Sökning: "Hate speech"

Visar resultat 11 - 15 av 89 uppsatser innehållade orden Hate speech.

  1. 11. Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Matilda Froste; Mosa Hosseini; [2023]
    Nyckelord :natural language processing; machine learning; offensive speech detection; transformers; multi-label classification; Technology and Engineering;

    Sammanfattning : The classification of toxic comments is a well-researched area with many techniques available. However, effectively managing multi-label categorization still requires a considerable amount of work. LÄS MER

  3. 12. #Laïcité on Twitter : A Critical Discourse Analysis of Hashtag #Laïcité and Its Use in Discourses on Islam in the French Republic

    Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Anne-Laurence Hamer; [2023]
    Nyckelord :Laïcité; Twitter; Critical Discourse Analysis; Hashtag; Twitterisation; Islamophobia; Secularism; France;

    Sammanfattning : This thesis explores the Twitter discourse surrounding French secularism, referred to as laïcité, and its interplay with Islam in France. The research aims to provide an in-depth synchronic analysis of patterns and Twitter users’ language and rhetoric when discussing the principle. LÄS MER

  4. 13. A Tale of Two Domains: Automatic Identifi­cation of Hate Speech in Cross­-Domain Sce­narios

    Kandidat-uppsats, Stockholms universitet/Avdelningen för datorlingvistik

    Författare :Gustaf Gren; [2023]
    Nyckelord :NLP; hate speech detection; transformers; BERT; ChatGPT; Språkteknologi; näthat; hatretorik; transformers; BERT; ChatGPT;

    Sammanfattning : As our lives become more and more digital, our exposure to certain phenomena increases, one of which is hate speech. Thus, automatic hate speech identification is needed. LÄS MER

  5. 14. Exploring toxic lexicon similarity methods with the DRG framework on the toxic style transfer task

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

    Författare :Martin Iglesias; [2023]
    Nyckelord :Detoxifcation; Text style transfer; Deep learning; Transformers; Linguistics; Natural Language Processing; Hate speech; Text style-conditional generation; Large language model; Avgiftning; Överföring av textstil; Djupinlärning; Transformatorer; Lingvistik; Naturlig språkbehandling; Hatprat; Textstil - villkorlig generering; Stor språkmodell;

    Sammanfattning : The topic of this thesis is the detoxification of language in social networks with a particular focus on style transfer techniques that combine deep learning and linguistic resources. In today’s digital landscape, social networks are rife with communication that can often be toxic, either intentionally or unintentionally. LÄS MER

  7. 15. BASED, REDPILLED, AND FPBP. Examining identification through discursive/affective practices on 4chan/pol/

    Master-uppsats, Göteborgs universitet/Institutionen för kulturvetenskaper

    Författare :Henrik Bergius; [2022-02-08]
    Nyckelord :Affect; Discourse; 4chan; Fascism; Radicalization; Disciplining; Online political space;

    Sammanfattning : In a political landscape increasingly more influenced by far-right populism, the potential for political projects aiming to expand democracy is challenged. With the internet becoming an important arena for political discussion, this begs the question of how online spaces function as politically radicalizing. LÄS MER