@inproceedings{kiritchenko-etal-2023-aporophobia,
title = "Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor",
author = "Kiritchenko, Svetlana and
Curto Rex, Georgina and
Nejadgholi, Isar and
Fraser, Kathleen C.",
editor = {Chung, Yi-ling and
R{{\textbackslash}"ottger}, Paul and
Nozza, Debora and
Talat, Zeerak and
Mostafazadeh Davani, Aida},
booktitle = "The 7th Workshop on Online Abuse and Harms (WOAH)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.woah-1.12",
doi = "10.18653/v1/2023.woah-1.12",
pages = "113--125",
abstract = "While many types of hate speech and online toxicity have been the focus of extensive research in NLP, toxic language stigmatizing poor people has been mostly disregarded. Yet, aporophobia, a social bias against the poor, is a common phenomenon online, which can be psychologically damaging as well as hindering poverty reduction policy measures. We demonstrate that aporophobic attitudes are indeed present in social media and argue that the existing NLP datasets and models are inadequate to effectively address this problem. Efforts toward designing specialized resources and novel socio-technical mechanisms for confronting aporophobia are needed.",
}
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<abstract>While many types of hate speech and online toxicity have been the focus of extensive research in NLP, toxic language stigmatizing poor people has been mostly disregarded. Yet, aporophobia, a social bias against the poor, is a common phenomenon online, which can be psychologically damaging as well as hindering poverty reduction policy measures. We demonstrate that aporophobic attitudes are indeed present in social media and argue that the existing NLP datasets and models are inadequate to effectively address this problem. Efforts toward designing specialized resources and novel socio-technical mechanisms for confronting aporophobia are needed.</abstract>
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%0 Conference Proceedings
%T Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor
%A Kiritchenko, Svetlana
%A Curto Rex, Georgina
%A Nejadgholi, Isar
%A Fraser, Kathleen C.
%Y Chung, Yi-ling
%Y R\textbackslash”ottger, Paul
%Y Nozza, Debora
%Y Talat, Zeerak
%Y Mostafazadeh Davani, Aida
%S The 7th Workshop on Online Abuse and Harms (WOAH)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F kiritchenko-etal-2023-aporophobia
%X While many types of hate speech and online toxicity have been the focus of extensive research in NLP, toxic language stigmatizing poor people has been mostly disregarded. Yet, aporophobia, a social bias against the poor, is a common phenomenon online, which can be psychologically damaging as well as hindering poverty reduction policy measures. We demonstrate that aporophobic attitudes are indeed present in social media and argue that the existing NLP datasets and models are inadequate to effectively address this problem. Efforts toward designing specialized resources and novel socio-technical mechanisms for confronting aporophobia are needed.
%R 10.18653/v1/2023.woah-1.12
%U https://aclanthology.org/2023.woah-1.12
%U https://doi.org/10.18653/v1/2023.woah-1.12
%P 113-125
Markdown (Informal)
[Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor](https://aclanthology.org/2023.woah-1.12) (Kiritchenko et al., WOAH 2023)
ACL