Sökning: "Fake News detection"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Fake News detection.

1. 1. A Preliminary Observation: Can One Linguistic Feature Be the Deterministic Factor for More Accurate Fake News Detection?

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Yini Chen; [2023]
   Nyckelord :Fake news detection; Generative models;

   Sammanfattning : This study inspected three linguistic features, specifically the percentage of nouns per sentence, the percentage of verbs per sentence, as well as the mean of dependency distance of the sentence, and observed their respective influence on the fake news classification accuracy. In comparison to the previous studies where linguistic features are combined as a set to be leveraged, this study attempted to untangle the effective individual features from the previously proposed optimal sets. LÄS MER

3. 2. Can Large Language Models Enhance Fake News Detection? : Improving Fake News Detection With Data Augmentation

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

   Författare :Emil Ahlbäck; Max Dougly; [2023]
   Nyckelord :;

   Sammanfattning : In recent years, the proliferation of fake news has become a significant concern due to its potential to cause harm and sow discord in societies worldwide. To address this issue, machine learning techniques have been employed in a task referred to as fake news detection (FND) to assess the veracity of textual news content. LÄS MER

4. 3. Machine learning and Neural networks in Fake news detection : A mapping study

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

   Författare :Theodor Kudryk; Astrid Lindh; [2022]
   Nyckelord :Fake news; Information disorder; Detection; Disinformation; Natural Lan-guage Processing; Machine Learning; Neural Networks; Fake news; Desinformation; Detektion; Natural Language Processing; Maskininlärning; Neurala Nätver;

   Sammanfattning : Fake news, or information disorder, is a societal problem that could be partially remedied by automatic detection tools. While still a young research field many such tools have been proposed in academic writing. LÄS MER

5. 4. Performance comparison of different machine learningmodels in detecting fake news

   Kandidat-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Zhibin Wan; Huatai Xu; [2021]
   Nyckelord :Text classification; Fake news detection; Machine learning; Feature ex-traction;

   Sammanfattning : The phenomenon of fake news has a significant impact on our social life, especially in the political world. Fake news detection is an emerging area of research. The sharing of infor-mation on the Web, primarily through Web-based online media, is increasing. The ability to identify, evaluate, and process this information is of great importance. LÄS MER

7. 5. A Comparative study of Knowledge Graph Embedding Models for use in Fake News Detection

   Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Författare :Matilda Frimodig; Tom Lanhed Sivertsson; [2021]
   Nyckelord :Machine Learning; Fake News Detection; Knowledge Graph; Natural Language Processing; Knowledge Graph Embedding;

   Sammanfattning : During the past few years online misinformation, generally referred to as fake news, has been identified as an increasingly dangerous threat. As the spread of misinformation online has increased, fake news detection has become an active line of research. One approach is to use knowledge graphs for the purpose of automated fake news detection. LÄS MER