InfoCoV web application provides interactive search and visualisations of the results of the InfoCoV project research. We analyse different aspects of crisis communication in social media:

1. Covid Trends – analysis of the frequencies of terms in newspaper articles during the pandemic
2. Online portals – analysis and visualisation of the pandemic related terminology, analysis of entities (persons, locations, institutions, etc.) in terms of similarities across months.
3. Social Media – analysis of Twitter messages related to COVID-19
4. Networks visualisations – visualisations of layers integrated in the Multilayer Network of COVID-19 related communication on Twitter

Please cite the following papers:
Slobodan Beliga, Sanda Martinčić-Ipšić, Mihaela Matešić, Irena Petrijevčanin Vuksanović, 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, vol. 7, no. 12, pages e31540, Dec. 2021. http://dx.doi.org/10.2196/31540

Karlo Babić, Milan Petrović, Slobodan Beliga, Sanda Martinčić-Ipšić, Mihaela Matešić, Ana Meštrović: “Characterisation of COVID-19-Related Tweets in the Croatian Language: Framework Based on the Cro-CoV-cseBERT Model ”, Applied Sciences, vol. 11, no. 21, p. 10442, Nov. 2021. http://dx.doi.org/10.3390/app112110442