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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Confounds and Consequences in Geotagged Twitter Data ... Pavalanathan, Umashanthi; Eisenstein, Jacob. - : arXiv, 2015 BASE Show details 2 Overcoming Language Variation in Sentiment Analysis with Social Attention ... Yang, Yi; Eisenstein, Jacob. - : arXiv, 2015 BASE Show details 3 Better Document-level Sentiment Analysis from RST Discourse Parsing ... Bhatia, Parminder; Ji, Yangfeng; Eisenstein, Jacob. - : arXiv, 2015 BASE Show details 4 AUDIENCE-MODULATED VARIATION IN ONLINE SOCIAL MEDIA Pavalanathan, Umashanthi; Eisenstein, Jacob. - : Duke University Press, 2015 Abstract: Stylistic variation in online social media writing is well attested: for example, geographical analysis of the social media service Twitter has replicated isoglosses for many known lexical variables from speech, while simultaneously revealing a wealth of new geographical lexical variables, including emoticons, phonetic spellings, and phrasal abbreviations. However, less is known about the social role of variation in online writing. This article examines online writing variation in the context of audience design, focusing on affordances offered by Twitter that allow users to modulate a message's intended audience. We find that the frequency of nonstandard lexical variables is inversely related to the size of the intended audience: as writers target smaller audiences, the frequency of lexical variables increases. In addition, these variables are more often used in messages that are addressed to individuals who are known to be geographically local. This phenomenon holds not only for geographically differentiated lexical variables, but also for nonstandard variables that are widely used throughout the United States. These findings suggest that users of social media are attuned to both the nature of their audience and the social meaning of lexical variation and that they customize their self-presentation accordingly. Keyword: Articles URL: https://doi.org/10.1215/00031283-3130324 http://americanspeech.dukejournals.org/cgi/content/short/90/2/187 BASE Hide details

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