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Valentina Pansanella

Dados Biográficos

ID4982202
NOMEValentina Pansanella
PRENOMESValentina
SOBRENOMEPansanella
ASSINATURAPANSANELLA V
AFILIAÇÕESScuola Normale Superiore
ORCID0000-0001-8106-7677
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • YSocial

    Open Access•Giulia Rossetti, Milou Stella et al.•ARTICLE•Big Data & Society•2026

    This paper introduces YSocial, a new-generation virtual twin designed to replicate an online social media platform. Digital and virtual twins are virtual replicas of physical systems that allow for advanced analyses, control, experimentation, and scenario simulations. In the case of social media, a virtual twin such as YSocial provides a powerful tool for researchers to simulate and understand complex online interactions. YSocial leverages state-…

  • Navigating the Lobbying Landscape

    Open Access•Daniele Giachini, Leonardo Ciambezi et al.•ARTICLE•IEEE Transactions on Computational…•2026

    While lobbying has been demonstrated to have an important effect on public opinion and policy making, existing models of opinion formation do not specifically include its effect. In this work, we introduce a new model of lobbying-driven opinion influence within opinion dynamics, where lobbyists can implement complex strategies and are characterized by a finite budget. Individuals update their opinions through a learning process resembling Bayes-r…

  • Modeling algorithmic bias

    Open Access•Valentina Pansanella, Giulia Rossetti et al.•ARTICLE•Applied Network Science•2022•Citada por: 1•Referências: 21

    Every day, people inform themselves and create their opinions on social networks. Although these platforms have promoted the access and dissemination of information, they may expose readers to manipulative, biased, and disinformative content—co-causes of polarization/radicalization. Moreover, recommendation algorithms, intended initially to enhance platform usage, are likely to augment such phenomena, generating the so-called Algorithmic Bias . I…

  • Modeling algorithmic bias

    Open Access•Valentina Pansanella, Giulia Rossetti et al.•ARTICLE•Applied Network Science•2022•Citada por: 1•Referências: 21

    Every day, people inform themselves and create their opinions on social networks. Although these platforms have promoted the access and dissemination of information, they may expose readers to manipulative, biased, and disinformative content—co-causes of polarization/radicalization. Moreover, recommendation algorithms, intended initially to enhance platform usage, are likely to augment such phenomena, generating the so-called Algorithmic Bias . I…

  • Modeling algorithmic bias

    Open Access•Valentina Pansanella, Giulia Rossetti et al.•ARTICLE•Applied Network Science•2022•Citada por: 1•Referências: 21

    Every day, people inform themselves and create their opinions on social networks. Although these platforms have promoted the access and dissemination of information, they may expose readers to manipulative, biased, and disinformative content—co-causes of polarization/radicalization. Moreover, recommendation algorithms, intended initially to enhance platform usage, are likely to augment such phenomena, generating the so-called Algorithmic Bias . I…

  • YSocial

    Open Access•Giulia Rossetti, Milou Stella et al.•ARTICLE•Big Data & Society•2026

    This paper introduces YSocial, a new-generation virtual twin designed to replicate an online social media platform. Digital and virtual twins are virtual replicas of physical systems that allow for advanced analyses, control, experimentation, and scenario simulations. In the case of social media, a virtual twin such as YSocial provides a powerful tool for researchers to simulate and understand complex online interactions. YSocial leverages state-…

  • Navigating the Lobbying Landscape

    Open Access•Daniele Giachini, Leonardo Ciambezi et al.•ARTICLE•IEEE Transactions on Computational…•2026

    While lobbying has been demonstrated to have an important effect on public opinion and policy making, existing models of opinion formation do not specifically include its effect. In this work, we introduce a new model of lobbying-driven opinion influence within opinion dynamics, where lobbyists can implement complex strategies and are characterized by a finite budget. Individuals update their opinions through a learning process resembling Bayes-r…

Complex Network Analysis Techniques (3 obras) · Misinformation and Its Impacts (2 obras) · Opinion Dynamics and Social Influence (2 obras) · Social media (2 obras) · Advanced Graph Neural Networks (1 obras) · Cheap talk (1 obras) · Computational sociology (1 obras) · Computer network (1 obras) · Computer Science (1 obras) · Data science (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae