A COVID-19 news coverage mood map of Europe
| dc.contributor.author | Robertson, Frankie | |
| dc.contributor.author | Lagus, Jarkko | |
| dc.contributor.author | Kajava, Kaisla | |
| dc.contributor.editor | Toivonen, Hannu | |
| dc.contributor.editor | Boggia, Michele | |
| dc.date.accessioned | 2021-09-03T10:53:14Z | |
| dc.date.available | 2021-09-03T10:53:14Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Robertson, F., Lagus, J., & Kajava, K. (2021). A COVID-19 news coverage mood map of Europe. In H. Toivonen, & M. Boggia (Eds.), <i>Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation</i> (pp. 110-115). Association for Computational Linguistics. <a href="https://aclanthology.org/2021.hackashop-1.15/" target="_blank">https://aclanthology.org/2021.hackashop-1.15/</a> | |
| dc.identifier.other | CONVID_100364589 | |
| dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/77661 | |
| dc.description.abstract | We present a COVID-19 news dashboard which visualizes sentiment in pandemic news coverage in different languages across Europe. The dashboard shows analyses for positive/neutral/negative sentiment and moral sentiment for news articles across countries and languages. First we extract news articles from news-crawl. Then we use a pre-trained multilingual BERT model for sentiment analysis of news article headlines and a dictionary and word vectors -based method for moral sentiment analysis of news articles. The resulting dashboard gives a unified overview of news events on COVID-19 news overall sentiment, and the region and language of publication from the period starting from the beginning of January 2020 to the end of January 2021. | en |
| dc.format.extent | 139 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Association for Computational Linguistics | |
| dc.relation.ispartof | Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation | |
| dc.relation.uri | https://aclanthology.org/2021.hackashop-1.15/ | |
| dc.rights | CC BY 4.0 | |
| dc.title | A COVID-19 news coverage mood map of Europe | |
| dc.type | conference paper | |
| dc.identifier.urn | URN:NBN:fi:jyu-202109034781 | |
| dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
| dc.contributor.laitos | Faculty of Information Technology | en |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
| dc.relation.isbn | 978-1-954085-13-8 | |
| dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
| dc.description.reviewstatus | nonPeerReviewed | |
| dc.format.pagerange | 110-115 | |
| dc.type.version | publishedVersion | |
| dc.rights.copyright | © Association for Computational Linguistics, 2021 | |
| dc.rights.accesslevel | openAccess | fi |
| dc.type.publication | conferenceObject | |
| dc.relation.conference | EACL Hackashop | |
| dc.subject.yso | COVID-19 | |
| dc.subject.yso | mieliala | |
| dc.subject.yso | uutiset | |
| dc.subject.yso | uutisointi | |
| dc.subject.yso | kansainvälinen vertailu | |
| dc.subject.yso | tekstinlouhinta | |
| dc.subject.yso | pandemiat | |
| dc.format.content | fulltext | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p38829 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p8354 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p13915 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p21431 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p19660 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p27112 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p10121 | |
| dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
| dc.type.okm | B3 |
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