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Sean Palicki

Biographic Data

ID159784
NAMESean Palicki
GIVEN NAMESSean
FAMILY NAMEPalicki
SIGNATUREPALICKI S
AFFILIATIONSTechnical University of Munich
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Newer, Larger, Better? A Critique of the Unreflective LLM Adoption in Communication Research

    Open Access•Paul Balluff, Justin Chun-Ting Ho et al.•ARTICLE•Political Communication•2026•References: 4

    The growing adoption of large language models (LLMs) in political communication research has prompted excitement but also concern. In this opinion piece, we offer an informed and critical overview of common LLM use cases in the field, including text analysis, synthetic data generation, and experiments. We argue that while these tools can be appealing, they often introduce serious epistemic, environ-mental, and infrastructural trade-offs that are …

  • Intersectional solidarity, empathy, or pity? Exploring representations of migrant women in German and British newspapers during the pandemic

    Open Access•Alice Beazer, Sean Palicki et al.•ARTICLE•Ethnic and Racial Studies•2025•Cited by: 1•References: 47

    This research examines migrant women's representation in British and German news during the COVID-19 pandemic, paying particular attention to expressions of solidarity. While previous research has focused on the representation of women and migrants, studies have largely treated these groups as distinct entities. Combining topic modelling with informed grounded theory, this research compares the representation of migrant women, including women fro…

  • Intersectional solidarity, empathy, or pity? Exploring representations of migrant women in German and British newspapers during the pandemic

    Open Access•Alice Beazer, Sean Palicki et al.•ARTICLE•Ethnic and Racial Studies•2025•Cited by: 1•References: 47

    This research examines migrant women's representation in British and German news during the COVID-19 pandemic, paying particular attention to expressions of solidarity. While previous research has focused on the representation of women and migrants, studies have largely treated these groups as distinct entities. Combining topic modelling with informed grounded theory, this research compares the representation of migrant women, including women fro…

  • Intersectional solidarity, empathy, or pity? Exploring representations of migrant women in German and British newspapers during the pandemic

    Open Access•Alice Beazer, Sean Palicki et al.•ARTICLE•Ethnic and Racial Studies•2025•Cited by: 1•References: 47

    This research examines migrant women's representation in British and German news during the COVID-19 pandemic, paying particular attention to expressions of solidarity. While previous research has focused on the representation of women and migrants, studies have largely treated these groups as distinct entities. Combining topic modelling with informed grounded theory, this research compares the representation of migrant women, including women fro…

  • Newer, Larger, Better? A Critique of the Unreflective LLM Adoption in Communication Research

    Open Access•Paul Balluff, Justin Chun-Ting Ho et al.•ARTICLE•Political Communication•2026•References: 4

    The growing adoption of large language models (LLMs) in political communication research has prompted excitement but also concern. In this opinion piece, we offer an informed and critical overview of common LLM use cases in the field, including text analysis, synthetic data generation, and experiments. We argue that while these tools can be appealing, they often introduce serious epistemic, environ-mental, and infrastructural trade-offs that are …

Agency (philosophy (1 work) · Communication in Education and Healthcare (1 work) · Communication theory (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Cultural and Communication Design Research (1 work) · Deliberation (1 work) · Discourse Analysis in Language Studies (1 work) · Empathy (1 work) · Gender Studies (1 work) · Gender Studies (1 work)

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