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Francesco Bonchi

Biographic Data

ID1902839
NAMEFrancesco Bonchi
GIVEN NAMESFrancesco
FAMILY NAMEBonchi
SIGNATUREBONCHI F
AFFILIATIONSInstitute for Scientific Interchange
ORCID0000-0001-9464-8315
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS9
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2023
H-INDEX2
  • On the Relation between Opinion Change and Information Consumption on Reddit

    Open Access•Flavio Petruzzellis, Francesco Bonchi et al.•ARTICLE•Proceedings of the International…•2023

    While much attention has been devoted to the causes of opinion change, little is known about its consequences. Our study moves a first step in this direction by looking at Reddit, and in particular to the subreddit r/ChangeMyView, a community dedicated to debating one’s own opinions on a wide array of topics. We analyze changes in online information consumption behavior that arise after a self-reported opinion change, by looking at the participat…

  • Exposure Inequality in People Recommender Systems

    Open Access•Francesco Fabbri, Maria Luisa Croci et al.•ARTICLE•Proceedings of the International…•2022•Cited by: 1•References: 2

    People recommender systems may affect the exposure that users receive in social networking platforms, influencing attention dynamics and potentially strengthening pre-existing inequalities that disproportionately affect certain groups. In this paper we introduce a model to simulate the feedback loop created by multiple rounds of interactions between users and a link recommender in a social network. This allows us to study the long-term consequenc…

  • The Effect of People Recommenders on Echo Chambers and Polarization

    Open Access•Federico Cinus, Marco Minici et al.•ARTICLE•Proceedings of the International…•2022•Cited by: 4•References: 5

    The effects of online social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our societies. Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting the information and the opinions users are expose…

  • Give more data, awareness and control to individual citizens, and they will help Covid-19 containment

    Open Access•Mirco Nanni, Gennady Andrienko et al.•ARTICLE•Ethics and Information Technology•2021

    The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…

  • Individual privacy in social influence networks

    Open Access•Sara Hajian, Tamir Tassa et al.•ARTICLE•Social Network Analysis and Mining•2016

  • On minimizing budget and time in influence propagation over social networks

    Open Access•Amit Goyal, Francesco Bonchi et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 4•References: 29

  • The Effect of People Recommenders on Echo Chambers and Polarization

    Open Access•Federico Cinus, Marco Minici et al.•ARTICLE•Proceedings of the International…•2022•Cited by: 4•References: 5

    The effects of online social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our societies. Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting the information and the opinions users are expose…

  • On minimizing budget and time in influence propagation over social networks

    Open Access•Amit Goyal, Francesco Bonchi et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 4•References: 29

  • Exposure Inequality in People Recommender Systems

    Open Access•Francesco Fabbri, Maria Luisa Croci et al.•ARTICLE•Proceedings of the International…•2022•Cited by: 1•References: 2

    People recommender systems may affect the exposure that users receive in social networking platforms, influencing attention dynamics and potentially strengthening pre-existing inequalities that disproportionately affect certain groups. In this paper we introduce a model to simulate the feedback loop created by multiple rounds of interactions between users and a link recommender in a social network. This allows us to study the long-term consequenc…

  • On minimizing budget and time in influence propagation over social networks

    Open Access•Amit Goyal, Francesco Bonchi et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 4•References: 29

  • Individual privacy in social influence networks

    Open Access•Sara Hajian, Tamir Tassa et al.•ARTICLE•Social Network Analysis and Mining•2016

  • Give more data, awareness and control to individual citizens, and they will help Covid-19 containment

    Open Access•Mirco Nanni, Gennady Andrienko et al.•ARTICLE•Ethics and Information Technology•2021

    The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…

  • Exposure Inequality in People Recommender Systems

    Open Access•Francesco Fabbri, Maria Luisa Croci et al.•ARTICLE•Proceedings of the International…•2022•Cited by: 1•References: 2

    People recommender systems may affect the exposure that users receive in social networking platforms, influencing attention dynamics and potentially strengthening pre-existing inequalities that disproportionately affect certain groups. In this paper we introduce a model to simulate the feedback loop created by multiple rounds of interactions between users and a link recommender in a social network. This allows us to study the long-term consequenc…

  • The Effect of People Recommenders on Echo Chambers and Polarization

    Open Access•Federico Cinus, Marco Minici et al.•ARTICLE•Proceedings of the International…•2022•Cited by: 4•References: 5

    The effects of online social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our societies. Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting the information and the opinions users are expose…

  • On the Relation between Opinion Change and Information Consumption on Reddit

    Open Access•Flavio Petruzzellis, Francesco Bonchi et al.•ARTICLE•Proceedings of the International…•2023

    While much attention has been devoted to the causes of opinion change, little is known about its consequences. Our study moves a first step in this direction by looking at Reddit, and in particular to the subreddit r/ChangeMyView, a community dedicated to debating one’s own opinions on a wide array of topics. We analyze changes in online information consumption behavior that arise after a self-reported opinion change, by looking at the participat…

Computer Science (6 works) · Opinion Dynamics and Social Influence (5 works) · Artificial Intelligence (4 works) · World Wide Web (4 works) · Complex Network Analysis Techniques (3 works) · Psychology (3 works) · Social media (3 works) · Social Media and Politics (3 works) · Social Psychology (3 works) · Computer security (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae