{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T10:24:45Z","timestamp":1755599085421,"version":"3.41.2"},"reference-count":61,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2022,8,29]],"date-time":"2022-08-29T00:00:00Z","timestamp":1661731200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AJIM"],"published-print":{"date-parts":[[2023,3,23]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this study is to analyze the topics of COVID-19 news articles for better obtaining the relationship among and the evolution of news topics, helping to manage the infodemic from a quantified perspective.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>To analyze COVID-19 news articles explicitly, this paper proposes a prism architecture. Based on epidemic-related news on China Daily and CNN, this paper identifies the topics of the two news agencies, elucidates the relationship between and amongst these topics, tracks topic changes as the epidemic progresses and presents the results visually and compellingly.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The analysis results show that CNN has a more concentrated distribution of topics than China Daily, with the former focusing on government-related information, and the latter on medical. Besides, the pandemic has had a big impact on CNN and China Daily's reporting preference. The evolution analysis of news topics indicates that the dynamic changes of topics have a strong relationship with the pandemic process.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This paper offers novel perspectives to review the topics of COVID-19 news articles and provide new understandings of news articles during the initial outbreak. The analysis results expand the scope of infodemic-related studies.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ajim-05-2022-0264","type":"journal-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T07:39:37Z","timestamp":1661499577000},"page":"407-429","source":"Crossref","is-referenced-by-count":4,"title":["Reviewing topics of COVID-19 news articles: case study of CNN and China daily"],"prefix":"10.1108","volume":"75","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5224-6630","authenticated-orcid":false,"given":"Yue","family":"Yuan","sequence":"first","affiliation":[]},{"given":"Kan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yanli","family":"Wang","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2022,8,29]]},"reference":[{"issue":"3","key":"key2023032304443968700_ref001","first-page":"883","article-title":"Politicizing the pandemic: a schemata analysis of Covid-19 news in two selected newspapers","volume":"35","year":"2020","journal-title":"International Journal for the Semiotics of Law-Revue internationale de S\u00e9miotique juridique"},{"issue":"4","key":"key2023032304443968700_ref002","article-title":"Top concerns of tweeters during the COVID-19 pandemic: infoveillance study","volume":"22","year":"2020","journal-title":"Journal of Medical Internet Research"},{"issue":"1","key":"key2023032304443968700_ref003","first-page":"1","article-title":"Identifying leadership characteristics from social media data during natural hazards using personality traits","volume":"10","year":"2020","journal-title":"Scientific Reports"},{"key":"key2023032304443968700_ref004","doi-asserted-by":"publisher","DOI":"10.1177\/01655515211001661","article-title":"Using text mining to glean insights from COVID-19 literature","year":"2021","journal-title":"Journal of Information Science"},{"issue":"1","key":"key2023032304443968700_ref005","first-page":"1","article-title":"Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak","volume":"7","year":"2020","journal-title":"Humanities and Social Sciences Communications"},{"issue":"3","key":"key2023032304443968700_ref006","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.idh.2020.05.001","article-title":"News coverage of the COVID-19 pandemic: missed opportunities to promote health sustaining behaviors","volume":"25","year":"2020","journal-title":"Infection, Disease & Health"},{"issue":"3","key":"key2023032304443968700_ref008","doi-asserted-by":"crossref","first-page":"2661","DOI":"10.1007\/s11192-020-03590-7","article-title":"Coronavirus mapping in scientific publications: when science advances rapidly and collectively, is access to this knowledge open to society?","volume":"124","year":"2020","journal-title":"Scientometrics"},{"issue":"2","key":"key2023032304443968700_ref009","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1177\/089431849701000210","article-title":"A case for theory triangulation","volume":"10","year":"1997","journal-title":"Nursing Science Quarterly"},{"issue":"21","key":"key2023032304443968700_ref010","article-title":"Digital disease detection\u2014harnessing the Web for public health surveillance","volume":"360","year":"2009","journal-title":"The New England