The Polarity of Croatian Online News Related to COVID-19: A First Insight

Ilić, Anton; Beliga, Slobodan

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

Cite this document

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

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 November 17. https://urn.nsk.hr/urn:nbn:hr:195:432873

Harvard

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 17 November 2024)

Vancouver

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 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:195:432873

IEEE

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: 17 November 2024]

Cite this item: https://urn.nsk.hr/urn:nbn:hr:195:432873

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Metadata

Title (english)	The Polarity of Croatian Online News Related to COVID-19: A First Insight
Author	Anton Ilić
Author	Slobodan Beliga
Editor	Neven Vrček
Editor	Elisabeth Pergler
Editor	Petra Grd
Author's institution	University 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)
Language	english
Publication type	Scientific paper - Original scientific paper
Publication status	Published
Peer review	Peer review - international
Publication version	Published version
Publication title	Proceedings of 32nd Central European Conference on Information and Intelligent Systems – CECIIS 2021
Numbering	pp. 237-246
p-ISSN	1847-2001
e-ISSN	1848-2295
URN:NBN	urn:nbn:hr:195:432873
Publication	2021
Project	Number: 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
Conference	Title: 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 URL	http://archive.ceciis.foi.hr/app/public/conferences/2021/Proceedings/IS/IS8.pdf
Type of resource	Text
Publisher	Faculty of Organization and Informatics, University of Zagreb
Access conditions	Open access
Terms of use
Created on	2023-02-06 18:02:46