Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/79445

TítuloA profile on Twitter Shadowban: an AI ethics position paper on free-speech
Autor(es)Marcondes, Francisco S.
Gala, Adelino
Durães, Dalila
Moreira, Fernando
Almeida, J. J.
Baldi, Vania
Novais, Paulo
Palavras-chaveFree-speech
Smart-contract
Twitter shadowban
Data2021
EditoraSpringer, Cham
RevistaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
CitaçãoMarcondes, F.S. et al. (2021). A Profile on Twitter Shadowban: An AI Ethics Position Paper on Free-Speech. In: , et al. Intelligent Data Engineering and Automated Learning – IDEAL 2021. IDEAL 2021. Lecture Notes in Computer Science(), vol 13113. Springer, Cham. https://doi.org/10.1007/978-3-030-91608-4_39
Resumo(s)Concerns have been expressed lately about content verification algorithms on social media platforms, resulting in data being presented to users or omitted from them. Twitter is one of those platforms that use this strategy, giving censorship strategies for specific content. The shadowban or practice of limiting content distribution without user acknowledgement is a current practice in online social networks, especially on Twitter. So, this paper is an AI Ethics position paper willing to expand the reflection about the impacts of programming artefacts on individual liberties in enterprise’s Online social networks (OSN) to the computer science public. The conclusion to be drawn is that the limits of speech are to be imposed by the state after a properly democratic process took place [4]. The concern then turns into an international relations issue as it would be a threat for national sovereignty that one state, even inadvertently, regulates the actions of a communication enterprise on foreign states. Finally, the use of smart contracts is suggested as an alternative to be used by the base state for enforcing regulations on foreign OSNs.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/79445
ISBN978-3-030-91607-7
e-ISBN978-3-030-91608-4
DOI10.1007/978-3-030-91608-4_39
ISSN0302-9743
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-030-91608-4_39
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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