Race as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics

By M. Sen, Omar Wasow. 2016

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

Citations in the corpus

The Risk of Racial Bias in Hate Speech Detection (2019, background): “Race is a complex, multi-faceted social construct (Sen and Wasow, 2016) that has correlations with geography, status, dialect, and more.”
Towards a critical race methodology in algorithmic fairness (2019, positive): “Sen andWasow’s ’bundle of sticks’ framework theorizes race as a composite variable that can be disaggregated into constitutive elements, some of which can be manipulated [109].”
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation (2022, background): “Their permissibility of use, however, for addressing class imbalance has been contested because of the infeasibility of manipulating demographic categories [62, 74, 110] and inaccurate conceptualizations of causality of demographic categories [64, 83].”
User-Level Race and Ethnicity Predictors from Twitter Text (2018, unknown): “…acknowledge that other racial/ethnic classifications exist or some groups are heterogeneous (e.g., Asian contains Chinese, Indian and Middle Eastern ethnicities) and that some argue the validity of the race construct entirely (Mukhopadhyay et al., 2013; Sen and Wasow, 2016).”
Unpacking the inequality paradox: The psychological roots of inequality and social class. (2018, background): “Additional research points to social class as a multifaceted construct, a “bundle” variable with interlocking psychological facets (e.g., Sen & Wasow, 2016), broadly influencing people’s relationship strategies (Bianchi & Vohs, 2016), their attention to others (Dietze & Knowles, 2016)—even at the…”
Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased Data (2018, background): “Sen and Wasow [43] take a constructivist approach, and consider race to be”
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale (2022, background): “For instance, the very notion of generating an image of “the face of a poor person” is problematic in and of itself, as race, class, and other social categories are not immutable (Sen and Wasow, 2016), and more broadly, images of particular characteristics that are or are meant to be uncorrelated wi”
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts (2019, background): “statistical effects in social scientific inquiry, since race is a multifaceted construct (a “bundle of sticks,” as Sen and Wasow (2016) argue).”