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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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7 results for “disinformation”

Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpuscs.LG

Developed a neural topic model for classifying COVID-19 disinformation.

problem Tackles the challenge of disinformation during the COVID-19 pandemic.

method Classification-aware neural topic model (CANTM) for COVID-19 disinformation.

result Demonstrated the effectiveness of CANTM in classifying COVID-19 disinformation.

COVID-19 Disinformation Fact-checking Neural Topic Model Pandemic

2020-06-05abs ↗pdf ↗

Automatic Detection of Influential Actors in Disinformation Networkscs.SI

Framework detects influential actors in disinformation networks.

problem Identifying and countering hostile influence operations on social media.

method Combines NLP, ML, graph analytics, and causal inference.

result 96% precision, 79% recall, 96% PR-curve area for IO detection.

disinformation influence operations social media natural language processing machine learning

2020-05-21abs ↗pdf ↗

Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Mediacs.CL

Enhances GNNs with text features for better fake news detection.

problem Detecting disinformation on social media using GNNs.

method Integrates Transformer-based textual features into GNNs.

result Contextual text representations improve GNN performance by 33.8% in Macro F1.

disinformation social media graph neural networks Transformer fake news

2024-10-24abs ↗pdf ↗

Modelling election dynamics and the impact of disinformationphysics.soc-ph

Complex dynamical systems driven by the unravelling of information can be modelled effectively by treating the underlying flow of information as the model input. Complicated dynamical behaviour of the system is then derived as an output. Such an information-based approach is in sharp contrast to the conventional mathem…

2019-04-21abs ↗pdf ↗

Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networkscs.CV

HMN detects fake faces using memory networks and visual cues.

problem Detecting fake faces from unseen manipulation types.

method Hierarchical Memory Network (HMN) architecture.

result Superior performance in fake and fraudulent face detection.

face detection memory networks neural memories fake content convolutional neural networks

2019-11-17abs ↗pdf ↗

Towards Explainable Fact Checkingcs.CL

Research aims to make fact-checking models more transparent.

problem Making fact-checking models explainable in a complex field.

method Combines fact-checking methods with explainable AI techniques.