A smart contract logic to reduce hoax propagation across social media

One of the main concerns of cybersecurity is the detection of hoaxes across social media. Hoaxers propagate such messages to mislead users and to promote violence. Several approaches exist in literature to address this issue. They are mainly limited to detect hoax activities by characterizing the me...

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Main Authors: Franklin Tchakounté, Koudanbe Amadou Calvin, Ado Adamou Abba Ari, David Jaures Fotsa Mbogne
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157820304560
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author Franklin Tchakounté
Koudanbe Amadou Calvin
Ado Adamou Abba Ari
David Jaures Fotsa Mbogne
author_facet Franklin Tchakounté
Koudanbe Amadou Calvin
Ado Adamou Abba Ari
David Jaures Fotsa Mbogne
author_sort Franklin Tchakounté
collection DOAJ
description One of the main concerns of cybersecurity is the detection of hoaxes across social media. Hoaxers propagate such messages to mislead users and to promote violence. Several approaches exist in literature to address this issue. They are mainly limited to detect hoax activities by characterizing the message nature and detecting provenance of messages. However, unless hoaxes are detected, they continue to propagate across social media nodes. This work aims at reducing the dissemination of hoaxes across group of users. Relying on social graph structure, this research develops a mechanism based on smart contract logics to prevent a group to consume a fake post. To achieve this objective, we used a smart contract to exploit a trust index computed based on message characteristics and group features such as graph density, group status, group degree, group acceptability. Based on the value of trust index, the message is forwarded or blocked. Experiments realized on groups of different characteristics revealed that the proposed smart contract is even able to reactively block a fake post of the same nature than the group type. Results indicate that the proportion of targeted groups could be reduced even if their interests match with the message subject. This research is an important step forward to anti-promote hoaxes with the novelty of exploiting smart contract approach to contain their propagation.
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spelling doaj.art-37b39e419377488597b399ae2f788cfd2022-12-22T03:31:14ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782022-06-0134630703078A smart contract logic to reduce hoax propagation across social mediaFranklin Tchakounté0Koudanbe Amadou Calvin1Ado Adamou Abba Ari2David Jaures Fotsa Mbogne3Department of Mathematics and Computer Science, University of Ngaoundere, P.O. Box 454, Ngaoundere, CameroonDepartment of Mathematics and Computer Science, University of Ngaoundere, P.O. Box 454, Ngaoundere, CameroonLaRI Lab, University of Maroua, P.O. Box 814, Maroua, Cameroon; LI-PaRAD Lab, Université Paris Saclay, University of Versailles Saint-Quentin-en-Yvelines, 45 Avenue États-Unis, 78035 Versailles cedex, France; Corresponding author at: LaRI Lab, University of Maroua, P.O. Box 814, Maroua, Cameroon.Department of Mathematics and Computer Science, University of Ngaoundere, P.O. Box 454, Ngaoundere, CameroonOne of the main concerns of cybersecurity is the detection of hoaxes across social media. Hoaxers propagate such messages to mislead users and to promote violence. Several approaches exist in literature to address this issue. They are mainly limited to detect hoax activities by characterizing the message nature and detecting provenance of messages. However, unless hoaxes are detected, they continue to propagate across social media nodes. This work aims at reducing the dissemination of hoaxes across group of users. Relying on social graph structure, this research develops a mechanism based on smart contract logics to prevent a group to consume a fake post. To achieve this objective, we used a smart contract to exploit a trust index computed based on message characteristics and group features such as graph density, group status, group degree, group acceptability. Based on the value of trust index, the message is forwarded or blocked. Experiments realized on groups of different characteristics revealed that the proposed smart contract is even able to reactively block a fake post of the same nature than the group type. Results indicate that the proportion of targeted groups could be reduced even if their interests match with the message subject. This research is an important step forward to anti-promote hoaxes with the novelty of exploiting smart contract approach to contain their propagation.http://www.sciencedirect.com/science/article/pii/S1319157820304560BlockDisseminationHoaxReduceSocial graphSmart contract
spellingShingle Franklin Tchakounté
Koudanbe Amadou Calvin
Ado Adamou Abba Ari
David Jaures Fotsa Mbogne
A smart contract logic to reduce hoax propagation across social media
Journal of King Saud University: Computer and Information Sciences
Block
Dissemination
Hoax
Reduce
Social graph
Smart contract
title A smart contract logic to reduce hoax propagation across social media
title_full A smart contract logic to reduce hoax propagation across social media
title_fullStr A smart contract logic to reduce hoax propagation across social media
title_full_unstemmed A smart contract logic to reduce hoax propagation across social media
title_short A smart contract logic to reduce hoax propagation across social media
title_sort smart contract logic to reduce hoax propagation across social media
topic Block
Dissemination
Hoax
Reduce
Social graph
Smart contract
url http://www.sciencedirect.com/science/article/pii/S1319157820304560
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