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    • Otterbacher, Jahna (3)
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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 – 3 of 3 1 Similar Gaps, Different Origins? Women Readers and Editors at Greek Wikipedia Protonotarios, Ioannis; Sarimpei, Vasiliki; Otterbacher, Jahna In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2016) BASE Show details 2 Social and Linguistic Behavior and its Correlation to Trait Empathy Litvak, Marina; Otterbacher, Jahna; Ang, Chee Siang. - : Association for Computational Linguistics, 2016 BASE Show details 3 Show Me You Care: Trait Empathy, Linguistic Style and Mimicry on Facebook Otterbacher, Jahna; Ang, Chee Siang; Litvak, Marina; Atkins, David. - : ACM, 2016 Abstract: Linguistic mimicry, the adoption of another’s language patterns, is a subconscious behavior with pro-social benefits. However, some professions advocate its conscious use in empathic communication. This involves mutual mimicry; effective communicators mimic their interlocutors, who also mimic them back. Since mimicry has often been studied in face-to-face contexts, we ask whether individuals with empathic dis- positions have unique communication styles and/or elicit mimicry in mediated communication on Facebook. Participants completed Davis’ Interpersonal Reactivity Index and provided access to Facebook activity. We confirm that dispositional empathy is correlated to the use of particular stylistic features. In addition, we identify four empathy profiles and find correlations to writing style. When a linguistic feature is used, this often “triggers” use by friends. However, the presence of particular features, rather than participant dispo- sition, best predicts mimicry. This suggests that machine-human communications could be enhanced based on recently used features, without extensive user profiling. Keyword: QA Mathematics (inc Computing science) URL: https://kar.kent.ac.uk/57425/1/Empathy-Mimicry-Final-2.pdf https://kar.kent.ac.uk/57425/ https://doi.org/10.1145/2996188 BASE Hide details

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