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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)
Abstract: Human computation is often subject to systematic biases. We consider the case of linguistic biases and their consequences for the words that crowdworkers use to describe people images in an annotation task. Social psychologists explain that when describing oth- ers, the subconscious perpetuation of stereotypes is in- evitable, as we describe stereotype-congruent people and/or in-group members more abstractly than others. In an MTurk experiment we show evidence of these bi- ases, which are exacerbated when an image’s “popular tags” are displayed, a common feature used to provide social information to workers. Underscoring recent calls for a deeper examination of the role of training data quality in algorithmic biases, results suggest that it is rather easy to sway human judgment.
Keyword: data quality; language; linguistic biases; social stereotypes
URL: https://ojs.aaai.org/index.php/HCOMP/article/view/13320
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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
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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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