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

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

doi:10.24963/ijcai.2025/1218

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

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

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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

Keywords

Sister Conferences Best Papers: Multidisciplinary Topics and Applications
Sister Conferences Best Papers: Search
Sister Conferences Best Papers: Knowledge Representation and Reasoning

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.

Miro Mannino, Junior Garcia, Reem Hazim, Azza Abouzied, and Paolo Papotti. 2025. Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract). In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 10927–10931. https://doi.org/10.24963/ijcai.2025/1218

@inproceedings{ijcai2025p1218,
  title     = {Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)},
  author    = {Mannino, Miro and Garcia, Junior and Hazim, Reem and Abouzied, Azza and Papotti, Paolo},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {James Kwok},
  pages     = {10927--10931},
  year      = {2025},
  month     = {8},
  note      = {Sister Conferences Best Papers},
  doi       = {10.24963/ijcai.2025/1218},
  url       = {https://doi.org/10.24963/ijcai.2025/1218},
}

TY  - CPAPER
TI  - Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)
AU  - Mannino, Miro
AU  - Garcia, Junior
AU  - Hazim, Reem
AU  - Abouzied, Azza
AU  - Papotti, Paolo
T2  - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2025
SP  - 10927
EP  - 10931
DO  - 10.24963/ijcai.2025/1218
UR  - https://doi.org/10.24963/ijcai.2025/1218
ER  -