Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/89845
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Barbosa, Maria Araújo | por |
dc.contributor.author | Marcondes, Francisco Supino | por |
dc.contributor.author | Novais, Paulo | por |
dc.date.accessioned | 2024-03-22T11:22:00Z | - |
dc.date.available | 2024-03-22T11:22:00Z | - |
dc.date.issued | 2023-07 | - |
dc.identifier.isbn | 978-3-031-38332-8 | - |
dc.identifier.issn | 2367-3370 | - |
dc.identifier.uri | https://hdl.handle.net/1822/89845 | - |
dc.description.abstract | Despite the success of fact-checking agencies in presenting timely fact-checking reports on the main topics, the same success is not achieved for the dissemination of these reports. This work presents the definition of a set of heuristics applicable to messages (posts) in the microblogging environment, with the aim of increasing their engagement and, consequently, their reach. The proposed heuristics focus on two main tasks: summarisation, emotion-personality reinforcement. The results were evaluated through an experiment conducted with twenty participants, comparing the engagement of actual and generated posts. From the results of the experiment, it can be concluded that the strategy used by the generator is at least better than the one used by the fact-checking journal Snopes in its Twitter posts. | por |
dc.description.sponsorship | FCT - Fundação para a Ciência e a Tecnologia(UIDB/00319/2020) | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | por |
dc.rights | openAccess | por |
dc.subject | Emotions | por |
dc.subject | Engagement | por |
dc.subject | Fact-checking | por |
dc.subject | Fake-news | por |
dc.subject | Personality | por |
dc.subject | Post generator | por |
dc.subject | Social networks | por |
dc.subject | por | |
dc.title | Cognitive reinforcement for enhanced post construction aiming fact-check spread | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-031-38333-5_21 | por |
oaire.citationStartPage | 203 | por |
oaire.citationEndPage | 211 | por |
oaire.citationVolume | 740 LNNS | por |
dc.date.updated | 2024-03-14T10:08:26Z | - |
dc.identifier.eissn | 2367-3389 | - |
dc.identifier.doi | 10.1007/978-3-031-38333-5_21 | por |
dc.identifier.eisbn | 978-3-031-38333-5 | - |
sdum.export.identifier | 13452 | - |
sdum.journal | Lecture Notes in Networks and Systems | por |
sdum.conferencePublication | International Symposium on Distributed Computing and Artificial Intelligence - DCAI 2023 | por |
sdum.bookTitle | Distributed Computing and Artificial Intelligence, 20th International Conference | por |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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CognitiveReinforcement(DCAI2023).pdf | 1,48 MB | Adobe PDF | Ver/Abrir |