{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T23:48:55Z","timestamp":1777852135492,"version":"3.51.4"},"reference-count":27,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T00:00:00Z","timestamp":1602633600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:p>Research has revealed that social media data may be promising in many health threats and help to understand how people respond to them. As the outbreak of a novel coronavirus disease (COVID-19) is a global pandemic, a real-time social media monitoring is needed to know the scale of this phenomenon. We have reported the frequency, reach and impact of online mentions about the COVID-19 illness taken from social media platforms: Facebook, Instagram, Twitter, blogs, forums, and news portals to highlight and better understand the scope of coronavirus discussion in Poland. We used SentiOne social listening tool to gather the data and perform the monitoring between 24 February 2020 to 25 March 2020. We found a total of 1,415,750 mentions related to COVID-19 which gives the average 47,192 mentions per day. 95.36% (1,350,059) of mentions were people\u2019s updates and expressions, 4.64% (65,691) mentions were articles from news portals and social media. Males have dominated the online conversation about COVID-19 (65.32% vs 34.68% females). At the same time, women were more likely to discuss the topic on social media platforms such as: Facebook, Twitter, and Instagram. We concluded with theoretical and practical implications.<\/jats:p>","DOI":"10.1177\/1460458220962652","type":"journal-article","created":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T03:14:56Z","timestamp":1602645296000},"page":"3056-3065","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":24,"title":["The social life of COVID-19: Early insights from social media monitoring data collected in Poland"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8143-8204","authenticated-orcid":false,"given":"Joanna","family":"Burzy\u0144ska","sequence":"first","affiliation":[{"name":"Medical College of Rzeszow University, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Bartosiewicz","sequence":"additional","affiliation":[{"name":"Medical College of Rzeszow University, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Magdalena","family":"R\u0119kas","sequence":"additional","affiliation":[{"name":"Medical College of Rzeszow University, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,10,14]]},"reference":[{"key":"bibr1-1460458220962652","unstructured":"WHO. Coronavirus, https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019\/events-as-they-happen (2020, accessed 24 March 2020)."},{"key":"bibr2-1460458220962652","unstructured":"Johns Hopkins Coronavirus Resource Center. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU), https:\/\/coronavirus.jhu.edu\/map.html (2020, accessed 24 March 2020)."},{"key":"bibr3-1460458220962652","unstructured":"Ministry of Health. Coronavirus: information and recommendations, https:\/\/www.gov.pl\/web\/coronavirus (2020, accessed 16 June 2020)."},{"key":"bibr4-1460458220962652","unstructured":"Gold H. Netflix and YouTube are slowing down in Europe to keep the internet from breaking. CNN Business, https:\/\/edition.cnn.com\/2020\/03\/19\/tech\/netflix-internet-overload-eu\/index.html (2020, accessed 24 March 2020)."},{"key":"bibr5-1460458220962652","unstructured":"National Health Service (NHS). NHS takes action against coronavirus fake news online, https:\/\/www.england.nhs.uk\/2020\/03\/nhs-takes-action-against-coronavirus-fake-news-online\/ (2020, accessed 24 March 2020)."},{"key":"bibr6-1460458220962652","unstructured":"Sonnemaker T. Facebook, Google, Microsoft, Reddit, and Twitter just said they\u2019re working together to fight coronavirus misinformation. Business Insider, https:\/\/www.businessinsider.com\/facebook-google-youtube-microsoft-reddit-twitter-fight-coronavirus-covid19-misinformation-2020-3?IR=T (2020, accessed 24 March 2020)."},{"key":"bibr7-1460458220962652","unstructured":"Jin K. Keeping people safe and informed about the coronavirus, https:\/\/about.fb.com\/news\/2020\/03\/coronavirus\/ (2020, accessed 24 March 2020)."},{"key":"bibr8-1460458220962652","unstructured":"WhatsApp. The World Health Organization launches WHO Health alert on WhatsApp, https:\/\/www.whatsapp.com\/coronavirus\/who (2020, accessed 24 March 2020)."