<?xml version="1.0" encoding="UTF-8"?>
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          xmlns="http://datacite.org/schema/kernel-4"
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    <identifier identifierType="DOI">10.34820/FK2/DQEVRR</identifier>
    <creators><creator><creatorName>Romadhony, Ade</creatorName><affiliation>(Telkom University)</affiliation></creator></creators>
    <titles>
        <title>Indonesian Online News Comment: Abusive Text Identification</title>
    </titles>
    <publisher>Root</publisher>
    <publicationYear>2022</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    <relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34820/FK2/DQEVRR/5PDWMC</relatedIdentifier></relatedIdentifiers>
    <descriptions>
        <description descriptionType="Abstract">This dataset consists of comments that are in some of the top news stories in 2019. comments obtained from the kompas, kaskus, and detik. The labeling process is carried out by 10 people and each comment was labeled by 3 annotators. Each comment is labeled with: 1: 'not abusive' 2: 'abusive but not offensive' 3: 'abusive and offensive'</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>Romadhony, Ade</contributorName><affiliation>(Telkom University)</affiliation></contributor></contributors>
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