Demo Data from EDBT 2026 / reviewers in the wild / expert
Ritumbra Manuvie
dblp:339/0426
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0003-1299-9248ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Security and privacy of machine learning · 50% Network security · 50% | |
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › disinformation
disinformation detection |
0.9 | 1 | 2025 | Disinformation and Misinformation in the Age of Generative AI · WSDM 2025 |
Security and privacy of machine learning › generative model security
generative model misuse |
0.9 | 1 | 2025 | Disinformation and Misinformation in the Age of Generative AI · WSDM 2025 |
Machine learning › Trustworthy machine learning
robustness |
0.3 | 1 | 2025 | Disinformation and Misinformation in the Age of Generative AI · WSDM 2025 |
Methods — techniques the papers use, named apart from their topics
multimodal learning · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Disinformation and Misinformation in the Age of Generative AIabstractThe rapid rise of generative AI (GenAI) technologies has revolutionized the way content is created and disseminated. As a result, highly convincing human-like malicious content including disinformation, misinformation, and propaganda can now be easily produced and distributed across the web. The diversity of generation models combined with various manipulation strategies applied to different modalities presents significant challenges for fact-checking systems and content moderation. To address this issue, we organize a workshop that focuses on harmful content that has been created intentionally (disinformation) and unintentionally (misinformation) in the era of generative AI. The workshop features specialized tracks on multimodal solutions, investigating narratives, trustworthy AI systems, and policy interventions. By bringing together experts from computer science and law, the workshop offers a comprehensive framework for combating fake content online. Koustav Rudra, Niloy Ganguly, Jeanne Pia Mifsud Bonnici, Eric Müller-Budack, Ritumbra Manuvie |
WSDM | 5 |