Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection

Amanda Cercas Curry; Gavin Abercrombie; Zeerak Talat

doi:10.18653/v1/2024.woah-1.22

Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection

Amanda Cercas Curry, Gavin Abercrombie, Zeerak Talat

Correct Metadata for

Use this form to create a GitHub issue with structured data describing the correction. You will need a GitHub account. Once you create that issue, the correction will be reviewed by a staff member.

⚠️ Mobile Users: Submitting this form to create a new issue will only work with github.com, not the GitHub Mobile app.

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>. You may use <b>...</b> for bold, <i>...</i> for italic, and <url>...</url> for URLs.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the PDF.)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Abstract

Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands each annotator’s view as valid, which can be highly suitable for tasks that embed subjectivity, e.g., sentiment analysis. However, this construction may be inappropriate for tasks such as hate speech detection, as it affords equal validity to all positions on e.g., sexism or racism. We argue that the conflation of hate and offence can invalidate findings on hate speech, and call for future work to be situated in theory, disentangling hate from its orthogonal concept, offence.

Anthology ID:: 2024.woah-1.22
Volume:: Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)
Month:: June
Year:: 2024
Address:: Mexico City, Mexico
Editors:: Yi-Ling Chung, Zeerak Talat, Debora Nozza, Flor Miriam Plaza-del-Arco, Paul Röttger, Aida Mostafazadeh Davani, Agostina Calabrese
Venues:: WOAH | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 275–282
Language:
URL:: https://aclanthology.org/2024.woah-1.22/
DOI:: 10.18653/v1/2024.woah-1.22
Bibkey:
Cite (ACL):: Amanda Cercas Curry, Gavin Abercrombie, and Zeerak Talat. 2024. Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection. In Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), pages 275–282, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):: Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection (Cercas Curry et al., WOAH 2024)
Copy Citation:
PDF:: https://aclanthology.org/2024.woah-1.22.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{cercas-curry-etal-2024-subjective,
    title = "Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection",
    author = "Cercas Curry, Amanda  and
      Abercrombie, Gavin  and
      Talat, Zeerak",
    editor = {Chung, Yi-Ling  and
      Talat, Zeerak  and
      Nozza, Debora  and
      Plaza-del-Arco, Flor Miriam  and
      R{\"o}ttger, Paul  and
      Mostafazadeh Davani, Aida  and
      Calabrese, Agostina},
    booktitle = "Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.woah-1.22/",
    doi = "10.18653/v1/2024.woah-1.22",
    pages = "275--282",
    abstract = "Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands each annotator{'}s view as valid, which can be highly suitable for tasks that embed subjectivity, e.g., sentiment analysis. However, this construction may be inappropriate for tasks such as hate speech detection, as it affords equal validity to all positions on e.g., sexism or racism. We argue that the conflation of hate and offence can invalidate findings on hate speech, and call for future work to be situated in theory, disentangling hate from its orthogonal concept, offence."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="cercas-curry-etal-2024-subjective">
    <titleInfo>
        <title>Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Amanda</namePart>
        <namePart type="family">Cercas Curry</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Gavin</namePart>
        <namePart type="family">Abercrombie</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Zeerak</namePart>
        <namePart type="family">Talat</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-06</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Yi-Ling</namePart>
            <namePart type="family">Chung</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Zeerak</namePart>
            <namePart type="family">Talat</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Debora</namePart>
            <namePart type="family">Nozza</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Flor</namePart>
            <namePart type="given">Miriam</namePart>
            <namePart type="family">Plaza-del-Arco</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Paul</namePart>
            <namePart type="family">Röttger</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Aida</namePart>
            <namePart type="family">Mostafazadeh Davani</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Agostina</namePart>
            <namePart type="family">Calabrese</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Mexico City, Mexico</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands each annotator’s view as valid, which can be highly suitable for tasks that embed subjectivity, e.g., sentiment analysis. However, this construction may be inappropriate for tasks such as hate speech detection, as it affords equal validity to all positions on e.g., sexism or racism. We argue that the conflation of hate and offence can invalidate findings on hate speech, and call for future work to be situated in theory, disentangling hate from its orthogonal concept, offence.</abstract>
    <identifier type="citekey">cercas-curry-etal-2024-subjective</identifier>
    <identifier type="doi">10.18653/v1/2024.woah-1.22</identifier>
    <location>
        <url>https://aclanthology.org/2024.woah-1.22/</url>
    </location>
    <part>
        <date>2024-06</date>
        <extent unit="page">
            <start>275</start>
            <end>282</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection
%A Cercas Curry, Amanda
%A Abercrombie, Gavin
%A Talat, Zeerak
%Y Chung, Yi-Ling
%Y Talat, Zeerak
%Y Nozza, Debora
%Y Plaza-del-Arco, Flor Miriam
%Y Röttger, Paul
%Y Mostafazadeh Davani, Aida
%Y Calabrese, Agostina
%S Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F cercas-curry-etal-2024-subjective
%X Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands each annotator’s view as valid, which can be highly suitable for tasks that embed subjectivity, e.g., sentiment analysis. However, this construction may be inappropriate for tasks such as hate speech detection, as it affords equal validity to all positions on e.g., sexism or racism. We argue that the conflation of hate and offence can invalidate findings on hate speech, and call for future work to be situated in theory, disentangling hate from its orthogonal concept, offence.
%R 10.18653/v1/2024.woah-1.22
%U https://aclanthology.org/2024.woah-1.22/
%U https://doi.org/10.18653/v1/2024.woah-1.22
%P 275-282

Download as File

Markdown (Informal)

[Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection](https://aclanthology.org/2024.woah-1.22/) (Cercas Curry et al., WOAH 2024)

Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection (Cercas Curry et al., WOAH 2024)

ACL

Amanda Cercas Curry, Gavin Abercrombie, and Zeerak Talat. 2024. Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection. In Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), pages 275–282, Mexico City, Mexico. Association for Computational Linguistics.