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Ritumbra Manuvie

dblp:339/0426 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Network security › disinformation
disinformation detection
0.912025
Disinformation and Misinformation in the Age of Generative AI · WSDM 2025
Security and privacy of machine learning › generative model security
generative model misuse
0.912025
Disinformation and Misinformation in the Age of Generative AI · WSDM 2025
Machine learning › Trustworthy machine learning
robustness
0.312025
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
YearPublicationVenuePosition
2025 Disinformation and Misinformation in the Age of Generative AI
abstract
The 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
WSDM5