This is a quantitative content analysis that dives deep into the Fresh and Fit podcast channel on YouTube. The study uses the framing theory and the gender theory. We wonder why other creators choose some of the video material from the channel Fresh and Fit podcast and make it their “best of” edition. All videos from other creators made between the years 2022 and 2023 have been selected for the study and through this a total selection has been made. To each video the top 5 top comments are analyzed to see which tonality dominates. Through gender theory, the comment field will be examined and thus focus on the dominant tonality.The reason for not including videos presented by Fresh and Fit themselves is to exclude their own opinions and only concentrate the study on the choices of other creators. This is interesting as larger YouTube profiles more easily get further sharing by other people's accounts, who in different ways comment or cut out material that is further presented to the audience. It may affect different major accounts in different ways as their own material may be angled in ways that are beyond the bigger channels control. In addition, the creators can get help to spread their material more easily through the interest that exists in the larger channel's already established following, which can further result in the smaller creator's account growing even larger. This is the case for Fresh and Fit, which over the course of four years has grown so large that a number of different creators have chosen to use their material and republish it. So too satisfy curiosity, we have chosen to dive deeper into how other creators take liberties with Fresh and Fit material published on YouTube. The results show that it turned out that the creators were mainly interested in bringing up topics of conversation that dealt with women's behavior. In addition to this, the study concluded that those who mainly got to speak were the hosts together with female guests, but that male guests were given more space of their own to express themselves.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-127348 |
| Date | January 2023 |
| Creators | Eriksson, Malin, Yngvesson Poijes, Jennifer |
| Publisher | Linnéuniversitetet, Institutionen för medier och journalistik (MJ) |
| 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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