Journal of Medicine"},{"key":"key2023032304443968700_ref011","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.jbusres.2020.11.043","article-title":"Research lines on the impact of the COVID-19 pandemic on business. A text mining analysis","volume":"132","year":"2021","journal-title":"Journal of Business Research"},{"issue":"3","key":"key2023032304443968700_ref012","article-title":"A bibliometric analysis of COVID-19 research activity: a call for increased output","volume":"12","year":"2020","journal-title":"Cureus"},{"key":"key2023032304443968700_ref013","article-title":"Social media use and misinformation among Asian Americans during COVID-19","volume":"9","year":"2021","journal-title":"Frontiers in Public Health"},{"issue":"9","key":"key2023032304443968700_ref014","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1080\/21670811.2021.1957967","article-title":"News avoidance during the COVID-19 crisis: understanding information overload","volume":"9","year":"2021","journal-title":"Digital Journalism"},{"key":"key2023032304443968700_ref015","first-page":"ckaa165","article-title":"Infodemia and COVID-19: a text mining analysis","volume":"30","year":"2020","journal-title":"European Journal of Public Health"},{"key":"key2023032304443968700_ref016","article-title":"Perceived vulnerability to disease and attitudes towards public health measures: COVID-19 in Flanders, Belgium","volume":"166","year":"2020","journal-title":"Personality and Individual Differences"},{"issue":"2","key":"key2023032304443968700_ref017","first-page":"669","article-title":"Emerging topics in Brexit debate on Twitter around the deadlines","volume":"156","year":"2021","journal-title":"Social Indicators Research"},{"issue":"2","key":"key2023032304443968700_ref018","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1111\/disa.12244","article-title":"Analysing news media coverage of the 2015 Nepal earthquake using a community capitals lens: implications for disaster resilience","volume":"42","year":"2018","journal-title":"Disasters"},{"issue":"11","key":"key2023032304443968700_ref019","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1080\/10810730.2021.2010841","article-title":"COVID-19 news and misinformation: do they matter for public health prevention?","volume":"26","year":"2021","journal-title":"Journal of Health Communication"},{"issue":"1","key":"key2023032304443968700_ref020","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1007\/s11192-020-03632-0","article-title":"Characteristics of scientific articles on COVID-19 published during the initial 3\u00a0months of the pandemic","volume":"125","year":"2020","journal-title":"Scientometrics"},{"issue":"4","key":"key2023032304443968700_ref021","first-page":"55","article-title":"Sentiment analysis of Tweets on coronavirus disease 2019 (COVID-19) pandemic from metro Manila, Philippines","volume":"20","year":"2020","journal-title":"Cybernetics and Information Technologies"},{"key":"key2023032304443968700_ref022","doi-asserted-by":"crossref","first-page":"36645","DOI":"10.1109\/ACCESS.2021.3062875","article-title":"Investigating covid-19 news across four nations: a topic modeling and sentiment analysis approach","volume":"9","year":"2021","journal-title":"Ieee Access"},{"issue":"1","key":"key2023032304443968700_ref023","article-title":"Studying the COVID-19 infodemic at scale","volume":"8","year":"2021","journal-title":"Big Data & Society"},{"issue":"3","key":"key2023032304443968700_ref024","doi-asserted-by":"crossref","first-page":"2687","DOI":"10.1007\/s11192-020-03587-2","article-title":"Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders","volume":"124","year":"2020","journal-title":"Scientometrics"},{"issue":"1","key":"key2023032304443968700_ref025","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/s11192-017-2383-1","article-title":"Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization","volume":"112","year":"2017","journal-title":"Scientometrics"},{"issue":"5","key":"key2023032304443968700_ref026","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1080\/10810730.2021.1946219","article-title":"The COVID-19 pandemic and positive psychology: the role of news and trust in news on mental health and well-being","volume":"26","year":"2021","journal-title":"Journal of Health Communication"},{"issue":"7","key":"key2023032304443968700_ref027","article-title":"How development affects news media coverage of earthquakes: implications for disaster risk reduction in observing communities","volume":"11","year":"2019","journal-title":"Sustainability"},{"issue":"12","key":"key2023032304443968700_ref028","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1080\/10810730.2021.2021460","article-title":"Interventions to mitigate COVID-19 misinformation: a systematic review and meta-analysis","volume":"26","year":"2021","journal-title":"Journal of Health