Sökning: "covid twitter"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden covid twitter.

  1. 1. Influencers in Confinement : Measuring Covid-19’s Impact on Leadership in Pro- Eating Disorder Twitter Communities

    Master-uppsats, Linköpings universitet/Institutet för analytisk sociologi, IAS

    Författare :Jacquelynn Ennis; [2024]
    Nyckelord :Social Network Analysis; Twitter; Pro-eating Disorder; Eating Disorders; Covid-19; Topic Modelling; Online Communities;

    Sammanfattning : The Covid-19 pandemic presented unprecedented challenges, with global lockdowns impacting individuals on a profound scale. Many took to social media to cope with feelings of anxiety and isolation. LÄS MER

  3. 2. Optimizing Lexicon-Based Sentiment Analysis for COVID-19 Twitter : Interactions in Health Contexts

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Jafari Ramin; [2023]
    Nyckelord :Sentiment analysis; COVID-19 pandemic; Twitter; Lexicon-based techniques; VADER algorithm;

    Sammanfattning : During the COVID-19 pandemic, the surge in social media usage has elevated interestin sentiment analysis, especially for health-related applications. This bachelor thesisexplores the effectiveness of two lexicon-based sentiment analysis techniques, with afocus on enhancing the accuracy of the Valence Aware Dictionary for SentimentReasoning (VADER) algorithm. LÄS MER

  4. 3. Ett demokratiskt samtal i kris? : En jämförande studie av deliberativ kvalitet i riksdagen och på Twitter under Coronapandemin

    Master-uppsats, Uppsala universitet/Statsvetenskapliga institutionen

    Författare :Filippa Färm Bredin; [2023]
    Nyckelord :;

    Sammanfattning : This study sets out to compare the deliberative quality of two different forums of discussion, the Swedish parliament (the Riksdag) and the social media platform Twitter, during the covid- 19 pandemic. The study takes deliberative ideals as a theoretical starting point and asks how the deliberative quality of said forums differ. LÄS MER

  5. 4. Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Marcus Lindell; Casper Schwerin; [2023]
    Nyckelord :AI; Machine Learning; Time series analysis; Modeling; Sick absence; Forecasting; Macro factors; Stochastic processes; Mathematics and Statistics; Technology and Engineering;

    Sammanfattning : Sick absence affects companies both operationally and economically and the matter has become increasingly prominent following the COVID-19 pandemic. MedHelp Care is an e-health company working towards increasing workplace wellness by offering insights into absence and rehabilitation matters. LÄS MER

  7. 5. Zum Sprachgebrauch von Coronamaßnahmen-Gegner:innen : Eine digitale Mediendiskursanalyse von Wortneuschöpfungen auf Twitter

    Master-uppsats, Stockholms universitet/Institutionen för baltiska språk, finska och tyska

    Författare :Lisanne Burghardt; [2022]
    Nyckelord :Discourse Analysis; Media Discourse Analysis; Corpus Linguistics; Neologisms; Twitter Covid-19 pandemic;

    Sammanfattning : With the outbreak of the Covid-19 pandemic and the associated restrictions such as lockdowns, mask mandates and the approval and in some cases mandate of SARS-CoV-2 vaccines, lively discourses have developed around political, social and medical measures. These discourses, which take place both online and offline, are initiated not only by experts but also predominantly by the general public - among them also conspiracy theorists, neo-rightists and supporters of the German “Querdenken” movement. LÄS MER