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 8 of 8 for “"Misinformation Detection"”.
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Cross-document misinformation detection based on event graph reasoning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Mining social sensing data: Representation, modeling, and applications
… advance social sensing applications, including misinformation detection, link prediction, and polarity detection. The work lies in the exploration of learning systems that include both analytic schemes, where model structure is known ahead of time (but parameters need to be estimated), and …
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Empowering Users on Social Media for Better Content Credibility
As misinformation raged on online social spaces and threatened people’s lives and even democracy, platforms rose as the authority on misinformation detection and moderation. However, concerns about freedom of speech and listening rights and the autonomy of individuals in deciding what content to …
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Multi-Stage LLM Reasoning for Automated Detection and Classification of High-Impact Misinformation
… the reach of misleading content [1]. Exposure to misinformation has been linked to shifts in public attitudes and behavior, including vaccine uptake [2] and voting behaviors [3]. However, current misinformation detection approaches can often focus on a narrow definition of misinformation: factual …
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Human-centric trustworthy foundation model reasoning
… their helpfulness; they may fail to identify misinformation or spread non-factual hallucinated content, compromising information honesty; and they may produce harmful content that unintentionally reflects biases or insensitivities. In response to these pressing concerns, this dissertation aims …
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Dynamic graph neural network framework for real-time multi-modal data analysis and predictive modeling
… capabilities extend to social media analysis for misinformation detection and rumor spread pattern discovery, with superior classification results on datasets like Pheme, Twitter15, Twitter16, and WEIBO. These examples showcase how the framework uncovers evolving patterns across platforms by …
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Explainable Neural Claim Verification Using Rationalization
… continues, it can potentially lead to increased misinformation, which is a significant challenge. Although claim verification techniques exist, they lack proper explainability. Numerical scores such as Attention and Lime and visualization techniques such as saliency heat maps are insufficient …
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USING ARTIFICIAL INTELLIGENCE FOR DETECTING DISCRIMINATORY LANGUAGE
… with a particular focus on harmful language detection in Italian. Rather than prioritising algorithmic modifications alone, the research develops an end-to-end pipeline encompassing data collection, dataset curation, synthetic data generation, LLM-based annotation through introducing a …