Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource.
Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource.
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DOI：
10.2196/28253
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发表时间：
2021-06-02
影响因子：
7.4
通讯作者：
Bhatt S
中科院分区：
文献类型：
--
作者：
Krawczyk K;Chelkowski T;Laydon DJ;Mishra S;Xifara D;Gibert B;Flaxman S;Mellan T;Schwämmle V;Röttger R;Hadsund JT;Bhatt S
在有效疫苗问世之前，戴口罩、保持社交距离和封锁等非药物干预措施一直是抗击COVID-19大流行的主要措施。在全民高度遵守的情况下，这些措施非常有效，因为这需要提供有关大流行病目前构成的风险的信息，同时明确说明现有的规则和准则。在这里，我们分析了在线新闻媒体对COVID-19的报道。我们量化了COVID-19文章的总量、它们的情绪两极分化和主要子主题，以作为参考，为未来的传播策略提供信息。我们从11个国家的172个主要在线新闻来源的头版上收集了2600万篇新闻文章（可在SciRide上在线获取）。通过主题检测，我们确定了与covid -19相关的内容，以量化2020年大流行收到的总覆盖率的比例。采用情绪分析工具Vader对COVID-19报告的情绪极性进行分层。进一步对COVID-19报道进行主题检测和情绪分析，揭示大流行报道的主要主题及其各自的情绪两极分化。我们发现，2020年1月至10月，COVID-19的报道约占所有头版在线新闻文章的25.3%。对英语消息来源的情绪分析显示，COVID-19的总体报道并不完全是消极的两极分化，这表明对大流行的报道存在广泛的异质性。在这种异质性报道中，16%的COVID-19新闻文章（或所有英语文章的4%）可归类为高度负面极化，引用了死亡、恐惧或危机等问题。COVID-19公共卫生沟通的目标是增加对距离规则的理解，并最大限度地发挥政府政策的影响。来自不同传播渠道（如社交媒体、政府网页和新闻）的信息的数量和质量在多大程度上影响公众对公共卫生措施的理解，仍有待确定。我们得出的结论是，2020年所有报告中有四分之一涉及COVID-19，这表明信息过载。在这方面，我们的数据和分析构成了定量基础，为传统新闻媒体渠道的卫生传播战略提供信息，以便在开展疫苗接种期间最大限度地降低COVID-19的风险。
Before the advent of an effective vaccine, nonpharmaceutical interventions, such as mask-wearing, social distancing, and lockdowns, have been the primary measures to combat the COVID-19 pandemic. Such measures are highly effective when there is high population-wide adherence, which requires information on current risks posed by the pandemic alongside a clear exposition of the rules and guidelines in place. Here we analyzed online news media coverage of COVID-19. We quantified the total volume of COVID-19 articles, their sentiment polarization, and leading subtopics to act as a reference to inform future communication strategies. We collected 26 million news articles from the front pages of 172 major online news sources in 11 countries (available online at SciRide). Using topic detection, we identified COVID-19–related content to quantify the proportion of total coverage the pandemic received in 2020. The sentiment analysis tool Vader was employed to stratify the emotional polarity of COVID-19 reporting. Further topic detection and sentiment analysis was performed on COVID-19 coverage to reveal the leading themes in pandemic reporting and their respective emotional polarizations. We found that COVID-19 coverage accounted for approximately 25.3% of all front-page online news articles between January and October 2020. Sentiment analysis of English-language sources revealed that overall COVID-19 coverage was not exclusively negatively polarized, suggesting wide heterogeneous reporting of the pandemic. Within this heterogenous coverage, 16% of COVID-19 news articles (or 4% of all English-language articles) can be classified as highly negatively polarized, citing issues such as death, fear, or crisis. The goal of COVID-19 public health communication is to increase understanding of distancing rules and to maximize the impact of governmental policy. The extent to which the quantity and quality of information from different communication channels (eg, social media, government pages, and news) influence public understanding of public health measures remains to be established. Here we conclude that a quarter of all reporting in 2020 covered COVID-19, which is indicative of information overload. In this capacity, our data and analysis form a quantitative basis for informing health communication strategies along traditional news media channels to minimize the risks of COVID-19 while vaccination is rolled out.
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DOI：
10.1016/j.ijmedinf.2008.03.002
发表时间：
2008-11-01
影响因子：
4.9
作者：
Lemire, Marc;Pare, Guy;Harvey, Charmian
通讯作者：
Harvey, Charmian
影响因子：
3.9
作者：
Berry, Tanya R.;Wharf-Higgins, Joan;Naylor, P. J.
通讯作者：
Naylor, P. J.
DOI：
10.1056/nejmp0900702
发表时间：
2009-05-21
期刊：
The New England journal of medicine
影响因子：
--
作者：
Brownstein JS;Freifeld CC;Madoff LC
通讯作者：
Madoff LC
影响因子：
1.9
作者：
Hyafil, Alexandre;Moriña, David
通讯作者：
Moriña, David
DOI：
10.3390/ijerph17155503
发表时间：
2020-08-01
影响因子：
--
作者：
Okan, Orkan;Bollweg, Torsten Michael;Schaeffer, Doris
通讯作者：
Schaeffer, Doris