Foundations of statistical natural language processing
Foundations of statistical natural language processing
Natural Language Processing with Python
Natural Language Processing with Python
Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Sociology of Hyperlink Networks of Web 1.0, Web 2.0, and Twitter: A Case Study of South Korea
Social Science Computer Review
Twitter: The Electoral Connection?
Social Science Computer Review
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The aim of the current paper is to formulate a conception of pragmatic patterns characterizing the construction of individual and collective identities in virtual communities (in our case: the Twitter community). We have explored several theoretical approaches and frameworks and relevant empirical data to show that the agents building virtual communities are 'extended selves' grounded in a highly dynamic and compressed, linguistically mediated virtual network structure. Our empirical evidence consists of a study of discourse related to the Latvian parliamentary elections of 2010. We used a Twitter corpus (in Latvian) harvested and statistically evaluated using the Pointwise Mutual Information (PMI) algorithm and complemented with qualitative and quantitative content analysis. Special emphasis is given to opinion leaders (journalists, politicians, public relations specialists, academics etc.) in Twitter communication, instead of attempting to cover the entire body of discourse including all Twitter participants.