Media Image of Menstruation in Mass media and User generated content

التفاصيل البيبلوغرافية
العنوان: Media Image of Menstruation in Mass media and User generated content
المؤلفون: Strouhalová, Tereza
المساهمون: Reifová, Irena, Vochocová, Lenka
سنة النشر: 2020
مصطلحات موضوعية: menstruation, uživatelské obsahy, theory of social construction of reality, quantitative content analysis, masová media, user generated content, framework analysis, teorie sociální konstrukce reality, mass media, kvantitativní obsahová analýza, Media image, Mediální obraz, analýza rámců, menstruace
الوصف: This diploma thesis discusses the image of menstruation in the mass media and in user generated content. Menstruation is a biological process that is essential for reproduction. It not only plays a specific role from the biological point of view, but also from the cultural aspect. Menstruation has remained a taboo and been stigmatised for many years. Today this topic is no longer completely taboo, but some stigma and stereotypes remain. This diploma thesis is based on the theory of social construction of reality, where the mass media is considered one element involved in the construction of this reality. The aim of this work is to analyse the image of menstruation in the mass media created by professionals and compare it with the image of this topic in user generated content created by the public on social networks. Two research methods are used to obtain a comprehensive view of the specific issue - a quantitative content analysis and qualitative framework analysis. The quantitative content analysis is used to establish the frequency and occurrence of the topic of menstruation within mass media. The framework analysis is used to establish how this topic is represented and framed in the mass media and in user generated content.
اللغة: Czech
URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______2186::107fc290249a887ec9ab74190c170474
http://www.nusl.cz/ntk/nusl-415509
حقوق: RESTRICTED
رقم الأكسشن: edsair.od......2186..107fc290249a887ec9ab74190c170474
قاعدة البيانات: OpenAIRE