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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.

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Slopes of utterance length quartiles temporal regression lines.Visualization of Table 1.
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pone-0077793-g004: Slopes of utterance length quartiles temporal regression lines.Visualization of Table 1.

Mentions: As expected the linear regression line of the median (2nd quartile) is not at the middle of Q1 and Q3 regression lines because the utterance length distributions are skewed. The regression line of Q1 (Table 1 and Fig. 4, all) is less steep than the regression line for the median, which, in turn, is less steep than the regression line for Q3. The shortening of utterances is, therefore, mostly due to the decreased occurrence of longer utterance lengths rather than the shifting of the whole utterance length distributions to the left.


Spatio-temporal variation of conversational utterances on Twitter.

Alis CM, Lim MT - PLoS ONE (2013)

Slopes of utterance length quartiles temporal regression lines.Visualization of Table 1.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0077793-g004: Slopes of utterance length quartiles temporal regression lines.Visualization of Table 1.
Mentions: As expected the linear regression line of the median (2nd quartile) is not at the middle of Q1 and Q3 regression lines because the utterance length distributions are skewed. The regression line of Q1 (Table 1 and Fig. 4, all) is less steep than the regression line for the median, which, in turn, is less steep than the regression line for Q3. The shortening of utterances is, therefore, mostly due to the decreased occurrence of longer utterance lengths rather than the shifting of the whole utterance length distributions to the left.

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
Related in: MedlinePlus