"Strong Women Characters" of Netflix's algorithm: Sample of foreign detective series

Digital platforms offer "new" alternatives for reproducing the social division of labour based on gender. While digital platforms shape user experiences with algorithmic processes, they also present their content with discursive classifications. The classifications in question may have features that will help to reveal how gender roles are comprehended in the patriarchal society. This thesis focuses on foreign detective series in the category of "Series Played by Strong Female Characters" as one of the classifications in Netflix, an internationally operating digital content platform. Four productions that met with the audience on different dates through the purposeful sampling technique were determined as samples. While determining the sample, attention was paid to the fact that the generic features of the series are basically detective, but also have different generic intersections. In addition, attention was paid to the series of meetings with the audience on different dates, so that the relational qualities between the findings were evaluated in terms of both generic intersections and continuity and interruptions. The narrative structures in which stereotypes about gender, which is a global-scale issue, are discussed were questioned. Thus, the professional and daily experiences of the female characters in the said series and the sexist representations found in these experiences have been reached. As a result, the power discourse; It has been noted that women are associated with the difficulties they experience in the patriarchal social order and the practices of enduring these difficulties.