-derived architectures to tackle disinformation challengesNeural Computing and Applications10.1007/s00521-021-06276-034:23(20449-20461)Online publication date: 22-Jul-2021
https://doi.org/10.1007/s00521-021-06276-0
Demestichas KRemoundou KAdamopoulou E(2020)Food for Thought: Fighting Fake News and Online DisinformationIT Professional10.1109/MITP.2020.297804322:2(28-34)Online publication date: 1-Mar-2020
https://doi.org/10.1109/MITP.2020.2978043
Alhalabi WJussila JJambi KVisvizi AQureshi HLytras MMalibari AAdham R(2020)Social mining for terroristic behavior detection through Arabic tweets characterizationFuture Generation Computer Systems10.1016/j.future.2020.10.027Online publication date: Oct-2020
https://doi.org/10.1016/j.future.2020.10.027
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