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PUBLIC RELEASE DATE:
6-Jan-2011

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Contact: Byron Spice
bspice@cs.cmu.edu
412-268-9068
Carnegie Mellon University
@CMUScience

CMU research finds regional dialects are alive and well on Twitter

Slang terms like y'all, yinz, koo, coo and suttin predict location of tweet authors

PITTSBURGH--Microbloggers may think they're interacting in one big Twitterverse, but researchers at Carnegie Mellon University's School of Computer Science find that regional slang and dialects are as evident in tweets as they are in everyday conversations.

Postings on Twitter reflect some well-known regionalisms, such as Southerners' "y'all," and Pittsburghers' "yinz," and the usual regional divides in references to soda, pop and Coke. But Jacob Eisenstein, a post-doctoral fellow in CMU's Machine Learning Department, said the automated method he and his colleagues have developed for analyzing Twitter word use shows that regional dialects appear to be evolving within social media.

In northern California, something that's cool is "koo" in tweets, while in southern California, it's "coo." In many cities, something is "sumthin," but tweets in New York City favor "suttin." While many of us might complain in tweets of being "very" tired, people in northern California tend to be "hella" tired, New Yorkers "deadass" tired and Angelenos are simply tired "af."

The "af" is an acronym that, like many others on Twitter, stands for a vulgarity. LOL is a commonly used acronym for "laughing out loud," but Twitterers in Washington, D.C., seem to have an affinity for the cruder LLS.

Eisenstein said some of this usage clearly is shaped by the 140-character limit of Twitter messages, but geography's influence also is apparent. The statistical model the CMU team used to recognize regional variation in word use and topics could predict the location of a microblogger in the continental United States with a median error of about 300 miles.

Eisenstein will present the study on Jan. 8 at the Linguistic Society of America annual meeting in Pittsburgh. The paper is available online at http://people.csail.mit.edu/jacobe/papers/emnlp2010.pdf.

Studies of regional dialects traditionally have been based primarily on oral interviews, Eisenstein said, noting that written communication often is less reflective of regional influences because writing, even in blogs, tends to be formal and thus homogenized. But Twitter offers a new way of studying regional lexicon, he explained, because tweets are informal and conversational. Furthermore, people who tweet using mobile phones have the option of geotagging their messages with GPS coordinates.

For this study, Eisenstein and his co-authors -- Eric P. Xing, associate professor of machine learning, Noah A. Smith, assistant professor in the Language Technologies Institute (LTI), and Brendan O'Connor, machine learning graduate student -- collected a week's worth of Twitter messages in March 2010, and selected geotagged messages from Twitter users who wrote at least 20 messages. That yielded a data base of 9,500 users and 380,000 messages.

Though the researchers could pinpoint the users' locations using the geotags, they can only guess as to their profiles. Eisenstein said it's reasonable to assume that people sending lots of tweets from mobile phones are younger than the average Twitter user and the topics discussed by these users seem to reflect that.

Automated analysis of Twitter message streams offers linguists an opportunity to watch regional dialects evolve in real time. "It will be interesting to see what happens. Will 'suttin' remain a word we see primarily in New York City, or will it spread?" Eisenstein asked.

It might be a mistake to assume that the greater interconnectivity afforded by computer networks and sites such as Twitter will necessarily result in more homogeneity in language. The social circles maintained by social networks such as Twitter often are geographically focused, he noted. Also, many people use the Internet to seek out like-minded people with similar interests, rather than expose themselves to a broader range of ideas and experiences.

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The research was supported, in part, by funding from Google, the Air Force Office of Scientific Research, the Office of Naval Research, the National Science Foundation and the Alfred P. Sloan Foundation.

Follow the School of Computer Science on Twitter @SCSatCMU.

About Carnegie Mellon University: Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 11,000 students in the university's seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon's main campus in the United States is in Pittsburgh, Pa. It has campuses in California's Silicon Valley and Qatar, and programs in Asia, Australia, Europe and Mexico. The university is in the midst of a $1 billion fundraising campaign, titled "Inspire Innovation: The Campaign for Carnegie Mellon University," which aims to build its endowment, support faculty, students and innovative research, and enhance the physical campus with equipment and facility improvements.



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