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Dewaele and Furnham predict that in oral language Extraverts prefer to produce what they term implicit language. They use: more pronouns, adverbs and verbs; and fewer nouns, adjectives and prepositions. However, communication in a computer-mediated environment, such as e-mail, might disrupt these preferences. Also, other personality dimensions , such as(More)
To what extent does the wording and syntactic form of people's writing reflect their personalities? Using a bottom-up stratified corpus comparison, rather than the top-down content analysis techniques that have been used before, we examine a corpus of e-mail messages elicited from individuals of known personality, as measured by the Eysenck Personality(More)
We investigate the impact of computer-mediated interaction on person perception. In particular, we study how traits important for socialisation and collaboration—Extraversion and Neuroticism—can be detected from the text of an e-mail communication. We have previously shown how Extraver-sion influences people's language production in electronic(More)
We are interested in generating text in a way which helps convey the writer's personality. This has led us to consider the relationship between language production and personality from a Marrian perspective. We already have data to be covered at the computational level (comparative corpus analysis). We consider that findings at the implementation level(More)
Electronic media are pervasive in daily communication. But how well can personality traits be perceived through a short e-mail message? Working independently and under experimenter supervision, thirty judges each rated 18 short e-mail texts. These texts were written under experimental conditions by authors of known personality, who briefly described their(More)
Emotion is central to human interactions, and automatic detection could enhance our experience with technologies. We investigate the linguistic expression of fine-grained emotion in 50 and 200 word samples of real blog texts previously coded by expert and naive raters. Content analysis (LIWC) reveals angry authors use more affective language and negative(More)
Personal weblogs (blogs), provide individuals with the opportunity to write freely and express themselves online in the presence of others. In such situations, what do bloggers write about, and what are their motivations for blogging? Using a large blog corpus annotated with the LIWC text analysis program, we examine the content of blogs to provide insight(More)