prikaz prve stranice dokumenta Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing
  Preuzmi
PDF 1.42 MB
Znanstveni rad - Izvorni znanstveni rad
Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing
JMIR Public Health and Surveillance, 7 (2021), 12; e31540--. https://doi.org/10.2196/31540
Beliga, Slobodan; Martinčić-Ipšić, Sanda; Matešić, Mihaela; Petrijevčanin Vuksanović, Irena; Meštrović, Ana

Citirajte ovaj rad

Beliga, S., Martinčić Ipšić, S., Matešić, M., Petrijevčanin Vuksanović, I. i Meštrović, A. (2021). Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing. JMIR Public Health and Surveillance, 7. (12), e31540--. doi: 10.2196/31540

Beliga, Slobodan, et al. "Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing." JMIR Public Health and Surveillance, vol. 7, br. 12, 2021, str. e31540--. https://doi.org/10.2196/31540

Beliga, Slobodan, Sanda Martinčić Ipšić, Mihaela Matešić, Irena Petrijevčanin Vuksanović i Ana Meštrović. "Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing." JMIR Public Health and Surveillance 7, br. 12 (2021): e31540--. https://doi.org/10.2196/31540

Beliga, S., et al. (2021) 'Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing', JMIR Public Health and Surveillance, 7(12), str. e31540--. doi: 10.2196/31540

Beliga S, Martinčić Ipšić S, Matešić M, Petrijevčanin Vuksanović I, Meštrović A. Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing. JMIR Public Health and Surveillance [Internet]. 2021. [pristupljeno 19.04.2024.];7(12):e31540--. doi: 10.2196/31540

S. Beliga, S. Martinčić Ipšić, M. Matešić, I. Petrijevčanin Vuksanović i A. Meštrović, "Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing", JMIR Public Health and Surveillance, vol. 7, br. 12, str. e31540--, 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:647995. [Citirano: 19.04.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:195:647995
Prijavite se u repozitorij kako biste mogli spremiti objekt u svoju listu.
Podaci o radu
Naslov (engleski)Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing
AutorSlobodan Beliga
AutorSanda Martinčić-Ipšić
AutorMihaela Matešić
AutorIrena Petrijevčanin Vuksanović
AutorAna Meštrović
Autorova ustanovaSveučilište u Rijeci
(Fakultet informatike i digitalnih tehnologija)
Autorova ustanovaSveučilište u Rijeci
Filozofski fakultet
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Informacijske i komunikacijske znanosti
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Računarstvo
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Javno zdravstvo i zdravstvena zaštita
Sažetak (engleski)
Background: Online media play an important role in public health emergencies and serve as essential communication platforms. Infoveillance of online media during the COVID-19 pandemic is an important step toward gaining a better understanding of crisis communication. Objective: The goal of this study was to perform a longitudinal analysis of the COVID-19–related content on online media based on natural language processing. Methods: We collected a data set of news articles published by Croatian online media during the first 13 months of the pandemic. First, we tested the correlations between the number of articles and the number of new daily COVID-19 cases. Second, we analyzed the content by extracting the most frequent terms and applied the Jaccard similarity coefficient. Third, we compared the occurrence of the pandemic-related terms during the two waves of the pandemic. Finally, we applied named entity recognition to extract the most frequent entities and tracked the dynamics of changes during the observation period. Results: The results showed no significant correlation between the number of articles and the number of new daily COVID-19 cases. Furthermore, there were high overlaps in the terminology used in all articles published during the pandemic with a slight shift in the pandemic-related terms between the first and the second waves. Finally, the findings indicate that the most influential entities have lower overlaps for the identified people and higher overlaps for locations and institutions. Conclusions: Our study shows that online media have a prompt response to the pandemic with a large number of COVID-19–related articles. There was a high overlap in the frequently used terms across the first 13 months, which may indicate the narrow focus of reporting in certain periods. However, the pandemic-related terminology is well-covered.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaJMIR Public Health and Surveillance
Brojčani podacivol. 7, br. 12, str. e31540--
p-ISSN2369-2960
DOIhttps://doi.org/10.2196/31540
URN:NBNurn:nbn:hr:195:647995
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
URL dokumentahttps://publichealth.jmir.org/2021/12/e31540/
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2023-02-06 14:47:26