Communication"},{"issue":"12","key":"key2023032304443968700_ref029","doi-asserted-by":"crossref","first-page":"1593","DOI":"10.1177\/1464884917737212","article-title":"What determines international disaster coverage in the US news media?","volume":"20","year":"2019","journal-title":"Journalism"},{"key":"key2023032304443968700_ref030","first-page":"22009","article-title":"The effect of big-city news on rural America during the COVID-19 pandemic","volume-title":"Proceedings of the National Academy of Sciences","year":"2020"},{"issue":"4","key":"key2023032304443968700_ref031","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1023\/A:1024940629314","article-title":"Bursty and hierarchical structure in streams","volume":"7","year":"2003","journal-title":"Data Mining and Knowledge Discovery"},{"key":"key2023032304443968700_ref032","first-page":"4","article-title":"Covid-19, digital media, and Facebook: interactions, treatment, and content analysis based on keywords of news on okdiario. com and eldiario. es","volume":"29","year":"2020","journal-title":"El profesional de la informaci\u00f3n"},{"issue":"12","key":"key2023032304443968700_ref033","article-title":"Structural topic model analysis of mask-wearing issue using international news big data","volume":"18","year":"2021","journal-title":"International Journal of Environmental Research and Public Health"},{"issue":"3","key":"key2023032304443968700_ref034","article-title":"Analyzing spatial-temporal distribution of natural hazards in China by mining news sources","volume":"19","year":"2018","journal-title":"Natural Hazards Review"},{"issue":"4","key":"key2023032304443968700_ref035","article-title":"Health communication through news media during the early stage of the COVID-19 outbreak in China: digital topic modeling approach","volume":"22","year":"2020","journal-title":"Journal of Medical Internet Research"},{"key":"key2023032304443968700_ref036","doi-asserted-by":"publisher","DOI":"10.1177\/00302228211062361","article-title":"Suicidal ideation during the CoViD-19 pandemic: investigating mental health, CoViD-19 health beliefs, and news media consumption in the United States population in the year 2020","year":"2021","journal-title":"OMEGA-Journal of Death and Dying"},{"issue":"1","key":"key2023032304443968700_ref037","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1785\/0220190082","article-title":"# EarthquakeAdvisory: exploring discourse between government officials, news media, and social media during the 2016 Bombay Beach Swarm","volume":"91","year":"2020","journal-title":"Seismological Research Letters"},{"year":"2021","key":"key2023032304443968700_ref039","article-title":"Issues and agendas of pandemic crisis management: a text analysis of world economic forum COVID-19 reports"},{"issue":"3","key":"key2023032304443968700_ref040","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1089\/hs.2017.0106","article-title":"Coverage of epidemics in American newspapers through the lens of the crisis and emergency risk communication framework","volume":"16","year":"2018","journal-title":"Health Security"},{"issue":"5","key":"key2023032304443968700_ref041","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1080\/10810730.2019.1632990","article-title":"The effects of news coverage of epidemics on public support for and compliance with the CDC\u2013An experimental study","volume":"24","year":"2019","journal-title":"Journal of Health Communication"},{"issue":"4","key":"key2023032304443968700_ref042","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1177\/15404153211020453","article-title":"Impact of COVID-19: a text mining analysis of Twitter data in Spanish language","volume":"19","year":"2021","journal-title":"Hispanic Health Care International"},{"issue":"2","key":"key2023032304443968700_ref043","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1111\/phn.12843","article-title":"Identifying public concerns and reactions during the COVID\u201019 pandemic on Twitter: a text\u2010mining analysis","volume":"38","year":"2021","journal-title":"Public Health Nursing"},{"issue":"5","key":"key2023032304443968700_ref044","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.1016\/j.dsx.2020.06.063","article-title":"Data mining and analysis of scientific research data records on Covid-19 mortality, immunity, and vaccine development-In the first wave of the Covid-19 pandemic","volume":"14","year":"2020","journal-title":"Diabetes & Metabolic Syndrome: Clinical Research & Reviews"},{"key":"key2023032304443968700_ref045","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.envsoft.2017.12.012","article-title":"A novel search algorithm for quantifying news media coverage as a measure of environmental issue salience","volume":"101","year":"2018","journal-title":"Environmental Modelling & Software"},{"key":"key2023032304443968700_ref046","first-page":"1","article-title":"Automatic keyword extraction