Gender bias, social bias, and representation in Bollywood and Hollywood

Khadilkar, Kunal; KhudaBukhsh, Ashiqur R; Mitchell, Tom

doi:10.1016/j.patter.2022.100442

Cited by 5 publications

(2 citation statements)

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“…Khadilkar, KhudaBukhsh, and Mitchell (2022) go in depth towards finding gender and racial bias in a large sample of Bollywood (and Hollywood) movies. The author has amalgamated several known NLP models while he tries to create a reasonably robust model of his own.…”

Section: Related Workmentioning

confidence: 99%

Understanding political polarization using language models: A dataset and method

Gode,

Bare,

Raj

et al. 2023

AI Magazine

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Our paper aims to analyze political polarization in US political system using language models, and thereby help candidates make an informed decision. The availability of this information will help voters understand their candidates' views on the economy, healthcare, education, and other social issues. Our main contributions are a dataset extracted from Wikipedia that spans the past 120 years and a language model‐based method that helps analyze how polarized a candidate is. Our data are divided into two parts, background information and political information about a candidate, since our hypothesis is that the political views of a candidate should be based on reason and be independent of factors such as birthplace, alma mater, and so forth. We further split this data into four phases chronologically, to help understand if and how the polarization amongst candidates changes. This data has been cleaned to remove biases. To understand the polarization, we begin by showing results from some classical language models in Word2Vec and Doc2Vec. And then use more powerful techniques like the Longformer, a transformer‐based encoder, to assimilate more information and find the nearest neighbors of each candidate based on their political view and their background. The code and data for the project will be available here: “https://github.com/samirangode/Understanding_Polarization”

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Section: Related Workmentioning

confidence: 99%

Understanding political polarization using language models: A dataset and method

Gode,

Bare,

Raj

et al. 2023

AI Magazine

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“…The habit of differentiating gender roles for women and men has an impact on the division of the system of gender inequality in the division of labor. This causes women to be economically weak and lack access to information that develops outside, because their time, energy and thoughts are wasted at home [11] This may be because men are thought to commit more crimes than women [12] Although the overall depiction of women has improved over time, it still exhibits considerable gender bias and has not achieved equal representation between genders [13].…”

Section: Setiap Kita Bertemu Gadis Kecil Berkaleng Kecil Senyummu Ter...mentioning

confidence: 99%

Gender Bias Perspective in Indonesian Language Textbooks and Related Sociocultural in Indonesia

Sujinah¹,

Muhammad²,

Ngatmain³

2023

Advances in Social Science, Education and Humanities Research

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The differences between men and women in terms of roles and positions become a real problem in our society. In fact, those differences limit their movement and cause injustice. This study describes the gender bias contained in the revised edition of the Indonesian Language High School textbook which includes gender subordination bias, gender marginalization bias, and gender stereotype bias; and its relation to social culture in Indonesia. This study uses a qualitative descriptive method with documentation as data collection techniques. The data were analyzed with the stages of data reduction, data presentation and conclusion/verification. The conclusion of this study shows that the Revised Edition of the Indonesian High School textbook contains gender bias in the form of text and images. The most common gender biases are subordination, following gender stereotype bias, and gender marginalization bias. Gender bias is closely related to socio-cultural aspects that still see second-class women in terms of economy, education, politics, and society.

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Using heroine film to promote gender awareness: a classroom-based study at an Indonesian university

Kasiyarno

Rohmatunnazilah

Audah

2022

Feminist Media Studies

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Gender bias, social bias, and representation in Bollywood and Hollywood

Cited by 5 publications

References 0 publications

Understanding political polarization using language models: A dataset and method

Understanding political polarization using language models: A dataset and method

Gender Bias Perspective in Indonesian Language Textbooks and Related Sociocultural in Indonesia

Using heroine film to promote gender awareness: a classroom-based study at an Indonesian university

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