A tartalomból:

The purpose of the current dissertation is to shed light on the relationship between self-representation and affective or anxiety disorders from the perspective of the COVID-19 pandemic by presenting the author’s research results after a thorough literature review. After this short introduction – which includes the justification of the choice of topic, its social relevance, the methodology of the research, and the personal motivation of the author – an extensive literature review (Chapter 2) discusses the relationship between social media, mental health, and the COVID-19 pandemic. Since so far, very few research results have been published that examined this triple connection, the sources available on the double connections are introduced as well: first, on the connection between social media and mental health (Chapter 2.1), then on the connection between mental health and the COVID-19 pandemic (Chapter 2.2), and finally on the about social media and the pandemic (Chapter 2.3), before turning to examine the results of the triple connection so far (Chapter 2.4). The literature review is followed by the author’s research results (Chapter 3) in three separate yet connected parts, which can be interpreted separately but give a more comprehensive picture together. The first research is about the possible psychosocial impact of modifying face and body photographs in social media (Chapter 3.1); this mixed-method pilot study helps explore the correlations of self-representation with questionnaire data collection and interviews with experts and users.The second research is a real-time cross-sectional analysis of self-representation on social media and depression risk during lockdowns and restrictions of the first five COVID-19 pandemic waves (Chapter 3.2). The unique feature is that the data was not collected retrospectively but took place at the peaks of the waves of the pandemic. The third research, which took place in parallel with the second, is a longitudinal analysis that focuses on the self-representation of users diagnosed with an affective disorder or anxiety disorder (Chapter 3.3). Here, self-representative photos and videos were analyzed on Facebook or Instagram over three years. The analysis covers three groups: the members of the first had an official diagnosis of one of the specified common anxiety or affective disorders; the members of the second group did not have such a diagnosis, but based on their symptoms, they suspected that they might have such mental illnesses; and the members of the third group had neither an official nor a self-suspected diagnosis. In addition to the content analysis, questionnaire data were collected twice to examine the relationship between self-representation on social media and affective or anxiety disorders in the perspective of the COVID-19 pandemic.

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