Tag Archives: lag time

Academics flock to research the Occupy movement

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A New York Times article suggests a number of academics have seized the opportunity presented by the Occupy movement to not only teach about but also research the protests:

“This thing just erupted so quickly,” said Alex S. Vitale, a sociologist at Brooklyn College who studies the policing of demonstrations. “It’s almost overwhelming to deal with all the information that’s out there.”

Mr. Vitale is finishing a 10-city study of interactions between protesters and the police since last fall, which he said showed a lack of overall “militarization” in police response in major cities. (New York is an exception, said Mr. Vitale, who organized a demonstration against police tactics in Zuccotti Park last fall but said he did not consider himself part of the Occupy movement.) Other researchers are doing ethnographic studies, crunching survey data, recording oral histories and analyzing material by and about the movement, all at lightning speed compared with the usual pace of scholarship.

“Academics are used to taking forever, but we don’t have to,” said Theda Skocpol, a sociologist at Harvard and author, with Vanessa Williamson, of “The Tea Party and the Remaking of Republican Conservatism,” a study of Occupy’s right-wing counterpart published in January…

Some researchers also say that the sympathy many academics feel for the movement risks undermining objective research.

It will be very interesting to see the research and then the resulting discussions.

This highlights a larger issue in academia: the common lag time between events and publishable research. This can often take a few years as researchers quickly draw up plans, collect data, analyze it, and then work through the review process. I imagine there will be some pressure to get some of this Occupy research going more quickly, perhaps with an interest in more quickly addressing and understanding this phenomenon and with the idea of capitalizing on political momentum. Could this change how research is presented and considered in the future? Work could be published in web or open source journals. What about books that are rushed into print or even more timely, e-books?

Claim: “Facebook knows when you’ll break up”

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There is an interesting chart going around that is based on Facebook data and claims to show when people are more prone to break-up. Here is a quick description of the chart:

British journalist and graphic designer David McCandless, who specializes in showcasing data in visual ways, compiled the chart. He showed off the graphic at a TED conference last July in Oxford, England.

In the talk, McCandless said he and a colleague scraped 10,000 Facebook status updates for the phrases “breakup” and “broken up.”

They found two big spikes on the calendar for breakups. The first was after Valentine’s Day — that holiday has a way of defining relationships, for better or worse — and in the weeks leading up to spring break. Maybe spring fever makes people restless, or maybe college students just don’t want to be tied down when they’re partying in Cancun.

Potentially interesting findings and it is an interesting way to present this data. But when you consider how the data was collected, perhaps it isn’t so great. A few thoughts on the subject:

1. The best way to figure this out would be to convince Facebook to let you have the data for relationship status changes.

2. Searching for the word “breakup” and “broken up” might catch some, or perhaps even many ended relationships, but not all. Does everyone include these words when talking about ending a relationship?

3. Are 10,000 status updates a representative sample of all Facebook statuses?

4. Is there a lag time involved in reporting these changes? Monday, for example is the most popular day for announcing break-ups, not necessarily for break-ups occurring on that day. Do people immediately run to Facebook to tell the world that they have ended a relationship?

5. Does everyone initially “register” and then “unregister” a relationship on Facebook anyway?

The more I think about it, it is a big claim to make that “Facebook knows when you are going to break up” based on this data mining exercise.