Browsing by Author "Houssou Yousra"

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    A Semiotic Analysis Of Movie Posters Representing Women Empowerment
    (Université Mouloud Mammeri Tizi Ouzou, 2024) Hennad Lysa; Houssou Yousra
    This present research is intended to examine Ten movie posters depicting various themes of women's empowerment across different genres and historical contexts. Therefore, the present study was an attempt to satisfy two main objectives. As a first one, it aims to explore the symbols, signs, and visual language used to portray empowered women on these posters at the representational, interactional, and compositional levels. Then, as a second objective, the study seeks to unveil the hidden messages and meanings the movie posters communicate about women's empowerment. Through a detailed semiotic analysis guided Kress and Van Leeuwen’s (1996-2006) “Reading images: The Grammar of Visual Design”, these posters reveal how visual elements such as facial expressions, body language, composition, and color are utilized to portray women as figures of strength, resilience, and empowerment. Central placement of female characters, often with determined and confident expressions, emphasizes their narrative importance and invites viewers to connect emotionally with their stories. The use of vibrant colors and symbolic backgrounds further reinforces themes of empowerment, achievement, and defiance of societal norms. By integrating diverse cultural and historical contexts, these posters not only highlight women's contributions but also challenge stereotypes and advocate for gender equality. This study highlights the role of movie posters as powerful tools for visual storytelling, shaping societal perceptions of gender roles and promoting discussions on women's empowerment within the film industry and beyond. Through this analysis, the study provides valuable insights into the ways in which visual media influences attitudes and beliefs about women's capabilities and contributions. Furthermore , in order to assess our thesis , we adopted the qualitative content analysis.