نتایج جستجو برای: gender stereotyping

تعداد نتایج: 171832  

2010
Eileen M. Trauth Lynette Kvasny Jing Chong Sadan Kulturel Jan Mahar

The question of a possible shift in Millennials’ perceptions about gender and ICT resulted from a survey of gender stereotyping of ICT skills among college age Millennials in the USA. The results identify three clusters of skills: masculine (includes computer programming, database and networking); feminine (includes communication, working in teams, ethics, global and cultural awareness, and ope...

Journal: :Journal of personality and social psychology 1972
K Dion E Berscheid E Walster

A person's physical appearance, along with his sexual identity, is the personal characteristic that is most obvious and accessible to others in social interaction. The present experiment was designed to determine whether physically attractive stimulus persons, both male and female, are (a) assumed to possess more socially desirable personality traits than physically unattractive stimulus person...

2008
Erin L. Sutfin Megan Fulcher Ryan P. Bowles Charlotte J. Patterson

We studied associations among parents’ gender role attitudes, gender stereotyping in children’s environments, and children’s gender role attitudes and whether these associations were similar for families with lesbian and heterosexual parents. Fifty-seven 4to 6-year-olds and 114 parents from the US participated. Parents completed selfreport questionnaires and responded to interview questions. Re...

2010
Eileen M. Trauth Kshiti D. Joshi Lynette Kvasny Jing Chong Sadan Kulturel-Konak Jan Mahar

The question of a possible shift in Millennials’ perceptions about gender and ICT resulted from a survey of gender stereotyping of ICT skills among college age Millennials in the USA. The results identify three clusters of skills: masculine (includes computer programming, database and networking); feminine (includes communication, working in teams, ethics, global and cultural awareness, and ope...

2003
Melanie C. Steffens Silvia Mecklenbräuker Axel Buchner Bettina Mehl Melanie Steffens

The false-fame effect is the phenomenon that familiar names are falsely judged famous more often than unfamiliar names. M.R. Banaji and A.G. Greenwald (1995) demonstrated a gender bias in the false-fame effect: In line with existing gender stereotypes, the false-fame effect was larger for male than for female names. A more general explanation for gender biasing in fame judgments is based on cog...

2017
Serena Daalmans Mariska Kleemans Anne Sadza

The current study investigated the differences in the representation of gender on male- and female-targeted channels with regard to recognition (i.e., the actual presence of men and women) and respect (i.e., the nature of that representation or portrayal). To this end, the presence of men and women on two female- and two male-targeted Dutch channels (N = 115 programs, N = 1091 persons) were com...

2016
Sabine Sczesny Magda Formanowicz Franziska Moser

Gender-fair language (GFL) aims at reducing gender stereotyping and discrimination. Two principle strategies have been employed to make languages gender-fair and to treat women and men symmetrically: neutralization and feminization. Neutralization is achieved, for example, by replacing male-masculine forms (policeman) with gender-unmarked forms (police officer), whereas feminization relies on t...

Journal: :Journal of personality and social psychology 2006
Stacey Sinclair Curtis D Hardin Brian S Lowery

This research examines self-stereotyping in the context of multiple social identities and shows that self-stereotyping is a function of stereotyped expectancies held in particular relationships. Participants reported how others evaluated their math and verbal ability and how they viewed their own ability when their gender or ethnicity was salient. Asian American women (Experiment 1) and Europea...

Journal: :Economic Research-Ekonomska Istraživanja 2012

Journal: :Communications in computer and information science 2023

Facial Expression Recognition (FER) uses images of faces to identify the emotional state users, allowing for a closer interaction between humans and autonomous systems. Unfortunately, as naturally integrate some demographic information, such apparent age, gender, race subject, these systems are prone bias issues. In recent years, machine learning-based models have become most popular approach F...

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