53 results on '"Giovanni Da San Martino"'
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2. ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text.
3. Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence.
4. Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic.
5. Detecting and Understanding Harmful Memes: A Survey.
6. Deep active learning for misinformation detection using geometric deep learning.
7. The Spread of Propaganda by Coordinated Communities on Social Media.
8. Automated Fact-Checking for Assisting Human Fact-Checkers.
9. A Survey on Multimodal Disinformation Detection.
10. A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar.
11. Interpretable Propaganda Detection in News Articles.
12. The Role of Context in Detecting Previously Fact-Checked Claims.
13. Detecting Propaganda Techniques in Memes.
14. Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims.
15. Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document.
16. Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection.
17. Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News.
18. SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images.
19. Proppy: Organizing the news based on their propagandistic content.
20. Language processing and learning models for community question answering in Arabic.
21. Tree-Based Kernel for Graphs With Continuous Attributes.
22. CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media.
23. Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms.
24. Overview of CheckThat 2020: Automatic Identification and Verification of Claims in Social Media.
25. We Can Detect Your Bias: Predicting the Political Ideology of News Articles.
26. That is a Known Lie: Detecting Previously Fact-Checked Claims.
27. Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models.
28. Prta: A System to Support the Analysis of Propaganda Techniques in the News.
29. A Survey on Computational Propaganda Detection.
30. SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.
31. Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
32. KELP: a Kernel-based Learning Platform.
33. Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection.
34. Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection.
35. Fine-Grained Analysis of Propaganda in News Articles.
36. Global Thread-Level Inference for Comment Classification in Community Question Answering.
37. Proppy: A System to Unmask Propaganda in Online News.
38. Experiments in Detecting Persuasion Techniques in the News.
39. Tanbih: Get To Know What You Are Reading.
40. Ordered Decompositional DAG kernels enhancements.
41. An empirical study on budget-aware online kernel algorithms for streams of graphs.
42. Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness.
43. An Efficient Topological Distance-Based Tree Kernel.
44. Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics.
45. Cross-Language Question Re-Ranking.
46. Mining Structured Data.
47. Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data.
48. Addressing Community Question Answering in English and Arabic.
49. Ordered Decompositional DAG Kernels Enhancements.
50. An Empirical Study on Budget-Aware Online Kernel Algorithms for Streams of Graphs.
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