Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Fake News Detection"”.
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AI-Driven Fake News Detection: Trends, Techniques, and Experimental Analysis
The rapid spread of fake news poses a significant challenge to information accuracy. This thesis highlights fake news definitions and characteristics, introducing a taxonomy that categorizes AI-driven detection methods into model-centric and process-centric approaches. We evaluate various …
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Advancing Cross-Domain Fake News Detection: Enhanced Models to Improve Generalization and Tackle the Class Imbalance Problem
The rapid proliferation of fake news across domains, such as politics, health, and social media, poses a significant threat to the integrity of information dissemination, leading to misinformation that can affect public perception and decision-making. Detecting fake news is critical to preserving …
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Using natural language to predict bias and factuality in media with a study on rationalization
Fake news is a widespread problem due to the ease of information spread online, and its ability to deceive large populations with intentionally false information. The damage it causes is exacerbated by its political links and loaded language, which make it polarizing in nature, and preys on …
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Machine learning for detection of fake news
… to an increase in the popularity and spread of fake news. As demonstrated by the widespread effects of the large onset of fake news, humans are inconsistent if not outright poor detectors of fake news. With this, efforts have been made to automate the process of fake news detection. The most …
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Generative Models Driven Graph Outlier Detection
… networks, and communication systems. The detection of outliers in graph data—substructures that significantly deviate from the norm—is crucial for uncovering fraudulent activities, network vulnerabilities, and novel patterns. However, traditional outlier detection techniques often fall …
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Online Social Networks News Spreading: Modeling and Data Analysis
… spreading, but, unlike traditional channels, news is free to propagate without control, so it is of primary importance to understand what are the factors that induce users to propagate a piece of news and not another, and how to identify true and false news. The topic is of interest in …
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Guarding truthfulness: Detecting and correcting false information
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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Computational approaches to countering disinformation: an analysis based on artificial intelligence models and social network dynamics [Approcci computazionali per contrastare la disinformazione: un'analisi basata su modelli di intelligenza artificiale e di analisi basata su modelli di intelligenza artificiale e dinamica delle reti sociali]
… della teoria delle reti nella rilevazione delle fake news. Sfruttiamo un modello di deep learning, appositamente affinato attraverso fine-tuning su DeBERTa, per analizzare sentimenti, emozioni e classificare le notizie come vere o false. L'analisi si concentra su quattro eventi significativi: la …