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Spatio-temporal variation of conversational utterances on Twitter.

Alis CM, Lim MT - PLoS ONE (2013)

Bottom Line: Previously, we found that utterance lengths in English fictional conversations in books and movies have shortened over a period of 200 years.Furthermore, the subset of geographically-tagged tweets from the United States show an inverse proportion between utterance lengths and the state-level percentage of the Black population.We argue that shortening of utterances can be explained by the increasing usage of jargon including coined words.

View Article: PubMed Central - PubMed

Affiliation: National Institute of Physics, University of the Philippines, Diliman, Quezon City, Philippines.

ABSTRACT
Conversations reflect the existing norms of a language. Previously, we found that utterance lengths in English fictional conversations in books and movies have shortened over a period of 200 years. In this work, we show that this shortening occurs even for a brief period of 3 years (September 2009-December 2012) using 229 million utterances from Twitter. Furthermore, the subset of geographically-tagged tweets from the United States show an inverse proportion between utterance lengths and the state-level percentage of the Black population. We argue that shortening of utterances can be explained by the increasing usage of jargon including coined words.

Show MeSH
Utterance length distribution over time.First quartile Q1 (square), median Q2 (circle) and third quartile Q3 (triangle) of the A. original dataset, B. after resampling into  utterances per day, C. removing URLs and D. restricting to English tweets.
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pone-0077793-g003: Utterance length distribution over time.First quartile Q1 (square), median Q2 (circle) and third quartile Q3 (triangle) of the A. original dataset, B. after resampling into utterances per day, C. removing URLs and D. restricting to English tweets.

Mentions: Utterance length distributions for tweets aggregated over a 24-hour period that were sampled during Fridays follow the general characteristics of the utterance length distribution for the entire dataset as shown by the representative utterance length distributions in Fig. 2. The right peak of the plots seems to get smaller and shifted to the left as the date becomes more recent, suggesting shortening of utterances over time. This shortening is clearly shown when the quartiles are plotted with respect to time (Fig. 3A). The quartiles roughly follow their corresponding regression line except for 26 Nov 2010, which shows an unexpected spike due to spam.


Spatio-temporal variation of conversational utterances on Twitter.

Alis CM, Lim MT - PLoS ONE (2013)

Utterance length distribution over time.First quartile Q1 (square), median Q2 (circle) and third quartile Q3 (triangle) of the A. original dataset, B. after resampling into  utterances per day, C. removing URLs and D. restricting to English tweets.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3814942&req=5

pone-0077793-g003: Utterance length distribution over time.First quartile Q1 (square), median Q2 (circle) and third quartile Q3 (triangle) of the A. original dataset, B. after resampling into utterances per day, C. removing URLs and D. restricting to English tweets.
Mentions: Utterance length distributions for tweets aggregated over a 24-hour period that were sampled during Fridays follow the general characteristics of the utterance length distribution for the entire dataset as shown by the representative utterance length distributions in Fig. 2. The right peak of the plots seems to get smaller and shifted to the left as the date becomes more recent, suggesting shortening of utterances over time. This shortening is clearly shown when the quartiles are plotted with respect to time (Fig. 3A). The quartiles roughly follow their corresponding regression line except for 26 Nov 2010, which shows an unexpected spike due to spam.

Bottom Line: Previously, we found that utterance lengths in English fictional conversations in books and movies have shortened over a period of 200 years.Furthermore, the subset of geographically-tagged tweets from the United States show an inverse proportion between utterance lengths and the state-level percentage of the Black population.We argue that shortening of utterances can be explained by the increasing usage of jargon including coined words.

View Article: PubMed Central - PubMed

Affiliation: National Institute of Physics, University of the Philippines, Diliman, Quezon City, Philippines.

ABSTRACT
Conversations reflect the existing norms of a language. Previously, we found that utterance lengths in English fictional conversations in books and movies have shortened over a period of 200 years. In this work, we show that this shortening occurs even for a brief period of 3 years (September 2009-December 2012) using 229 million utterances from Twitter. Furthermore, the subset of geographically-tagged tweets from the United States show an inverse proportion between utterance lengths and the state-level percentage of the Black population. We argue that shortening of utterances can be explained by the increasing usage of jargon including coined words.

Show MeSH