Beauty and the Sources of Discrimination

Bélot, Michèle; Bhaskar, V.; Ven, Jeroen van de

doi:10.1353/jhr.2012.0020

Cited by 18 publications

(6 citation statements)

References 34 publications

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“…Belot et al . (2012) disentangle the sources of favoritism to attractive people by analysing data from a TV game show based on the prisoner's dilemma. They use a conditional logit regression model, which shows that less attractive contestants are more likely to be expelled by the game in the earlier rounds.…”

Section: Experimental Studiesmentioning

confidence: 99%

A multidisciplinary survey on discrimination analysis

Romei

Ruggieri

2013

The Knowledge Engineering Review

230

173

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The collection and analysis of observational and experimental data represent the main tools for assessing the presence, the extent, the nature, and the trend of discrimination phenomena. Data analysis techniques have been proposed in the last fifty years in the economic, legal, statistical, and, recently, in the data mining literature. This is not surprising, since discrimination analysis is a multi-disciplinary problem, involving sociological causes, legal argumentations, economic models, statistical techniques, computational issues. The objective of this survey is to provide a guidance and a glue for researchers and anti-discrimination data analysts on concepts, problems, application areas, datasets, methods and approaches from a multidisciplinary perspective. We organize the approaches according to their method of data collection as observational, quasi-experimental and experimental studies. A fourth line of recently blooming research on knowledge discovery based methods is also covered. Observational methods are further categorized on the basis of their application context: labor economics, social profiling, consumer markets, and others.

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Section: Experimental Studiesmentioning

confidence: 99%

A multidisciplinary survey on discrimination analysis

Romei

Ruggieri

2013

The Knowledge Engineering Review

230

173

View full text Add to dashboard Cite

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“…List, 2006) with data from Friend or Foe?. Sources of favoritism to attractive people by analysing data from a TV game show based on the prisoner's dilemma are studied in (Belot et al, 2008). In addition to the criticism of external validity, natural experiments have also the problem that not all factors are under control, e.g., the selection of participants to a TV game show.…”

Section: Controlled Experimentsmentioning

confidence: 99%

Discrimination Data Analysis: A Multi-disciplinary Bibliography

Romei

Ruggieri

2013

Studies in Applied Philosophy, Epistemology and Rational Ethics

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Discrimination data analysis has been investigated for the last fifty years in a large body of social, legal, and economic studies. Recently, discrimination discovery and prevention has become a blooming research topic in the knowledge discovery community. This chapter provides a multi-disciplinary annotated bibliography of the literature on discrimination data analysis, with the intended objective to provide a common basis to researchers from a multi-disciplinary perspective.We cover legal, sociological, economic and computer science references

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“…As well as contributing to the literature on discrimination in general, and in 21st-century Britain specifically, this article also adds to the growing literature analysing discrimination by contestants on game shows and reality TV. Studies on game shows have found contestants discriminating on the basis of race (Anwar, 2012), gender (Atanasov and Dana, 2013), age (List, 2006) and beauty (Belot et al, 2012; Hamermesh, 2012), although others have found little evidence of discrimination (Antonovics et al, 2005; Levitt, 2004). In analyses of the reality TV show Come Dine With Me , Ahmed (2013) and Schüller et al (2014) identified contestant behaviour consistent with ethnic discrimination.…”

Section: Introductionmentioning

confidence: 99%

Along which identity lines does 21st-century Britain divide? Evidence from Big Brother

Lane

2020

Rationality and Society

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This paper measures discrimination in the reality TV show Big Brother, a high-stakes environment. Data on contestants' nominations are taken from 35 series of the British version of the show, covering the years 2000-2016. Race and age discrimination are found, with contestants more likely to nominate those of a different race and those different in age from themselves. However, no discrimination is identified on the basis of gender, geographical region of origin, or level of education. Racial discrimination is driven by males, but females exhibit stronger age discrimination than males. Age discrimination is driven by the younger contestants discriminating against the older. Regional differences emerge, particularly between contestants from Greater London and those from the north of England; northerners have a stronger tendency to engage in racial and age discrimination, and to discriminate in favour of the opposite gender.3

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Beauty and the Sources of Discrimination

Cited by 18 publications

References 34 publications

A multidisciplinary survey on discrimination analysis

A multidisciplinary survey on discrimination analysis

Discrimination Data Analysis: A Multi-disciplinary Bibliography

Along which identity lines does 21st-century Britain divide? Evidence from Big Brother

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