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Laura Bronner

Dados Biográficos

ID3717464
NOMELaura Bronner
PRENOMESLaura
SOBRENOMEBronner
ASSINATURABRONNER L
AFILIAÇÕESLondon School of Economics and Political Science
ORCID0000-0002-8387-2757
VERIFICADOSim
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES9
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2014
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • Improving hate speech detection with large language models

    Open Access•Natalia Umansky, Mael Kubli et al.•ARTICLE•European Journal of Political…•2026•Referências: 3

    Efforts to curb online hate speech depend on our ability to reliably detect it at scale. Previous studies have highlighted the strong zero-shot classification performance of large language models (LLMs), offering a potential tool to efficiently identify harmful content. Yet for complex and ambivalent tasks like hate speech detection, pre-trained LLMs can be insufficient and carry systemic biases. Domain-specific models fine-tuned for the given ta…

  • The distribution of hate speech and its implications for content moderation

    Open Access•Gloria Gennaro, Laura Bronner et al.•ARTICLE•Political Science Research and…•2025•Referências: 14

    Hate speech is widely seen as a significant obstacle to constructive online discourse, but the most effective strategies to mitigate its effects remain unclear. We claim that understanding its distribution across users is key to developing and evaluating effective content moderation strategies. We address this missing link by first examining the distribution of hate speech in five original datasets that collect user-generated posts across multipl…

  • Revisiting eligibility effects of voting at 16

    Open Access•Elisabeth Graf, Julia Partheymüller et al.•ARTICLE•Electoral Studies•2024•Citada por: 1•Referências: 20

  • Voting at 16

    Open Access•Laura Bronner, David Ifkovits•ARTICLE•Electoral Studies•2019•Citada por: 7•Referências: 26

  • Property and Power

    Open Access•Laura Bronner•ARTICLE•Legislative Studies Quarterly•2014•Citada por: 1•Referências: 42

    Influential theories of democratization emphasize elites' fear of the redistributive consequences of democratic reform as an important limit on democratization. They also argue that landowners are more likely than capital owners to fear redistribution, as their assets are less mobile and thus more vulnerable to expropriation. To test these claims on the micro level, this article uses the 1867 U.K. Reform Act, which doubled the enfranchised popula…

  • Voting at 16

    Open Access•Laura Bronner, David Ifkovits•ARTICLE•Electoral Studies•2019•Citada por: 7•Referências: 26

  • Revisiting eligibility effects of voting at 16

    Open Access•Elisabeth Graf, Julia Partheymüller et al.•ARTICLE•Electoral Studies•2024•Citada por: 1•Referências: 20

  • Property and Power

    Open Access•Laura Bronner•ARTICLE•Legislative Studies Quarterly•2014•Citada por: 1•Referências: 42

    Influential theories of democratization emphasize elites' fear of the redistributive consequences of democratic reform as an important limit on democratization. They also argue that landowners are more likely than capital owners to fear redistribution, as their assets are less mobile and thus more vulnerable to expropriation. To test these claims on the micro level, this article uses the 1867 U.K. Reform Act, which doubled the enfranchised popula…

  • Property and Power

    Open Access•Laura Bronner•ARTICLE•Legislative Studies Quarterly•2014•Citada por: 1•Referências: 42

    Influential theories of democratization emphasize elites' fear of the redistributive consequences of democratic reform as an important limit on democratization. They also argue that landowners are more likely than capital owners to fear redistribution, as their assets are less mobile and thus more vulnerable to expropriation. To test these claims on the micro level, this article uses the 1867 U.K. Reform Act, which doubled the enfranchised popula…

  • Voting at 16

    Open Access•Laura Bronner, David Ifkovits•ARTICLE•Electoral Studies•2019•Citada por: 7•Referências: 26

  • Revisiting eligibility effects of voting at 16

    Open Access•Elisabeth Graf, Julia Partheymüller et al.•ARTICLE•Electoral Studies•2024•Citada por: 1•Referências: 20

  • The distribution of hate speech and its implications for content moderation

    Open Access•Gloria Gennaro, Laura Bronner et al.•ARTICLE•Political Science Research and…•2025•Referências: 14

    Hate speech is widely seen as a significant obstacle to constructive online discourse, but the most effective strategies to mitigate its effects remain unclear. We claim that understanding its distribution across users is key to developing and evaluating effective content moderation strategies. We address this missing link by first examining the distribution of hate speech in five original datasets that collect user-generated posts across multipl…

  • Improving hate speech detection with large language models

    Open Access•Natalia Umansky, Mael Kubli et al.•ARTICLE•European Journal of Political…•2026•Referências: 3

    Efforts to curb online hate speech depend on our ability to reliably detect it at scale. Previous studies have highlighted the strong zero-shot classification performance of large language models (LLMs), offering a potential tool to efficiently identify harmful content. Yet for complex and ambivalent tasks like hate speech detection, pre-trained LLMs can be insufficient and carry systemic biases. Domain-specific models fine-tuned for the given ta…

Economics (3 obras) · Law (3 obras) · Law (3 obras) · Political science (3 obras) · Politics (3 obras) · Electoral Systems and Political Participation (2 obras) · Hate Speech and Cyberbullying Detection (2 obras) · Political economy (2 obras) · Regression discontinuity design (2 obras) · Social Policy and Reform Studies (2 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