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English Vulgarisms in internet communication/Anglické vulgarismy v internetové komunikaci
KŘÍŽ, Vojtěch
This Bachelor's thesis deals with the usage of vulgarisms in the communication of the English-speaking internet. The internet is well known for its very dynamic environment, as well as its many forms of communication. The theoretical part of the thesis deals with specifying the term "taboo language" and its typology. This part also provides a closer look at vulgarisms specifically. The ending of the theoretical part concentrates on introducing the specifics of internet communication. The practical part of the thesis contains a brief overview of the examined websites, and furthermore, it contains the analysis of the internet language of the chosen websites. The collected data are analyzed with the help of a corpus toolbox software #LancsBox. The data is afterwords put into tables and graphs, that show which vulgarisms are used and in what quantities. At the end of this thesis, the analyzed websites are compared in terms of the frequency of using vulgarisms. The thesis analyses when are vulgar expressions used on the internet, and whether they are used more often than in everyday communication.
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Gamified Stock Markets, Sentiment and Volatility: Evidence from the GameStop frenzy
Tran Nguyen, Thai Nhat Phi ; Krištoufek, Ladislav (advisor) ; Kočenda, Evžen (referee)
In this thesis, we study the impact of individual retail investors on the financial markets. We follow the GameStop retail trading frenzy from the beginning of 2021 and the retail investors aggregated on Reddit's r/wallstreetbets. The tools employed include natural language processing, wavelet analysis and vector error correction models. The results propose that the retail investor sentiment is highly susceptible to high volatility, extreme returns and frequent news coverage. Social media is shown to exacerbate these behavioural tendencies. We find evidence that retail investor sentiment is able to predict short-term returns for stocks specifically targeted by retail investors. The findings are, however, dependent on the investment horizon. Over long horizons, we find evidence for the reversal of the relationship. Lastly, while the effect of news and social media is similar in the long run, we show that Reddit sentiment, as opposed to news sentiment, is a significant predictor of retail targeted stocks in the near term. JEL Classification C55 C58, G12, G14, G41 Keywords Sentiment, Social media, GameStop, Reddit, Natural language processing, Wavelet analysis Title Gamified Stock Markets, Sentiment and Volatility: Evid- ence from the GameStop frenzy 1
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The viral potential of internet memes
Limanovský, Adam ; Jirků, Jan (advisor) ; Švelch, Jaroslav (referee)
This diploma thesis deals with the phenomenon of Internet memes. The theory of memes came from the evolutionary biologist R. Dawkins in the late 1970s, as a cultural analogy of genes. Decades later, the term "meme" began to appear in Internet culture in conjuction with Internet jokes. This thesis works with the concepts of meme, virality, spreadable media and media convegence. All of these terms define the current Internet environment. The diploma thesis is based mainly on books by L. Shifman: Memes in Digital Culture, H. Jenkins: Convergence Culture: Where Old and New Media Collide and Spreadable Media: Creating Value and Meaning in a Networked Culture (co-authored) and K. Nahon and J. Hemsley: Going Viral. This diploma thesis deals with the definition of the term meme and its differentiation from the term virality, because for the average Internet user, these two terms are synonymous. The thesis describes meme genres, phases of the creation of Internet memes, which arise mainly from spreadble media and on the basis of which principles are memes created and what factors contribute to their spread in cyberspace. The analytical part consists of a contextual analysis of selected Internet memes, which demonstrates how digital manipulation changes the context of memes in which the meme can be used and how this...
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