publication . Conference object . Other literature type . 2018

Social Cues, Social Biases: Stereotypes in Annotations on People Images

Otterbacher, Jahna;
Open Access English
  • Published: 08 Jul 2018
  • Publisher: AAAI Press
Abstract
Human computation is often subject to systematic biases. We consider the case of linguistic biases and their consequences for the words that crowd workers use to describe people images in an annotation task. Social psychologists explain that when describing others, the subconscious perpetuation of stereotypes is inevitable, as we describe stereotype-congruent people and/or in-group members more abstractly than others. In an MTurk experiment we show evidence of these biases, 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 r...
Subjects
free text keywords: linguistic biases, social stereotypes, social cues, social biases
Funded by
EC| RISE
Project
RISE
Research Center on Interactive Media, Smart System and Emerging Technologies
  • Funder: European Commission (EC)
  • Project Code: 739578
  • Funding stream: H2020 | SGA-CSA
Download fromView all 3 versions
ZENODO
Conference object . 2018
Provider: ZENODO
Zenodo
Other literature type . 2018
Provider: Datacite
Zenodo
Other literature type . 2018
Provider: Datacite
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue