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Data · dataset · 2020

Manual Coding of Toxic and Insulting Tweets during the 2019 Federal Election in Canada

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/9vsrhu

Data collection: Using Twitter's Search API, we collected 363,706 public tweets (in English) mentioning #elxn43 and directed at 1,116 candidates running for office during the 2019 Federal election in Canada.

Description

Tweets were collected between September 29 and October 28, 2019. Manual coding: The data set contains a random sample of 3,637 tweets (1% sample) hand coded as either 'toxic' or 'insulting' by using three coders.

Only tweets that were flagged by all three coders were considered as either 'toxic' (TOXICITY_3CODERS_AGREE=1) or 'insulting' (INSULT_3CODERS_AGREE = 1).

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Computer and Information Science · Computer and Information Science · Social Sciences · Social Sciences
From keywords
Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science · Social Science
Provenance · 2 source records, 22 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP2/9VSRHU10 d agoJSON v1
Agri-environmental Research Data Dataversedoi:10.5683/SP2/9VSRHU9 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:chemistrymapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:economics-financemapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:engineeringmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:humanitiesmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:mathematics-statisticsmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:ocean-atmosphericmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
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publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
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updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0