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Johns Hopkins Taps Twitter to Measure Success of Social Distancing

April 6, 2020
CONTACT: Jill Rosen
Cell: 443-547-8805
jrosen@jhu.edu jhunews@jhu.edu

By comparing Twitter data from before and after the COVID-19 outbreak, Johns Hopkins University researchers found a profound impact on the movement of Americans – indicating social distancing recommendations are having an effect.

A team lead by computer scientist Mark Dredze created the Twitter Social Mobility Index by measuring public geotagged data from Twitter, tweets to which users attach their current location, from March 16 to March 29 and compared it to similar data from Jan. 1, 2019 to March 16, 2020. They found that movement of Americans during the COVID-19 outbreak dropped significantly — to just 52% percent of what it had been. In some states, people’s movement did not change as much but in others, particularly those with firm social distancing measures in place, the reductions were much more dramatic.

Since the pandemic, municipalities, states and the federal government have initiated directives to limit travel, stay home and distance ourselves to flatten the curve and slow the spread of the virus.

“The question though is how effective are these policies? Once you tell people to stay home, it doesn’t mean everyone listens,” Dredze said. “It’s important for us to understand on an ongoing basis if people are actually listening to these directives. But how do you know people are staying put? We’re trying to find ways to do this that are efficient and timely.”

Dredze and Paiheng Xu, a master’s student in Computer Science, studied Twitter location data, information collected when people tag Tweets with a location or when they check in at locations like restaurants, shopping centers, offices and parks. About 3% of all tweets in the United States include this data, so it’s a massive amount of information over time. Their analysis examined 3.7 million users with almost 400 million tweets.

They found people’s movement in the U.S. dropped by half since the outbreak started, with large reductions seen throughout the country. In Maryland, a state with strong social distancing measures, people were traveling just 43% percent of what they had been before the pandemic.

When ranking reductions in social mobility among all the states, Maryland ranked 5th (out of 51). The District of Columbia was 1st and  Virginia was 16th. In contrast, states without statewide orders ranked low on the list: Arkansas (37th), Iowa (48nd), Nebraska (29th), North Dakota (13th), South Carolina (34th), South Dakota (39th), Oklahoma (50th), Utah (17th), Wyoming (51st). (Full list of state rankings available here.)

Looking at each week for the past 15 months, the last two weeks have the lowest Social Mobility Index since tracking began.

This work is related to similar efforts by Google and others in making data available on social mobility. “A key advantage in our analysis is that the underlying Twitter data is publicly available, so others can study additional aspects of social distancing” said David Broniatowski, a study team member and associate professor of engineering management and systems engineering at George Washington University.

The full results of the study are available here: http://socialmobility.covid19dataresources.org. The team plans to continue the study and update the results in coming weeks and months.

“We want to continue to track this to see if people’s movement will continue to drop or if people will people get fed up with staying home and start moving around again,” Dredze said. “Understanding these behaviors will be important for decision-makers and public health researchers.”

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