},{"key":"bibr9-1460458220962652","unstructured":"Pichai S. COVID-19: how we\u2019re continuing to help, https:\/\/blog.google\/inside-google\/company-announcements\/covid-19-how-were-continuing-to-help\/ (2020, accessed 24 March 2020)."},{"key":"bibr10-1460458220962652","unstructured":"YouTube Help. Coronavirus disease 2019 (COVID-19) updates, https:\/\/support.google.com\/youtube\/answer\/9777243?p=covid19_updates&visit_id=637205786568959318-3713159103&rd=1 (2020, accessed 24 March 2020)."},{"key":"bibr11-1460458220962652","unstructured":"Edelman Trust Barometer. Special report: Trust and the coronavirus, https:\/\/www.edelman.com\/sites\/g\/files\/aatuss191\/files\/2020-03\/2020%20Edelman%20Trust%20Barometer%20Coronavirus%20Special%20Report_0.pdf (2020, accessed 24 March 2020)."},{"key":"bibr12-1460458220962652","unstructured":"SentiOne. Social listening, https:\/\/sentione.com\/resources\/social-listening (accessed 24 March 2020)."},{"key":"bibr13-1460458220962652","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajic.2015.02.023"},{"key":"bibr14-1460458220962652","doi-asserted-by":"publisher","DOI":"10.1177\/1460458214568037"},{"key":"bibr15-1460458220962652","doi-asserted-by":"publisher","DOI":"10.2196\/18700"},{"key":"bibr16-1460458220962652","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0155885"},{"key":"bibr17-1460458220962652","unstructured":"Perrin A and Anderson M. Share of U.S. adults using social media, including Facebook, is mostly unchanged since 2018. Washington, DC: Pew Research Center. https:\/\/www.pewresearch.org\/fact-tank\/2019\/04\/10\/share-of-u-s-adults-using-social-media-including-facebook-is-mostly-unchanged-since-2018\/ (2019, accessed 31 March 2020)."},{"key":"bibr18-1460458220962652","unstructured":"Statista. Distribution of Facebook users in the United States as of February 2020, by gender, https:\/\/www.statista.com\/statistics\/266879\/facebook-users-in-the-us-by-gender\/ (2020, accessed 31 March 2020)."},{"key":"bibr19-1460458220962652","unstructured":"Marketing Charts. Social networking platforms\u2019 user demographics update 2019, https:\/\/www.marketingcharts.com\/digital\/social-media-108184 (2019, accessed 31 March 2020)."},{"key":"bibr20-1460458220962652","unstructured":"Statista. Global internet usage rate 2019, by gender and market maturity, https:\/\/www.statista.com\/statistics\/333871\/gender-distribution-of-internet-users-worldwide\/ (2020, accessed 31 March 2020)."},{"key":"bibr21-1460458220962652","unstructured":"Gemius Polska. Women and men on the web, https:\/\/www.gemius.pl\/wszystkie-artykuly-aktualnosci\/kobiety-i-mezczyzni-w-sieci.html (2019, accessed 31 March 2020) (in Polish)."},{"key":"bibr22-1460458220962652","doi-asserted-by":"crossref","unstructured":"Gall C, Suzuki E. Big data: a new dawn for public health? In: Health in the 21st Century. Putting Data to Work For Stronger Health Systems. OECD. Health Policy Studies. Paris: OECD Publishing. https:\/\/doi.org\/10.1787\/f24cb567-en (2019, accessed 31 March 2020).","DOI":"10.1787\/f24cb567-en"},{"key":"bibr23-1460458220962652","doi-asserted-by":"publisher","DOI":"10.2196\/19087"},{"key":"bibr24-1460458220962652","doi-asserted-by":"publisher","DOI":"10.2196\/18825"},{"key":"bibr25-1460458220962652","doi-asserted-by":"publisher","DOI":"10.1126\/science.1248506"},{"key":"bibr26-1460458220962652","volume":"7","author":"Gkotsis G","year":"2017","journal-title":"Sci Rep"},{"key":"bibr27-1460458220962652","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-0312"}],"container-title":["Health Informatics Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1460458220962652","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1460458220962652","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1460458220962652","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T22:31:14Z","timestamp":1777501874000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1460458220962652"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,14]]},"references-count":27,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["10.1177\/1460458220962652"],"URL":"https:\/\/doi.org\/10.1177\/1460458220962652","relation":{},"ISSN":["1460-4582","1741-2811"],"issn-type":[{"value":"1460-4582","type":"print"},{"value":"1741-2811","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,14]]}}}