Sökning: "U.S. media"

Visar resultat 1 - 5 av 67 uppsatser innehållade orden U.S. media.

  1. 1. Trump's Twiplomacy - A New Diplomatic Norm?

    Master-uppsats, Malmö universitet/Kultur och samhälle

    Författare :Kajsa Hughes; [2020]
    Nyckelord :Trump; Twiplomacy; framing; social norms; Twitter;

    Sammanfattning : This study examined how Trump frames various countries and their leaders and whether the framing changes from different factors. It also observed whether foreign leaders were following the same path as Trump in their diplomatic communication and interaction on Twitter. LÄS MER

  2. 2. TIME's Person of the Year 2019: A framing analysis about Greta Thunberg in the U.S. mainstream media

    Kandidat-uppsats, Lunds universitet/Institutionen för strategisk kommunikation

    Författare :Christina Abdulahad; Una Nyberg; [2020]
    Nyckelord :Strategic communication; Mainstream media; Mass media; Media biases; Content Analysis; Media framing; Semiotics; Greta Thunberg; United States; Social Sciences;

    Sammanfattning : Under 2019 ägde världens största klimatdemonstration rum med den svenska klimataktivisten Greta Thunberg i fronten. Samtidigt meddelade den amerikanska presidenten Donald Trump att USA skulle dra sig ur Parisavtalet. Mediernas gestaltning påverkar samhällsdiskurser och utgör därmed ett viktigt koncept inom strategisk kommunikation. LÄS MER

  3. 3. News Representation of COVID-19 in the US and the UK

    Magister-uppsats, Malmö universitet/Kultur och samhälle

    Författare :Marie-Therese Amminger; Angelica Ferneborg; [2020]
    Nyckelord :United States; United Kingdom; Pandemic; COVID-19; News Representation; Theory of Representation; Content Analysis; Discourse Theory; News Media; New York Times; The Guardian;

    Sammanfattning : The aim of this thesis is to investigate the news media representation of the COVID-19 pandemic in the United States and the United Kingdom. By conducting an extensive qualitative content analysis on 156 articles collected from the ​New York Times ​ and ​The Guardian ​ during two weeks of the pandemic, this thesis examines the possible change in news reporting and shift in tone of the representation of the news reporting from the week prior to the nationwide lockdown measures to the week after the lockdown measures in the U. LÄS MER

  4. 4. Generative Adversarial Networks and Natural Language Processing for Macroeconomic Forecasting

    Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :David Evholt; Oscar Larsson; [2020]
    Nyckelord :Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting; Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting;

    Sammanfattning : Macroeconomic forecasting is a classic problem, today most often modeled using time series analysis. Few attempts have been made using machine learning methods, and even fewer incorporating unconventional data, such as that from social media. In this thesis, a Generative Adversarial Network (GAN) is used to predict U.S. LÄS MER

  5. 5. Shifting Enemy Lines in the War on Terror. An Analysis on the Linguistic Representations of the War on Terror in U.S. News Media in the Post-Bush Era

    Kandidat-uppsats, Malmö universitet/Kultur och samhälle

    Författare :May Mabel Hall; [2020]
    Nyckelord :;

    Sammanfattning : This paper examines the discourses surrounding the ‘War on Terror’ rhetorical catchphrase in the U.S. news media in the post-Bush era. LÄS MER