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Visar resultat 1 - 5 av 1291 uppsatser som matchar ovanstående sökkriterier.
1. IS THE SEED OF REVOLUTION REPRESSION? A quantitative study of the relationship between government repression and anti-government mass mobilization
Kandidat-uppsats, Göteborgs universitet/Statsvetenskapliga institutionenSammanfattning : Throughout history, authoritarian regimes have used repression to avoid the opposition to flourish and to retain power. However, in the case of the protests for Mahsa Amini against the regime in Iran, it has been demonstrated that government repression instead, can be positively associated with anti-government mass mobilization. LÄS MER
2. UNGA VUXNAS UPPFATTNINGAR OM FALSKA NYHETER OCH DERAS TILLIT TILL NYHETSKANALER. En kvalitativ intervjustudie
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : The purpose of this study is to look into what low-educated and highly-educated young adults aged 20-30 think affects the spread of fake news and how they feel that their trust in news sources is affected when they become increasingly exposed to it. By mapping the respondents' view of the phenomenon of fake news and its influence on their information intake, the study aims to understand whether their trust in news sources is affected. LÄS MER
3. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)
Master-uppsats, Lunds universitet/Graduate SchoolSammanfattning : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. LÄS MER
4. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER
5. Klimatrubrikens påverkan på läsarens intresse : En kvantitativ och kvalitativ analys om vad för klimatrubriker ungdomar tenderar att lockas av
Kandidat-uppsats, Linnéuniversitetet/Institutionen för medier och journalistik (MJ)Sammanfattning : The purpose of this study was to identify what kind of climate headlines that people aged 18 to 25 think are most interesting and attractive. The theoretical framework used in the essay is framing theory and relevance theory. Framing theory is used to understand how journalists think when they form a headline. LÄS MER