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Tessa Verhoef

Datos Biográficos

ID1720113
NOMBRETessa Verhoef
NOMBRESTessa
APELLIDOVerhoef
FIRMAVERHOEF T
AFILIACIONESLeiden University
ORCID0000-0002-1219-3730
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS9
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2014
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H1
  • User perceptions of misgendering algorithms

    Open Access•Eduard Fosch‐villaronga, Antoni Mut-Piña et al.•ARTICLE•Big Data & Society•2025

    Gender classification systems (GCSs) on social media platforms, such as X (formerly Twitter), infer users’ gender for targeted advertising and personalization. However, these systems rely on binary classifications that fail to capture gender diversity, often leading to misclassification (i.e. misgendering). This study is a comprehensive analysis of algorithmic misgendering and its impact on user perceptions through a large-scale online global sur…

  • Misgendering algorithms

    Open Access•Eduard Fosch‐villaronga, Antoni Mut-Piña et al.•ARTICLE•Technology in Society•2025•Referencias: 2

    Social media platforms rely on Gender Classification Systems (GCSs) to infer users’ gender from behavioral and demographic data, often without explicit consent. These systems optimize targeted advertising and user engagement but introduce significant ethical and regulatory concerns related to algorithmic bias, privacy, data governance, and accountability. Our study presents a large-scale survey ( N = 1642 ) analyzing the accuracy and implications…

  • Brain responses to a lab-evolved artificial language with space-time metaphors

    Open Access•Tessa Verhoef, Tyler Marghetis et al.•ARTICLE•Cognition•2024

    What is the connection between the cultural evolution of a language and the rapid processing response to that language in the brains of individual learners? In an iterated communication study that was conducted previously, participants were asked to communicate temporal concepts such as "tomorrow," "day after," "year," and "past" using vertical movements recorded on a touch screen. Over time, participants developed simple artificial 'languages' t…

  • Emergence of combinatorial structure and economy through iterated learning with continuous acoustic signals

    Open Access•Tessa Verhoef, Simon Kirby et al.•ARTICLE•Journal of Phonetics•2014•Citada por: 9•Referencias: 47

  • Emergence of combinatorial structure and economy through iterated learning with continuous acoustic signals

    Open Access•Tessa Verhoef, Simon Kirby et al.•ARTICLE•Journal of Phonetics•2014•Citada por: 9•Referencias: 47

  • Emergence of combinatorial structure and economy through iterated learning with continuous acoustic signals

    Open Access•Tessa Verhoef, Simon Kirby et al.•ARTICLE•Journal of Phonetics•2014•Citada por: 9•Referencias: 47

  • Brain responses to a lab-evolved artificial language with space-time metaphors

    Open Access•Tessa Verhoef, Tyler Marghetis et al.•ARTICLE•Cognition•2024

    What is the connection between the cultural evolution of a language and the rapid processing response to that language in the brains of individual learners? In an iterated communication study that was conducted previously, participants were asked to communicate temporal concepts such as "tomorrow," "day after," "year," and "past" using vertical movements recorded on a touch screen. Over time, participants developed simple artificial 'languages' t…

  • User perceptions of misgendering algorithms

    Open Access•Eduard Fosch‐villaronga, Antoni Mut-Piña et al.•ARTICLE•Big Data & Society•2025

    Gender classification systems (GCSs) on social media platforms, such as X (formerly Twitter), infer users’ gender for targeted advertising and personalization. However, these systems rely on binary classifications that fail to capture gender diversity, often leading to misclassification (i.e. misgendering). This study is a comprehensive analysis of algorithmic misgendering and its impact on user perceptions through a large-scale online global sur…

  • Misgendering algorithms

    Open Access•Eduard Fosch‐villaronga, Antoni Mut-Piña et al.•ARTICLE•Technology in Society•2025•Referencias: 2

    Social media platforms rely on Gender Classification Systems (GCSs) to infer users’ gender from behavioral and demographic data, often without explicit consent. These systems optimize targeted advertising and user engagement but introduce significant ethical and regulatory concerns related to algorithmic bias, privacy, data governance, and accountability. Our study presents a large-scale survey ( N = 1642 ) analyzing the accuracy and implications…

Artificial Intelligence (2 obras) · Artificial Intelligence (2 obras) · Computer Science (2 obras) · Corporate governance (2 obras) · Inference (2 obras) · Psychology (2 obras) · Social media (2 obras) · Action Observation and Synchronization (1 obras) · AI in Service Interactions (1 obras) · Animal Vocal Communication and Behavior (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae