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Clemens Stachl

Datos Biográficos

ID4236576
NOMBREClemens Stachl
NOMBRESClemens
APELLIDOStachl
FIRMASTACHL C
AFILIACIONESUniversity of St.Gallen
ORCID0000-0002-4498-3067
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS9
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H1
  • A workflow for human-centered machine-assisted hypothesis generation

    Alejandro Hermida Carrillo, Clemens Stachl et al.•ARTICLE•American Psychologist•2024

    Large language models (LLMs) have the potential to revolutionize a key aspect of the scientific process-hypothesis generation. Banker et al. (2024) investigate how GPT-3 and GPT-4 can be used to generate novel hypotheses useful for social psychologists. Although timely, we argue that their approach overlooks the limitations of both humans and LLMs and does not incorporate crucial information on the inquiring researcher's inner world (e.g., values…

  • Age and gender in language, emoji, and emoticon usage in instant messages

    Open Access•Timo K Koch, Peter Romero et al.•ARTICLE•Computers in Human Behavior•2022

    Text is one of the most prevalent types of digital data that people create as they go about their lives. Digital footprints of people's language usage in social media posts were found to allow for inferences of their age and gender. However, the even more prevalent and potentially more sensitive text from instant messaging services has remained largely uninvestigated. We analyze language variations in instant messages with regard to individual di…

  • Sensing sociability

    Open Access•Gabriella M Harari, Sandrine R Müller et al.•ARTICLE•Journal of Personality and Social…•2020•Citada por: 9

    Sociability as a disposition describes a tendency to affiliate with others (vs. be alone). Yet, we know relatively little about how much social behavior people engage in during a typical day. One challenge to documenting social behavior tendencies is the broad number of channels over which socializing can occur, both in-person and through digital media. To examine individual differences in everyday social behavior patterns, here we used smartphon…

  • Sensing sociability

    Open Access•Gabriella M Harari, Sandrine R Müller et al.•ARTICLE•Journal of Personality and Social…•2020•Citada por: 9

    Sociability as a disposition describes a tendency to affiliate with others (vs. be alone). Yet, we know relatively little about how much social behavior people engage in during a typical day. One challenge to documenting social behavior tendencies is the broad number of channels over which socializing can occur, both in-person and through digital media. To examine individual differences in everyday social behavior patterns, here we used smartphon…

  • Sensing sociability

    Open Access•Gabriella M Harari, Sandrine R Müller et al.•ARTICLE•Journal of Personality and Social…•2020•Citada por: 9

    Sociability as a disposition describes a tendency to affiliate with others (vs. be alone). Yet, we know relatively little about how much social behavior people engage in during a typical day. One challenge to documenting social behavior tendencies is the broad number of channels over which socializing can occur, both in-person and through digital media. To examine individual differences in everyday social behavior patterns, here we used smartphon…

  • Age and gender in language, emoji, and emoticon usage in instant messages

    Open Access•Timo K Koch, Peter Romero et al.•ARTICLE•Computers in Human Behavior•2022

    Text is one of the most prevalent types of digital data that people create as they go about their lives. Digital footprints of people's language usage in social media posts were found to allow for inferences of their age and gender. However, the even more prevalent and potentially more sensitive text from instant messaging services has remained largely uninvestigated. We analyze language variations in instant messages with regard to individual di…

  • A workflow for human-centered machine-assisted hypothesis generation

    Alejandro Hermida Carrillo, Clemens Stachl et al.•ARTICLE•American Psychologist•2024

    Large language models (LLMs) have the potential to revolutionize a key aspect of the scientific process-hypothesis generation. Banker et al. (2024) investigate how GPT-3 and GPT-4 can be used to generate novel hypotheses useful for social psychologists. Although timely, we argue that their approach overlooks the limitations of both humans and LLMs and does not incorporate crucial information on the inquiring researcher's inner world (e.g., values…

Psychology (3 obras) · Computer Science (2 obras) · PsycINFO (2 obras) · Social media (2 obras) · Authorship Attribution and Profiling (1 obras) · Behavioral Health and Interventions (1 obras) · Communication (1 obras) · Computational and Text Analysis Methods (1 obras) · Computer security (1 obras) · Conversation (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