Sökning: "detection of fake news"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden detection of fake news.
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 filologiSammanfattning : 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
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)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
3. Machine learning and Neural networks in Fake news detection : A mapping study
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
4. Performance comparison of different machine learningmodels in detecting fake news
Kandidat-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : 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
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)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