The Automated Detection of Gender Bias Patterns in Children's Books and Stories

الموضوعات

إدارة

الملخص

From the late 1960s through the 1970s, researchers worldwide have shown interest in theexploration of gender representation in children’s literature, including books, stories, andeducational materials. A significant representational discrepancy was witnessed and provedbetween both genders in central characters, illustrations, titles, and text in different children’sstories and books through several studies conducted over the years. Several methods have beenused for the detection of gender bias, yet most of these methods followed a manual frequency-based qualitative and quantitative content analysis approach that focuses on the word-leveldetection of gender bias in language. This study, however, presents an advanced automatedcomputer-driven approach that can detect different gender bias categories at a phrase-level andsentence-level. This study applies its automated methodology and finds countless instances ofgender bias patterns investigated in more than 200 children’s books and stories, most of whichare still read to and by children today. It also tries to explore any relationship existing betweenthe gender bias categories detected and some attributes collected, such as “author’s gender”,“book genre”, and “year of publication”. This study finds significant effects of the” author’sgender” and “book genre” on the use of the different types of gender bias categories where maleauthors tend to display a greater bias in language towards males as compared to female authors.This research also presents the previous work that has been done in the field of gender researchin children’s literature and discusses the negative impact that a gendered language has at amicro-level and macro-level. Finally, this work aims to enhance the existing detectionapproaches, especially for the identification of gender bias existing at the level of the language,and it presents an automated machine-led content analysis approach for this purpose.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0c7c1408-47f7-4655-b02c-365a97ec6d80

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

2206031_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Maya Mounir El Gharib","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Wael Khreich ","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

The Automated Detection of Gender Bias Patterns in Children's Books and Stories

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Patterns in Children's

إشراف وإعداد

الإشراف

Wael Khreich

الإعداد

Maya Mounir El Gharib

الاقتباسات الببليوغرافية