Researchers use Twitter to predict crime

• Published: 20 Apr 2014 at 09.49
http://www.bangkokpost.com/news/world/405729/researchers-use-twitter-to-predict-crime


Hidden in the Twittersphere are nuggets of information that could prove
useful to crime fighters -- even before a crime has been committed.


File picture shows an official Twitter account on a smartphone

Researchers at the University of Virginia demonstrated tweets could predict
certain kinds of crimes if the correct analysis is applied.

A research paper published in the scientific journal Decision Support
Systems last month said the analysis of geo-tagged tweets can be useful in
predicting 19 to 25 kinds of crimes, especially for offenses such as
stalking, thefts and certain kinds of assault.

The results are surprising, especially when one considers that people
rarely tweet about crimes directly, said lead researcher Matthew Gerber of
the university's Predictive Technology Lab.

Gerber said even tweets that have no direct link to crimes may contain
information about activities often associated with them.

"What people are tweeting about are their routine activities," Gerber told
AFP. "Those routine activities take them into environments where crime is
likely to happen.

"So if I tweet about getting drunk tonight, and a lot of people are talking
about getting drunk, we know there are certain crimes associated with those
things that produce crimes. It's indirect."

For the study, Gerber and his colleagues analyzed tweets from the city of
Chicago tagged to certain neighborhoods -- measured by individual square
kilometers -- and the city's crime database.

They then looked forward and were able to make useful predictions about
areas where certain crimes were likely to occur -- something which could be
helpful in deployment of police resources.

"This approach allows the analyst to rapidly visualize and identify areas
with historically high crime concentrations," said the study.

"Future crimes often occur in the vicinity of past crimes, making hot-spot
maps a valuable crime prediction tool."

In recent years, the idea of "predictive policing" has gained momentum,
with police departments relying on "big data" analytics from companies such
as IBM.

This research comes on the heels of other studies showing how tweets can be
analyzed to predict elections, disease outbreaks and other important events.

- 'I send our algorithms' -

Gerber said Twitter data can be relatively easy to use because tweets are
publicly available, and many of them are tagged with location information.

In addition, researchers, themselves, do not need to go into the high-crime
areas to study the information.

Instead, "I send our algorithms to these locations and see what people are
talking about," Gerber said.

"The computer algorithm learns the pattern and produces a prediction."

The study was funded by the US Army, which Gerber said uses similar
techniques to determine threats in places such as Iraq and Afghanistan.

There are limitations, Gerber notes. Adequate historical data is needed,
and some kinds of crimes, such as kidnapping and arson, may not fall into
the same patterns of predictability, for reasons the researchers could
not explain.

Still, he said the New York police department has already contacted him,
and he has begun to review data from that city to determine if the results
from Chicago can be replicated.

He hopes to be able to draw on information from other social media to see
if they can help improve the predictions.

An important goal, ultimately, is to figure out if the technique can be
used in a very practical way.

"We did not address whether this reduces crime," he said. "That's one of
the next steps."




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