A profile on Twitter Shadowban: an AI ethics position paper on free-speech

dc.contributor.authorMarcondes, Francisco S.por
dc.contributor.authorGala, Adelinopor
dc.contributor.authorDurães, Dalilapor
dc.contributor.authorMoreira, Fernandopor
dc.contributor.authorAlmeida, J. J.por
dc.contributor.authorBaldi, Vaniapor
dc.contributor.authorNovais, Paulopor
dc.date.accessioned2022-09-07T16:05:12Z
dc.date.embargo10000-01-01
dc.date.issued2021
dc.date.updated2022-08-30T19:27:00Z
dc.description.abstractConcerns 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.por
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.por
dc.distributioninternationalpor
dc.identifier.citationMarcondes, 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_39por
dc.identifier.doi10.1007/978-3-030-91608-4_39por
dc.identifier.eisbn978-3-030-91608-4
dc.identifier.isbn978-3-030-91607-7
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/1822/79445
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer, Cham
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PTpor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-91608-4_39por
dc.rightsrestrictedAccesspor
dc.subjectFree-speechpor
dc.subjectSmart-contractpor
dc.subjectTwitter shadowbanpor
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.titleA profile on Twitter Shadowban: an AI ethics position paper on free-speechpor
dc.typeconferencePaperpor
dspace.entity.typePublicationen
oaire.citationEndPage405por
oaire.citationStartPage397por
oaire.citationVolume13113 LNCSpor
oaire.versionAMpor
sdum.export.identifier12337
sdum.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por

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