HaSpeeDe 2 Dataset
The HaSpeeDe2 dataset collects 8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance. The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVA...
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| creator | Frenda, Simona Russo, Irene Stranisci, Marco Comandini, Gloria Caselli, Tommaso Di Nuovo, Elisa Patti, Viviana Bosco, Cristina Sanguinetti, Manuela |
| description | The HaSpeeDe2 dataset collects 8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance. The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020). In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text. |
| doi_str_mv | 10.57771/2ycx-wy17 |
| format | Dataset |
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The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020). In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text.</description><identifier>DOI: 10.57771/2ycx-wy17</identifier><language>eng</language><publisher>ELG</publisher><subject>facebook comments ; hate speech ; Italian language ; news headlines ; nominal utterance ; sentiment analysis ; social media language ; stereotypes ; tweets</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.57771/2ycx-wy17$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Frenda, Simona</creatorcontrib><creatorcontrib>Russo, Irene</creatorcontrib><creatorcontrib>Stranisci, Marco</creatorcontrib><creatorcontrib>Comandini, Gloria</creatorcontrib><creatorcontrib>Caselli, Tommaso</creatorcontrib><creatorcontrib>Di Nuovo, Elisa</creatorcontrib><creatorcontrib>Patti, Viviana</creatorcontrib><creatorcontrib>Bosco, Cristina</creatorcontrib><creatorcontrib>Sanguinetti, Manuela</creatorcontrib><title>HaSpeeDe 2 Dataset</title><description>The HaSpeeDe2 dataset collects 8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance. The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020). In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text.</description><subject>facebook comments</subject><subject>hate speech</subject><subject>Italian language</subject><subject>news headlines</subject><subject>nominal utterance</subject><subject>sentiment analysis</subject><subject>social media language</subject><subject>stereotypes</subject><subject>tweets</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2021</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBAyNNAzNTc3N9Q3qkyu0C2vNDTnZBDySAwuSE11SVUwUnBJLEksTi3hYWBNS8wpTuWF0twMWm6uIc4euilA-eTMktT4gqLM3MSiynhDg3iwgfEgA-NBBhqTpBgABessIA</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Frenda, Simona</creator><creator>Russo, Irene</creator><creator>Stranisci, Marco</creator><creator>Comandini, Gloria</creator><creator>Caselli, Tommaso</creator><creator>Di Nuovo, Elisa</creator><creator>Patti, Viviana</creator><creator>Bosco, Cristina</creator><creator>Sanguinetti, Manuela</creator><general>ELG</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>2021</creationdate><title>HaSpeeDe 2 Dataset</title><author>Frenda, Simona ; Russo, Irene ; Stranisci, Marco ; Comandini, Gloria ; Caselli, Tommaso ; Di Nuovo, Elisa ; Patti, Viviana ; Bosco, Cristina ; Sanguinetti, Manuela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_57771_2ycx_wy173</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2021</creationdate><topic>facebook comments</topic><topic>hate speech</topic><topic>Italian language</topic><topic>news headlines</topic><topic>nominal utterance</topic><topic>sentiment analysis</topic><topic>social media language</topic><topic>stereotypes</topic><topic>tweets</topic><toplevel>online_resources</toplevel><creatorcontrib>Frenda, Simona</creatorcontrib><creatorcontrib>Russo, Irene</creatorcontrib><creatorcontrib>Stranisci, Marco</creatorcontrib><creatorcontrib>Comandini, Gloria</creatorcontrib><creatorcontrib>Caselli, Tommaso</creatorcontrib><creatorcontrib>Di Nuovo, Elisa</creatorcontrib><creatorcontrib>Patti, Viviana</creatorcontrib><creatorcontrib>Bosco, Cristina</creatorcontrib><creatorcontrib>Sanguinetti, Manuela</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Frenda, Simona</au><au>Russo, Irene</au><au>Stranisci, Marco</au><au>Comandini, Gloria</au><au>Caselli, Tommaso</au><au>Di Nuovo, Elisa</au><au>Patti, Viviana</au><au>Bosco, Cristina</au><au>Sanguinetti, Manuela</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>HaSpeeDe 2 Dataset</title><date>2021</date><risdate>2021</risdate><abstract>The HaSpeeDe2 dataset collects 8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance. The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020). In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text.</abstract><pub>ELG</pub><doi>10.57771/2ycx-wy17</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.57771/2ycx-wy17 |
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| language | eng |
| recordid | cdi_datacite_primary_10_57771_2ycx_wy17 |
| source | DataCite |
| subjects | facebook comments hate speech Italian language news headlines nominal utterance sentiment analysis social media language stereotypes tweets |
| title | HaSpeeDe 2 Dataset |
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