TWITTER VS. PRINTED ENGLISH: AN INFORMATION-THEORETIC COMPARISON

被引：0

作者：

Glennon, Emma ^{[1
]}

Sankar, Lalitha ^{[1
]}

Poor, H. Vincent ^{[1
]}

机构：

[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2012年

关键词：

Twitter; computer mediated communication; information theory; information entropy; redundancy;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The popular social networking and microblogging service Twitter contains language that is very different from what is considered proper. This paper quantifies those linguistic differences between printed English and Tweetspeak using information-theoretic concepts. Letter-based n-gram entropies are calculated and compared to analagous data from two corpora of printed English to demonstrate that 1) Twitter's entropy is overall higher than that of printed English, and 2) individual users' entropies are on average higher the less conventional their language use is. The implications for digitally-mediated communication in general are also discussed.

引用

页码：3069 / 3072

页数：4

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