Dataset and baseline model of moderated content FRENK-MMC-RTV 1.0

Name: Dataset and baseline model of moderated content FRENK-MMC-RTV 1.0
License: https://creativecommons.org/licenses/by-sa/4.0/

Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja

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dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Erjavec, Tomaž
dc.contributor.author	Fišer, Darja
dc.date.accessioned	2018-10-27T13:50:26Z
dc.date.available	2018-10-27T13:50:26Z
dc.date.issued	2018-10-27
dc.identifier.uri	http://hdl.handle.net/11356/1201
dc.description	FRENK-MMC-RTV is a dataset of moderated newspaper comments from the website rtvslo.si with metadata on the time of publishing, user identifier, thread identifier and whether the comment was deleted by the moderators or not. The full text of each comment is encrypted via a character-replacement method so that the comments are not readable by humans. Basic punctuation is not encrypted in order to enable tokenization. The main use of this dataset are experiments on automating comment moderation. For real-world usage, a fastText classification model trained on non-encrypted data is made available as well.
dc.language.iso	slv
dc.publisher	Jožef Stefan Institute
dc.relation.isreferencedby	https://drive.google.com/file/d/13m7PFn49_tnEfFjcbqk8cugG4ZTy2A5I/view
dc.rights	Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label	PUB
dc.source.uri	https://nl.ijs.si/frenk/
dc.subject	computer-mediated communication
dc.subject	news comments
dc.subject	content moderation
dc.title	Dataset and baseline model of moderated content FRENK-MMC-RTV 1.0
dc.type	corpus
metashare.ResourceInfo#ContentInfo.mediaType	text
has.files	yes
branding	CLARIN.SI data & tools
contact.person	Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute
sponsor	ARRS (Slovenian Research Agency) J7-8280 FRENK: Resources, methods, and tools for the understanding, identification, and classification of various forms of socially unacceptable discourse in the information society nationalFunds
size.info	7597560 texts
size.info	325225576 words
files.count	2
files.size	4987598838