This paper is in the following e-collection/theme issue:

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) JMIR Theme Issue: COVID-19 Special Issue (2554) Infodemiology and Infoveillance (1558) Outbreak and Pandemic Preparedness and Management (1826) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Mass Media/Social Media Communication and Campaigns (574) Natural Language Processing (917) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (409) Infectious Diseases (non-STD/STI) (1726) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance and Social Listening (313)

Published on in Vol 7, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31540, first published .
Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing

Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing

Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing

Authors of this article:

Slobodan Beliga1, 2 Author Orcid Image ;   Sanda Martinčić-Ipšić1, 2 Author Orcid Image ;   Mihaela Matešić2, 3 Author Orcid Image ;   Irena Petrijevčanin Vuksanović2 Author Orcid Image ;   Ana Meštrović1, 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (11) Metrics

Journals

  1. White B, Gombert A, Nguyen T, Yau B, Ishizumi A, Kirchner L, León A, Wilson H, Jaramillo-Gutierrez G, Cerquides J, D’Agostino M, Salvi C, Sreenath R, Rambaud K, Samhouri D, Briand S, Purnat T. Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study. JMIR Infodemiology 2023;3:e47317 View
  2. Li W, Zhang Y, Liang J, Yu H. Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study. DIGITAL HEALTH 2023;9 View
  3. AbuRaed A, Prikryl E, Carenini G, Janjua N. Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data. Journal of Medical Internet Research 2024;26:e59425 View
  4. Li W, Hua Y, Zhou P, Zhou L, Xu X, Yang J. Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis. Journal of Medical Internet Research 2025;27:e63755 View
  5. Ljubi I, Grgić Z, Vuković M, Gledec G. Detecting Disinformation in Croatian Social Media Comments. Future Internet 2025;17(4):178 View
  6. Guo S, Chen Y, Dang Y, Li X. Individual protective actions with social support seeking in an online health community: two observational cross-sectional studies during public health emergencies. Humanities and Social Sciences Communications 2025;12(1) View

Books/Policy Documents

  1. Bogović P, Meštrović A, Martinčić-Ipšić S. Information and Software Technologies. View
  2. Sarker A. Natural Language Processing in Biomedicine. View

Conference Proceedings

  1. Bogovic P, Aljevic D, Kovacic B, Martincic-Ipsic S. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). The NLP Powered BI Toolkit: The Case of MESOC View
  2. Krivičić A, Martinčić-Ipšić S. 2023 46th MIPRO ICT and Electronics Convention (MIPRO). Analyzing Sentiment of Reddit Posts for the Russia-Ukraine War View
  3. Kugic A, Schulz S, Kreuzthaler M. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Identification of Non-Lexical Content in Croatian Health Forum Entries View