---
title: "Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)"
authors:
  - "Miro Mannino"
  - "Junior Garcia"
  - "Reem Hazim"
  - "Azza Abouzied"
  - "Paolo Papotti"
doi: "10.24963/ijcai.2025/1218"
url: "https://ijcai.org/proceedings/2025/1218"
pdf: "https://ijcai.org/proceedings/2025/1218.pdf"
venue: "Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"
year: 2025
pages: "10927-10931"
track: "Sister Conferences Best Papers"
keywords:
  - "Sister Conferences Best Papers: Multidisciplinary Topics and Applications"
  - "Sister Conferences Best Papers: Search"
  - "Sister Conferences Best Papers: Knowledge Representation and Reasoning"
---

# 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*, pages 10927-10931. DOI: [10.24963/ijcai.2025/1218](https://doi.org/10.24963/ijcai.2025/1218)

## Abstract

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.