The study aims to explore whether gender stereotypes are reflected, questioned, or redefined in the podcast medium. The research question specifically investigates differences in these patterns between male and female participants and examines the language used to express them. The study is theoretically grounded in Kerstin Nordenstam’s (1990), Catrin Norrby’s (2014) and Deborah Tannen’s (2013) observations regarding gender differences in conversation topics and styles. The research involves conducting a conversational analysis to explore gender stereotypical conversational patterns on six of Sweden's prominent podcast episodes; Alex och Sigges podcast, Aldrig ensam, Wahlgren & Wistam, 30's in the City, Kafferepet and Helvetet med Walden och Parisa. It involved a dual-level approach, initially a broad analysis was conducted of short segments from all six episodes. Subsequently, a more in-depth examination was carried out on two specific episodes, involving the analysis of more extensive portions of each conversation. The analysis reveals that gender stereotypes emerge in podcasts through topic choices, support signals, overlapping speech and word distribution. For instance, women often focus on personal relationships and use more support signals, while men exhibit more dominance, especially in overlapping speech. The analysis of word distribution also confirms previous research on longer male utterances. Conclusions are drawn regarding how these patterns are reinforced by the podcast's structure and content choices. The results provide insights into gender related conversational patterns. Scientifically, the study fills a gap by applying previous theories to the modern podcast medium, opening new avenues for research on gender and communication. Societally, the study highlights how these patterns contribute to maintaining gender norms and specific expectations.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-526732 |
Date | January 2024 |
Creators | Gudmundsson, Mimmi, Torres, Ailin |
Publisher | Uppsala universitet, Institutionen för informatik och media |
Source Sets | DiVA Archive at Upsalla University |
Language | Swedish |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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