@inproceedings{frohling-etal-2024-multilingual,
    title = "Multilingual Bot Accusations: How Different Linguistic Contexts Shape Perceptions of Social Bots",
    author = {Fr{\"o}hling, Leon  and
      Li, Xiaofei  and
      Assenmacher, Dennis},
    editor = "Klamm, Christopher  and
      Lapesa, Gabriella  and
      Ponzetto, Simone Paolo  and
      Rehbein, Ines  and
      Sen, Indira",
    booktitle = "Proceedings of the 4th Workshop on Computational Linguistics for the Political and Social Sciences: Long and short papers",
    month = sep,
    year = "2024",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.cpss-1.2/",
    pages = "14--32",
    abstract = "Recent research indicates that the online use of the term ``bot'' has evolved over time. In the past, people used the term to accuse others of displaying automated behavior. However, it has gradually transformed into a linguistic tool to dehumanize the conversation partner, particularly on polarizing topics. Although this trend has been observed in English-speaking contexts, it is still unclear whether it holds true in other socio-linguistic environments. In this work we extend existing work on bot accusations and explore the phenomenon in a multilingual setting. We identify three distinct accusation patterns that characterize the different languages."
}