from individual documents","volume":"1","year":"2010","journal-title":"Text Mining: Applications and Theory"},{"issue":"1","key":"key2023032304443968700_ref047","article-title":"Mapping change in large networks","volume":"5","year":"2010","journal-title":"PloS One"},{"issue":"9","key":"key2023032304443968700_ref048","article-title":"Media bias exposure and the incidence of COVID-19 in the USA","volume":"6","year":"2021","journal-title":"BMJ Global Health"},{"issue":"6","key":"key2023032304443968700_ref049","article-title":"Framework for managing the COVID-19 infodemic: methods and results of an online, crowdsourced WHO technical consultation","volume":"22","year":"2020","journal-title":"Journal of Medical Internet Research"},{"first-page":"167","article-title":"An investigation of misinformation harms related to social media during humanitarian crises","year":"2019","key":"key2023032304443968700_ref050"},{"issue":"2","key":"key2023032304443968700_ref051","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s11192-009-0146-3","article-title":"Software survey: VOSviewer, a computer program for bibliometric mapping","volume":"84","year":"2010","journal-title":"Scientometrics"},{"issue":"2","key":"key2023032304443968700_ref052","doi-asserted-by":"crossref","first-page":"475","DOI":"10.17645\/mac.v8i2.3200","article-title":"Empowering users to respond to misinformation about Covid-19","volume":"8","year":"2020","journal-title":"Media and Communication (Lisboa)"},{"year":"2020","key":"key2023032304443968700_ref053","article-title":"Conceptualizing COVID-19 and public panic with the moderating role of media use and uncertainty in China: an empirical framework"},{"issue":"6","key":"key2023032304443968700_ref054","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1177\/0093650215573861","article-title":"The sky is falling: predictors of news coverage of natural disasters worldwide","volume":"45","year":"2018","journal-title":"Communication Research"},{"key":"key2023032304443968700_ref055","article-title":"Impact of media reports on the early spread of COVID-19 epidemic","volume":"502","year":"2020","journal-title":"Journal of Theoretical Biology"},{"issue":"2","key":"key2023032304443968700_ref056","doi-asserted-by":"crossref","first-page":"36","DOI":"10.5539\/ijel.v11n2p36","article-title":"A corpus-based critical discourse analysis of news reports on the COVID-19 pandemic in China and the UK","volume":"11","year":"2021","journal-title":"International Journal of English Linguistics"},{"issue":"10225","key":"key2023032304443968700_ref057","article-title":"How to fight an infodemic","volume":"395","year":"2020","journal-title":"The Lancet"},{"key":"key2023032304443968700_ref058","article-title":"A critical analysis of COVID-19 research literature: text mining approach","volume":"5","year":"2021","journal-title":"Intelligence-based Medicine"},{"key":"key2023032304443968700_ref059","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1007\/s11192-020-03531-4","article-title":"How scientific research reacts to international public health emergencies: a global analysis of response patterns","volume":"124","year":"2020","journal-title":"Scientometrics"},{"issue":"10","key":"key2023032304443968700_ref060","article-title":"Media trust and infection mitigating behaviours during the COVID-19 pandemic in the USA","volume":"5","year":"2020","journal-title":"BMJ Global Health"},{"issue":"6","key":"key2023032304443968700_ref061","article-title":"Promoting users\u2019 intention to share online health articles on social media: the role of confirmation bias","volume":"57","year":"2020","journal-title":"Information Processing and Management"},{"issue":"23","key":"key2023032304443968700_ref501","article-title":"The Crisis of public health and infodemic: analyzing belief structure of fake news about COVID-19 pandemic","volume":"12","year":"2020","journal-title":"Sustainability"},{"issue":"11","key":"key2023032304443968700_ref502","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","year":"2008","journal-title":"Journal of Machine Learning Research"}],"container-title":["Aslib Journal of Information Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/AJIM-05-2022-0264\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/AJIM-05-2022-0264\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T23:00:49Z","timestamp":1753398049000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ajim\/article\/75\/2\/407-429\/60663"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,29]]},"references-count":61,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,8,29]]},"published-print":{"date-parts":[[2023,3,23]]}},"alternative-id":["10.1108\/AJIM-05-2022-0264"],"URL":"https:\/\/doi.org\/10.1108\/ajim-05-2022-0264","relation":{},"ISSN":["2050-3806"],"issn-type":[{"type":"print","value":"2050-3806"}],"subject":[],"published":{"date-parts":[[2022,8,29]]}}}