Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)

Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)

Miro Mannino, Junior Garcia, Reem Hazim, Azza Abouzied, Paolo Papotti

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence
Sister Conferences Best Papers. Pages 10927-10931. https://doi.org/10.24963/ijcai.2025/1218

In the evolving landscape of online information, disinformation is a growing concern. A concept central to this challenge is the "data void", a situation where there is a lack of relevant information online regarding certain search terms. This creates an opportunity for misleading or false narratives to fill the gap, often influencing public perception. In this work, we present methods to track and mitigate data voids in Web search settings.
Keywords:
Sister Conferences Best Papers: Multidisciplinary Topics and Applications
Sister Conferences Best Papers: Knowledge Representation and Reasoning
Sister Conferences Best Papers: Search