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

Institutional repository: Repository of the University of Rijeka, Faculty of Informatics and Digital Technologies

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

Ilić, Anton and 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, edited by Neven Vrček, edited by Elisabeth Pergler, edited by Petra Grd, Faculty of Organization and Informatics, University of Zagreb, 2021, pp. 237-246. https://urn.nsk.hr/urn:nbn:hr:195:432873

Ilić, Anton and Slobodan Beliga. "The Polarity of Croatian Online News Related to COVID-19: A First Insight." In Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021, 237-246. Faculty of Organization and Informatics, University of Zagreb, 2021. Accessed 2024 December 27. https://urn.nsk.hr/urn:nbn:hr:195:432873

Ilić, A. and Beliga, S. (2021) 'The Polarity of Croatian Online News Related to COVID-19: A First Insight', in Vrček, N. (ed.), Pergler, E. (ed.), Grd, P. (ed.), Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021, Faculty of Organization and Informatics, University of Zagreb, pp. 237-246. Available at: https://urn.nsk.hr/urn:nbn:hr:195:432873 (Accessed 27 December 2024)

Ilić A, Beliga S. The Polarity of Croatian Online News Related to COVID-19: A First Insight. In: N. Vrček, ed., E. Pergler, ed., P. Grd, ed. Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021. Faculty of Organization and Informatics, University of Zagreb; 2021. Pp. 237-246. [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:195:432873

A. Ilić and 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 and P. Grd, Eds. Faculty of Organization and Informatics, University of Zagreb, 2021. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:195:432873 [Accessed: 27 December 2024]

Metadata
Title (english)The Polarity of Croatian Online News Related to COVID-19: A First Insight
AuthorAnton Ilić
AuthorSlobodan Beliga
EditorNeven Vrček
EditorElisabeth Pergler
EditorPetra Grd
Author's institutionUniversity of Rijeka
(Faculty of Informatics and Digital Technologies)
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleProceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021
Numberingpp. 237-246
p-ISSN1847-2001
e-ISSN1848-2295
URN:NBNurn:nbn:hr:195:432873
Publication2021
ProjectNumber: IP-CORONA-2020-04-2061
Title (croatian): Višeslojni okvir za karakterizaciju širenja informacija putem društvenih medija tijekom krize COVID-19
Acronym: InfoCoV
Leader: Ana Meštrović
Jurisdiction: Croatia
Funding stream: IP-CORONA
ConferenceTitle: Central European Conference on Information and Intelligent Systems - CECIIS
Acronym: CECIIS 2021
Location: Varaždin, Croatia
Start date: 2021-09-13
End date: 2021-09-15
Assembly type: Lecture
Document URLhttp://archive.ceciis.foi.hr/app/public/conferences/2021/Proceedings/IS/IS8.pdf
Type of resourceText
PublisherFaculty of Organization and Informatics, University of Zagreb
Access conditionsOpen access
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
Created on2023-02-06 18:02:46