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Ferdinand Le Coz

Biographic Data

ID6329168
NAMEFerdinand Le Coz
GIVEN NAMESFerdinand
FAMILY NAMELe Coz
SIGNATURELE COZ F
AFFILIATIONSIRIT – University of Toulouse III, France
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX1
  • The digital party paradox

    Open Access•Julien Figeac, Marie Neihouser et al.•ARTICLE•European Journal of Communication•2025•Cited by: 1•References: 27

    This study examines how digital parties differ from traditional parties in their external political communication on Facebook during the French 2022 presidential election. Using a supervised machine learning method, we analysed posts ( N = 17,060) published on the Facebook pages ( N = 544) of French parties during the campaign. Our findings show that digital parties use Facebook intensively to mobilise their activist base, confirming their relian…

  • Data-Campaigning on Facebook

    Open Access•Julien Figeac, Marie Neihouser et al.•ARTICLE•Media and Communication•2024

    Research on data-driven campaigning has mostly focused on the strategies of central campaign teams. However, there is a lack of evidence explaining how parties and supporters use data-driven campaigning techniques to organise their social media campaigning. Do user engagement metrics influence the choice of campaign themes by encouraging political parties to concentrate their communication on issues that are most liked, commented on, and shared? …

  • The digital party paradox

    Open Access•Julien Figeac, Marie Neihouser et al.•ARTICLE•European Journal of Communication•2025•Cited by: 1•References: 27

    This study examines how digital parties differ from traditional parties in their external political communication on Facebook during the French 2022 presidential election. Using a supervised machine learning method, we analysed posts ( N = 17,060) published on the Facebook pages ( N = 544) of French parties during the campaign. Our findings show that digital parties use Facebook intensively to mobilise their activist base, confirming their relian…

  • Data-Campaigning on Facebook

    Open Access•Julien Figeac, Marie Neihouser et al.•ARTICLE•Media and Communication•2024

    Research on data-driven campaigning has mostly focused on the strategies of central campaign teams. However, there is a lack of evidence explaining how parties and supporters use data-driven campaigning techniques to organise their social media campaigning. Do user engagement metrics influence the choice of campaign themes by encouraging political parties to concentrate their communication on issues that are most liked, commented on, and shared? …

  • The digital party paradox

    Open Access•Julien Figeac, Marie Neihouser et al.•ARTICLE•European Journal of Communication•2025•Cited by: 1•References: 27

    This study examines how digital parties differ from traditional parties in their external political communication on Facebook during the French 2022 presidential election. Using a supervised machine learning method, we analysed posts ( N = 17,060) published on the Facebook pages ( N = 544) of French parties during the campaign. Our findings show that digital parties use Facebook intensively to mobilise their activist base, confirming their relian…

Computer Science (2 works) · Internet privacy (2 works) · Law (2 works) · Media studies (2 works) · Political science (2 works) · Politics (2 works) · Social Media and Politics (2 works) · Sociology (2 works) · Cultural Insights and Digital Impacts (1 work) · Law (1 work)

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