185 research outputs found

    Understanding user communities from social network data

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    This paper presents an exploratory study, which uses dynamic social network analysis of posts from the Tumblr blogging site relating to the Tate galleries to observe user community change. The findings of this research were presented at the 1st Int. Workshop on Semantic Change & Evolving Semantics (SuCCESS'16) organised by PERICLES partners to explore emerging research in the areas of semantic change and evolving semantics

    Taking care of the linguistic features of extraversion

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    We study how Extraversion or Introversion influences people's language production. A corpus of e-mail texts was gathered from individuals categorised via Eysenck's EPQ-R personality test. One experiment analysed the corpus using existing content analysis tools, and found relatively weak effects of Extraversion. A second experiment used more sensitive bigram-based techniques from statistical natural language processing to replicate earlier findings, and uncover novel patterns of behaviour

    Weblogs, genres and individual differences

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    Blogs are personal online diaries, and a relatively recent form of computer-mediated communication. What kind of writing do they contain? This paper adopts a measure of linguistic contextuality/formality, due to Heylighen and Dewaele, and applies it to a corpus of weblogs. It first compares the corpus with sub-corpora from the British National Corpus, and weblogs are shown to be more formal than e-mail, but less formal than biographies. Then, the paper explores the impact of individual differences between writers on their texts ’ contextuality/formality. It appears that Extraversion and Neuroticism are less influential than previously supposed, and it is argued that gender and Agreeableness account for more of the variability in the extent to which weblo
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