Mechanisms of linguistic bias: How words reflect and maintain stereotypic expectancies

By Camiel J. Beukeboom, Vũ, F. Wetenschappen. 2014

74 citations recorded by the source corpus.

Subfields: Natural Language Processing, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Emiel van Miltenburg
2. Eduardo Graells-Garrido
3. Jahna Otterbacher
4. David A. Forsyth
5. Filippo Menczer
6. Mounia Lalmas
7. Piek T. J. M. Vossen
8. Desmond Elliott

In Safety, Robustness & Interpretability

1. Desmond Elliott
2. Piek T. J. M. Vossen
3. Emiel van Miltenburg
4. David A. Forsyth
5. Shruti Bhargava
6. Eduardo Graells-Garrido
7. Jahna Otterbacher
8. Mounia Lalmas

Citations in the corpus

• Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models (2019, background): “The issue of gender bias in language has been studied for several years [Holmes and Meyerhoff, 2008, Beukeboom et al., 2014, Jost and Kay, 2005].”
• Stereotyping and Bias in the Flickr30K Dataset (2016, methodology): “Beukeboom (2014) lists several linguistic ‘tools’ that people use to mark individuals who deviate from the norm.”
• Talking about other people: an endless range of possibilities (2018, background): “These choices go beyond the scope of this paper, but see Beukeboom 2014; Fokkens et al. 2018 for a discussion.”
• Discovering and Categorising Language Biases in Reddit (2020, unknown): “(Beukeboom 2014, p.313).”
• How Stereotypes Are Shared Through Language: A Review and Introduction of the Social Categories and Stereotypes Communication (SCSC) Framework (2019, background): “Research within this field shows that information about people that is consistent with existing social-category cognition is formulated differently than information that is inconsistent with social-category cognition (Beukeboom, 2014).”
• Social Cues, Social Biases: Stereotypes in Annotations on People Images (2018, background): “Linguistic bias can be defined as a systematic asymmetry in the way that one uses language, as a function of the social group of the person(s) being described (Beukeboom et al. 2014).”
• First Women, Second Sex: Gender Bias in Wikipedia (2015, background): “Our contribution is a quantification of systematic asymmetries [8], which we define as gender bias with respect to content and structure, as well as a contextualization of the differences found in terms of social theory.”