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Reklamcılık alanında toplumsal cinsiyet sunumu ele alınırken erkek kimliğinin nasıl temsil edildiğinin incelendiği bu çalışmada 1990 ve 2000 yılları arasındaki televizyon reklamlarının metinsel ve kurgusal bakış açısı tartışılmıştır. Bu bağlamda genel tarama modelinin uygulandığı literatür kısmında televizyon reklamcılığı, medya ve kimlik olguları kavramsal çerçevede araştırılmıştır. Analiz kısmında ise iki televizyon reklamı incelenerek erkek kimliğinin nasıl inşa edildiğinin değerlendirilmesi amaçlanmıştır.

Depression is a disease that causes physiological and psychological problems. Depression causes in individuals, sleep disturbance, constant fatigue, anorexia, inability to do daily activities, and feeling constantly tired and tired. Among the causes of depression; sociological, biological and psychological conditions are counted. The first step in treating depression is to make the correct diagnosis. Beck Depression Inventory (BDI) is a self-report scale consisting of 21 questions that evaluates the severity of depressive symptoms and the risk of depression. The purpose of BDI is not to define a diagnosis of depression, but to objectively quantify the degree of depression. The aim of this study is to determine the most successful algorithm from artificial neural network algorithms by using a data set of BDI scale. Random Forest, Decision Tree, Naive Bayes and Neural Network methods were used in the prediction model of diagnosis and severity of depression. The most appropriate estimation algorithm for problem solving has been determined. The best result; the training rate was 99.9%, the test rate was 98.5%, and the loss rate was 0.1% for training and 1.5% for testing, using the "Artificial Neural Network" algorithm. The lowest rates were obtained with the "Decision Tree" algorithm, with 90.8% training and 87.1% test rates. In addition, different results were obtained with Adam, SGD and L-BFGS-B optimizations used in ANN algorithms and the best success percentage was obtained as a test result in Adam technique.

As technology develops, human life changes and internet technology is considered as a factor that accelerates this change. The virtual universe, defined as the Metaverse, is the last point of change. In this universe, is presented an alternative virtual life to real life. Positive and negative reflections of this life it will come out in time that promises beyond new media and digital transformation. In this context, the present study examines the expectations and concerns about the Metaverse domain. At the same time, the concept of Metaverse and it is emphasized relationship with new media and digital transformation. Especially with the document analysis method, in which electronic materials are examined in detail, is focused on the present and future of the Metaverse domain.