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The Polarity of Croatian Online News Related to COVID-19: A First Insight
U: Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021. / Vrček, Neven; Pergler, Elisabeth; Grd, Petra (ur.). Faculty of Organization and Informatics, University of Zagreb, 2021. str. 237-246. urn:nbn:hr:195:432873
Ilić, Anton; Beliga, Slobodan

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Ilić, A. i Beliga, S. (2021). The Polarity of Croatian Online News Related to COVID-19: A First Insight. U N. Vrček, (Ur.), E. Pergler, (Ur.), P. Grd, (Ur.), Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021 (str. 237-246). Faculty of Organization and Informatics, University of Zagreb. Preuzeto s https://urn.nsk.hr/urn:nbn:hr:195:432873

Ilić, Anton i Slobodan Beliga. "The Polarity of Croatian Online News Related to COVID-19: A First Insight." Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021, Ur. Neven Vrček, Ur. Elisabeth Pergler, Ur. Petra Grd, Faculty of Organization and Informatics, University of Zagreb, 2021, str. 237-246. https://urn.nsk.hr/urn:nbn:hr:195:432873

Ilić, Anton i Slobodan Beliga. "The Polarity of Croatian Online News Related to COVID-19: A First Insight." U Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021, 237-246. Faculty of Organization and Informatics, University of Zagreb, 2021. Citirano 26.12.2024.. https://urn.nsk.hr/urn:nbn:hr:195:432873

Ilić, A. i Beliga, S. (2021) 'The Polarity of Croatian Online News Related to COVID-19: A First Insight', u Vrček, N. (ur.), Pergler, E. (ur.), Grd, P. (ur.), Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021, Faculty of Organization and Informatics, University of Zagreb, str. 237-246. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:195:432873 (Datum pristupa: 26.12.2024.)

Ilić A, Beliga S. The Polarity of Croatian Online News Related to COVID-19: A First Insight. U: N. Vrček, ur., E. Pergler, ur., P. Grd, ur. Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021. Faculty of Organization and Informatics, University of Zagreb; 2021. Str. 237-246. [pristupljeno 26.12.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:432873

A. Ilić i S. Beliga, "The Polarity of Croatian Online News Related to COVID-19: A First Insight", Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021, N. Vrček, E. Pergler i P. Grd, Ur. Faculty of Organization and Informatics, University of Zagreb, 2021. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:432873 [Citirano: 26.12.2024.]

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Podaci o radu
Naslov (engleski)The Polarity of Croatian Online News Related to COVID-19: A First Insight
AutorAnton Ilić
AutorSlobodan Beliga
UrednikNeven Vrček
UrednikElisabeth Pergler
UrednikPetra Grd
Autorova ustanovaSveučilište u Rijeci
(Fakultet informatike i digitalnih tehnologija)
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Informacijske i komunikacijske znanosti
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Računarstvo
Sažetak (engleski)
The polarity of online news publications thematically related to COVID-19 is analysed. A collection of sentiment annotations for news articles written in the Croatian language was created and compose a new Cro-CoV-Senti-articles-2020 dataset. The news article's sentiment is derived from the reactions of portal readers. In addition, well-known sentiment analysis approaches that use lexicons and machine learning algorithms have been implemented to automatically determine the sentiment of online news. Besides, the VADER framework was used in parallel. It has been found that for the purposes of crisis communication analysis when rapid analysis solutions are needed, existing tools can be used for preliminary sentiment analysis despite some technical shortcomings. However, for a more extensive analysis of the media space and highly valuable insights, some refinements are needed. This preliminary analysis, on a sample of approximately 3, 400 newspaper articles related to COVID-19, finds that readers perceive as many as two-thirds of articles negatively rather than positively.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov zbornikaProceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021
Brojčani podacistr. 237-246
p-ISSN1847-2001
e-ISSN1848-2295
URN:NBNurn:nbn:hr:195:432873
Datum objave publikacije2021
ProjektŠifra: IP-CORONA-2020-04-2061
Naziv (hrvatski): Višeslojni okvir za karakterizaciju širenja informacija putem društvenih medija tijekom krize COVID-19
Kratica: InfoCoV
Voditelj: Ana Meštrović
Pravna nadležnost: Hrvatska
Financijer: HRZZ
Linija financiranja: IP-CORONA
SkupNaziv: Central European Conference on Information and Intelligent Systems - CECIIS
Kratica: CECIIS 2021
Lokacija: Varaždin, Hrvatska
Datum početka: 2021-09-13
Datum završetka: 2021-09-15
Vrsta izlaganja: Predavanje
URL dokumentahttp://archive.ceciis.foi.hr/app/public/conferences/2021/Proceedings/IS/IS8.pdf
Vrsta resursaTekst
IzdavačFaculty of Organization and Informatics, University of Zagreb
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 3.0 (CC BY 3.0)
Datum i vrijeme pohrane2023-02-06 18:02:46