Résumé
In Do Stereotypes Die Hard ? the author deconstructs the clichés that still shape society in 2024 2025. Drawing on institutional reports (EIGE, Pew Research Center), opinion polls and academic studies, this mini book shows how gender, age, racial and class representations fuel persistent inequalities.
Readers learn that 71 % of women in advertising are confined to domestic roles and that women over 60 are virtually invisible in campaigns. Generation Z, although keen to save and invest, is still labelled as lazy. Ageism cuts both ways : 93 % of young Britons have been discriminated against at work, while 80 % of American workers over 50 have experienced prejudice. The book also shows how artificial intelligence and social networks replicate biases : algorithms systematically present women as younger and less experienced.
The survey offers concrete solutions - responsible advertising practices, inter generational programmes, bias training and algorithmic transparency - to deconstruct stereotypes and build a more inclusive society.
Readers learn that 71 % of women in advertising are confined to domestic roles and that women over 60 are virtually invisible in campaigns. Generation Z, although keen to save and invest, is still labelled as lazy. Ageism cuts both ways : 93 % of young Britons have been discriminated against at work, while 80 % of American workers over 50 have experienced prejudice. The book also shows how artificial intelligence and social networks replicate biases : algorithms systematically present women as younger and less experienced.
The survey offers concrete solutions - responsible advertising practices, inter generational programmes, bias training and algorithmic transparency - to deconstruct stereotypes and build a more inclusive society.
Auteur
Caractéristiques
Éditeur : Five Minutes Editions
Publication : 30 décembre 2025
Intérieur : Noir & blanc
Support(s) : Livre numérique eBook [ePub]
Contenu(s) : ePub
Protection(s) : Marquage social (ePub)
Taille(s) : 133 ko (ePub)
Langue(s) : Anglais
Code(s) CLIL : 3116, 3407, 3645
EAN13 Livre numérique eBook [ePub] : 9791043409622
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