{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T10:39:53Z","timestamp":1762079993593,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T00:00:00Z","timestamp":1670976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006506","name":"Brazilian Ministry of Health","doi-asserted-by":"publisher","award":["54\/2017"],"award-info":[{"award-number":["54\/2017"]}],"id":[{"id":"10.13039\/501100006506","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>This study analyzes online news disseminated throughout the pre-, during-, and post-intervention periods of the \u201cSyphilis No!\u201d Project, which was developed in Brazil between November 2018 and March 2019. We investigated the influence of sentiment aspects of news to explore their possible relationships with syphilis testing data in response to the syphilis epidemic in Brazil. A dictionary-based technique (VADER) was chosen to perform sentiment analysis considering the Brazilian Portuguese language. Finally, the data collected were used in statistical tests to obtain other indicators, such as correlation and distribution analysis. Of the 627 news items, 198 (31.58%) were classified as a sentiment of security (TP2; stands for the news type 2), whereas 429 (68.42%) were classified as sentiments that instilled vulnerability (TP3; stands for the news type 3). The correlation between the number of syphilis tests and the number of news types TP2 and TP3 was verified from (i) 2015 to 2017 and (ii) 2018 to 2019. For the TP2 type news, in all periods, the p-values were greater than 0.05, thus generating inconclusive results. From 2015 to 2017, there was an \u03c1 = 0.33 correlation between TP3 news and testing data (p-value = 0.04); the years 2018 and 2019 presented a \u03c1 = 0.67 correlation between TP3 news and the number of syphilis tests performed per month, with p-value = 0.0003. In addition, Granger\u2019s test was performed between TP3 news and syphilis testing, which resulted in a p-value = 0.002, thus indicating the existence of Granger causality between these time series. By applying natural language processing to sentiment and informational content analysis of public health campaigns, it was found that the most substantial increase in testing was strongly related to attitude-inducing content (TP3).<\/jats:p>","DOI":"10.3390\/ijerph192416801","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T01:52:30Z","timestamp":1671069150000},"page":"16801","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Sentiment Analysis in Understanding the Potential of Online News in the Public Health Crisis Response"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7652-4463","authenticated-orcid":false,"given":"Thiago","family":"Marques","sequence":"first","affiliation":[{"name":"Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9786-7134","authenticated-orcid":false,"given":"Sidemar","family":"Cez\u00e1rio","sequence":"additional","affiliation":[{"name":"Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0876-377X","authenticated-orcid":false,"given":"Juciano","family":"Lacerda","sequence":"additional","affiliation":[{"name":"Department of Social Communication, Federal University of Rio Grande do Norte, Natal 59072-970, Brazil"},{"name":"Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte, Natal 59010-090, Brazil"}]},{"given":"Rafael","family":"Pinto","sequence":"additional","affiliation":[{"name":"Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"},{"name":"Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte, Natal 59010-090, Brazil"},{"name":"Information Systems Coordination, Federal Institute of Rio Grande do Norte, Natal 59015-300, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1772-6062","authenticated-orcid":false,"given":"Lyrene","family":"Silva","sequence":"additional","affiliation":[{"name":"Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4918-3162","authenticated-orcid":false,"given":"Orivaldo","family":"Santana","sequence":"additional","affiliation":[{"name":"Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte, Natal 59010-090, Brazil"},{"name":"School of Science and Technology, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"}]},{"given":"Anna Giselle","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte, Natal 59010-090, Brazil"}]},{"given":"Agnaldo Souza","family":"Cruz","sequence":"additional","affiliation":[{"name":"Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte, Natal 59010-090, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5556-8379","authenticated-orcid":false,"given":"Ang\u00e9lica Espinosa","family":"Miranda","sequence":"additional","affiliation":[{"name":"Ministry of Health, Bras\u00edlia 70070-600, Brazil"},{"name":"Postgraduate Program in Infectious Diseases, Federal University of Esp\u00edrito Santo, Vit\u00f3ria 29075-910, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6600-7422","authenticated-orcid":false,"given":"Aed\u00ea","family":"Cadaxa","sequence":"additional","affiliation":[{"name":"Ministry of Health, Bras\u00edlia 70070-600, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3206-7061","authenticated-orcid":false,"given":"Luc\u00eda Sanju\u00e1n","family":"N\u00fa\u00f1ez","sequence":"additional","affiliation":[{"name":"Department of Social and Cultural Anthropology, Autonomous University of Barcelona, 08193 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5779-8645","authenticated-orcid":false,"given":"Hugo","family":"Gon\u00e7alo Oliveira","sequence":"additional","affiliation":[{"name":"Centre for Informatics and Systems of the University of Coimbra (CISUC), Department of Informatics Engineering (DEI), University of Coimbra, 3030-290 Coimbra, Portugal"}]},{"given":"Rifat","family":"Atun","sequence":"additional","affiliation":[{"name":"Health Systems Innovation Laboratory, Harvard TH Chan School Public Health, Harvard University, Boston, MA 02115, USA"},{"name":"Department of Global Health and Population, Harvard TH Chan School Public Health, Harvard University, Boston, MA 02115, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9216-8593","authenticated-orcid":false,"given":"Ricardo","family":"Valentim","sequence":"additional","affiliation":[{"name":"Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte, Natal 59010-090, Brazil"},{"name":"Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal 59628-330, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,14]]},"reference":[{"key":"ref_1","unstructured":"Pan American Health Organization (2021, November 04). 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