@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://aclanthology.org/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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Multilingual Bot Accusations: How Different Linguistic Contexts Shape Perceptions of Social Bots
%A Fröhling, Leon
%A Li, Xiaofei
%A Assenmacher, Dennis
%Y Klamm, Christopher
%Y Lapesa, Gabriella
%Y Ponzetto, Simone Paolo
%Y Rehbein, Ines
%Y Sen, Indira
%S Proceedings of the 4th Workshop on Computational Linguistics for the Political and Social Sciences: Long and short papers
%D 2024
%8 September
%I Association for Computational Linguistics
%C Vienna, Austria
%F frohling-etal-2024-multilingual
%X 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.
%U https://aclanthology.org/2024.cpss-1.2
%P 14-32
Markdown (Informal)
[Multilingual Bot Accusations: How Different Linguistic Contexts Shape Perceptions of Social Bots](https://aclanthology.org/2024.cpss-1.2) (Fröhling et al., cpss-WS 2024)
ACL