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Rumour prevention in social networks with layer 2 blockchains
Social bots can cause social, political, and economical disruptions by spreading rumours. The state-of-the-art methods to prevent social bots from spreading rumours are centralised and such solutions may not be accepted by users who may not trust a centralised solution being biased. In this paper, w...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531116/ https://www.ncbi.nlm.nih.gov/pubmed/34745378 http://dx.doi.org/10.1007/s13278-021-00819-y |
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author | Thakur, Subhasis Breslin, John G. |
author_facet | Thakur, Subhasis Breslin, John G. |
author_sort | Thakur, Subhasis |
collection | PubMed |
description | Social bots can cause social, political, and economical disruptions by spreading rumours. The state-of-the-art methods to prevent social bots from spreading rumours are centralised and such solutions may not be accepted by users who may not trust a centralised solution being biased. In this paper, we developed a decentralised method to prevent social bots. In this solution, the users of a social network create a secure and privacy-preserving decentralised social network and may accept social media content if it is sent by its neighbour in the decentralised social network. As users only choose their trustworthy neighbours from the social network to be part of its neighbourhood in the decentralised social network, it prevents the social bots to influence a user to accept and share a rumour. We prove that the proposed solution can significantly reduce the number of users who are share rumour. |
format | Online Article Text |
id | pubmed-8531116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-85311162021-11-04 Rumour prevention in social networks with layer 2 blockchains Thakur, Subhasis Breslin, John G. Soc Netw Anal Min Original Article Social bots can cause social, political, and economical disruptions by spreading rumours. The state-of-the-art methods to prevent social bots from spreading rumours are centralised and such solutions may not be accepted by users who may not trust a centralised solution being biased. In this paper, we developed a decentralised method to prevent social bots. In this solution, the users of a social network create a secure and privacy-preserving decentralised social network and may accept social media content if it is sent by its neighbour in the decentralised social network. As users only choose their trustworthy neighbours from the social network to be part of its neighbourhood in the decentralised social network, it prevents the social bots to influence a user to accept and share a rumour. We prove that the proposed solution can significantly reduce the number of users who are share rumour. Springer Vienna 2021-10-21 2021 /pmc/articles/PMC8531116/ /pubmed/34745378 http://dx.doi.org/10.1007/s13278-021-00819-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Thakur, Subhasis Breslin, John G. Rumour prevention in social networks with layer 2 blockchains |
title | Rumour prevention in social networks with layer 2 blockchains |
title_full | Rumour prevention in social networks with layer 2 blockchains |
title_fullStr | Rumour prevention in social networks with layer 2 blockchains |
title_full_unstemmed | Rumour prevention in social networks with layer 2 blockchains |
title_short | Rumour prevention in social networks with layer 2 blockchains |
title_sort | rumour prevention in social networks with layer 2 blockchains |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531116/ https://www.ncbi.nlm.nih.gov/pubmed/34745378 http://dx.doi.org/10.1007/s13278-021-00819-y |
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