Online News Summary
Below is a visual dashboard summary of global online news media coverage of your search, updated to 15 minutes ago. Refresh this page again in 15 minutes to see the most recent updates. Displays work best in Google Chrome.
More Info.
All visualizations are powered by the GDELT Project's DOC 2.0 and GEO 2.0 APIs - technical users will find "export" options on each of the visualizations on this page that allows them to download the underlying CSV/JSON/GeoJSON data for further visualization/analysis and to view the HTML code that allows them to embed each individual visualization on their own web page - the embedded visualization will update each time it is viewed/refreshed to display the most recent data as of 15 minutes prior.
Search Details
The displays on this page summarize coverage returned by the following search:
Data Source: Global Online News Coverage
Human Summary: (coronavirus OR covid OR virus) AND (death OR deaths OR dead OR died OR die OR fatality OR fatalities OR mortality) AND SourceLanguage:English AND PublicationDate>=1/1/2020
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Volume Timeline
The timeline below shows the percent of all global online news coverage monitored by GDELT over the given day/hour that matched your query, allowing you to trace how attention to your topic has changed over time and whether it is increasing or decreasing. (Note that even if you have limited your search to a particular country or language, the results are still reported as a percent of all online media monitored by GDELT, not just the media from that country/language, so in practice you should focus on how the timeline changes over time, rather than the precise percentage at any given point in time).
Move your mouse over the timeline to see the value for a given day/hour. You can also zoom into a particular time period by clicking on the timeline and dragging to the right or left to select that date/time range. The entire GDELT Summary display will then refresh to reflect just coverage from that zoomed-in time period (though maps will be unchanged and still show the last 24 hours of data). In this way, if you see a large peak in coverage on a particular day, you can zoom in and see what that coverage focused on and where it came from.
Click on the Export button at the top right of the visualization to save it as an image, download the underlying data as CSV/JSON for further statistical analysis or get the code to embed it on your own web page.
Tone Barchart
The tone barchart below is a unique display that takes all matching coverage monitored by GDELT over the selected time period, computes the document-level tone of each article (ie, the tone of the article as a whole rather than the tone just refering to your keywords) and bins them into a histogram/barchart that ranges from extremely negative on the left to extremely positive on the right.
Traditional sentiment analysis tools tend to report average tone as a single number, such as "The average tone of Putin-related articles is '-4'". Reducing millions of matching articles to a single number isn't very helpful, as that doesn't tell you whether most of that Putin-related coverage hovered around -4 or whether coverage was largely stratified at extremely negative and extremely positive and -4 just happened to be the average of those scores. Instead, this tone barchart display shows you the actual histogram distribution so you can see where most of the coverage is clustered.
You can mouse over each bar to see a few of the top most relevant matching articles that were scored with that tone level, letting you instantly skim coverage from very negative to very positive. Clicking any link will open it in a new browser window. Note that tone is calculated at the level of the entire document, rather than just the tone relating to your keyword - hence a search for a given person/organization will return the average tone of the entirety of the articles mentioning that person, rather than the tone of just the sentences mentioning that person/organization.
Click on the Export button at the top right of the visualization to save it as an image, download the underlying data as CSV/JSON for further statistical analysis or get the code to embed it on your own web page.
Top Articles
Below is a short list of some of the most relevant coverage that matched your search. If the article included an editorially-selected display image (the news outlet embedded special HTML code in the article declaring an image to show when sharing or linking to the article), it will be displayed beside it. Note that the images shown are those editorially selected by the publisher of each article and do not reflect any image-specific search terms you applied. Clicking any link will open it in a new browser window. If a URL is no longer accessible, you can try viewing it through the Internet Archive's Wayback Machine web archive.