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1
TED and YouTube Video Dataset ...
Kleanthous, Stella; Otterbacher, Jahna. - : Harvard Dataverse, 2021
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2
Linguistic Bias in Crowdsourced Biographies A Cross-lingual Examination ...
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3
Linguistic Bias in Crowdsourced Biographies A Cross-lingual Examination ...
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4
Can the crowd tell how I feel? Trait empathy and ethnic background in a visual pain judgment task [<Journal>]
Matsangidou, Maria [Verfasser]; Otterbacher, Jahna [Sonstige]; Ang, Chee Siang [Sonstige].
DNB Subject Category Language
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5
Social Cues, Social Biases: Stereotypes in Annotations on People Images ...
Otterbacher, Jahna. - : Zenodo, 2018
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6
Social Cues, Social Biases: Stereotypes in Annotations on People Images ...
Otterbacher, Jahna. - : Zenodo, 2018
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7
Social Cues, Social Biases: Stereotypes in Annotations on People Images
In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol. 6 No. 1 (2018): Sixth AAAI Conference on Human Computation and Crowdsourcing (2018)
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8
The Impact of News Values and Linguistic Style on the Popularity of Headlines On Twitter and Facebook
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2017)
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9
Similar Gaps, Different Origins? Women Readers and Editors at Greek Wikipedia
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)
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10
Social and Linguistic Behavior and its Correlation to Trait Empathy
Litvak, Marina; Otterbacher, Jahna; Ang, Chee Siang. - : Association for Computational Linguistics, 2016
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11
Show Me You Care: Trait Empathy, Linguistic Style and Mimicry on Facebook
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
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12
Linguistic Bias in Collaboratively Produced Biographies: Crowdsourcing Social Stereotypes?
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2015)
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13
Write Like I Write: Herding in the Language of Online Reviews
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 8 No. 1 (2014): Eighth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2014)
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14
MEAD - A Platform for Multidocument Multilingual Text Summarization
Radev, Dragomir R.; Allison, Timothy; Blair-Goldensohn, Sasha. - : Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), 2004
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15
MEAD - A Platform for Multidocument Multilingual Text Summarization ...
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