Sökning: "Wall Street"

Visar resultat 1 - 5 av 67 uppsatser innehållade orden Wall Street.

  1. 1. “Ask what you can do for your company” : En studie om Gamestop-sagan: Från social rörelse till brand love

    Kandidat-uppsats, Uppsala universitet/Sociologiska institutionen

    Författare :Rodan Alis; Taiki Watanabe; [2024]
    Nyckelord :Social Rörelse; Brand Love; Digital Aktivism;

    Sammanfattning : Denna studie undersöker den digitala sociala rörelsen som uppstod ur efterdyningarna av den så kallade GameStop-sagan på aktiemarknaden. Spelåterförsäljaren GameStop erhöll en grupp hängivna anhängare på det sociala mediet Reddit. LÄS MER

  3. 2. Amerikansk nyhetsmedia i förhållande till Sydamerika: EN KRITISK DISKURSANALYS AV DE SÄTT AMERIKANSK NYHETSMEDIA PRESENTERAR NYHETER FRÅN SYDAMERIKA FÖR DERAS LÄSARE

    Kandidat-uppsats, Göteborgs universitet/Institutionen för globala studier

    Författare :SEBASTIAN PETERSSON ZANDER; [2022-11-03]
    Nyckelord :Critical discourse Analysis; Paternalism; Bolivia; US; News Media; Evo Morales;

    Sammanfattning : The goal of this article is to use critical discourse analysis to analyse four different news articles regarding the departure of Evo Morales as the president of Bolivia and his subsequent exile in Mexico during the weeks after the country’s contentious election in October 2019. The four different news articles analysed come from four reputable newspapers with long histories in the business, they are: the Washington Post, the Wall Street Journal, the New York Times and The Atlantic. LÄS MER

  4. 3. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :MOLA AYENEW; [2022-04-27]
    Nyckelord :pipeline; semi-automated; building facade; parsing; panorama imagery; Google Street view; mapillary; Mask R-CNN; deep learning; inference; rectilinear projection;

    Sammanfattning : This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. We propose a semiautomated pipeline that integrates multiple systems for large-scale building facade parsing. LÄS MER

  5. 4. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Beatrice Lovely; [2022]
    Nyckelord :Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

    Sammanfattning : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. LÄS MER

  7. 5. The Donald VS. Sleepy Joe : En kvalitativ studie om hur Donald Trump och Joe Biden gestaltas i nyhetsartiklar under det amerikanska presidentvalet 2020

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för medier och journalistik (MJ)

    Författare :Joel Holmgren; Janet de Kriek; [2021]
    Nyckelord :Donald Trump; Joe Biden; presidential election; qualitative text analysis; framing; hermeneutic perspective;

    Sammanfattning : The aim of this study was to examine differences and similarities in the news coverage among the presidential candidates Joe Biden and Donald Trump in the presidential election 2020. We also examined how the candidates are framed in the different newspapers. LÄS MER