Benjamin Shultz

Foreign Influence & Artificial Intelligence Researcher


Curriculum vitae



Research


Peer-Reviewed Publications

Shultz, B. 2023. An Entity-Aware Approach to Logical Fallacy Detection in Kremlin Social Media Content. Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. DOI: 10.1145/3625007.3627988.

Shultz, B.
2023. In the Spotlight: The Russian Government's Use of Official Twitter Accounts to Shape Conversations About its War in Ukraine. Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation. DOI: 10.1145/3592572.3592843.

Popular Writing

Jankowicz, N. & Shultz, B. 2024. "Tracking the Weaponization of America's Political System in Favor of Disinformation—And Its Export Abroad." Tech Policy Press.

Shultz, B. 2023. "Is the Metaverse Still the Future of Digital Governance in the Post-COVID World?" Public Administration Times Online.

Shultz, B. 2023. "Enhancing Local Government Administration With Large Language Models: A Test Using ChatGPT." Public Administration Times Online.

Shultz, B. 2023. "Addressing the Impacts of Election Denialism on Local Government." Public Administration Times Online.

Shultz, B. 2022. "Meme Warfare: What Western Governments Can Learn from the NAFO Alliance." International Policy Digest.

Shultz, B. 2022. "Law Enforcement Navigates Criminal Activity in Virtual Reality. World Customs Organization." Case study in the Regional Intelligence Liaison Office Western Europe Magazine.
Shultz, B. 2021. "Drug Trafficking via Online Video Games. World Customs Organization." Case study in the Illicit Trade Report 2021.

Conference Presentations

Shultz, B. "Comparing the Belarusian & Russian Regimes’ Framing of President Biden Withdrawing as a 2024 Candidate." DAAD Go East Summer School on Platformization, Digital Disinformation and Non-Democratic Politics. 14-27 July 2024, European Humanities University, Vilnius, Lithuania.

Ettinger, J. & Shultz, B. "Enhanced Sentiment Analysis for Detecting Extreme Content Online." 3rd Annual Informed Democracy & Social-Cybersecurity Conference (IDeaS). 20-22 September 2023, Carnegie Mellon University, Pittsburgh, Pa.
Ettinger, J., Koralnik, S., Margolin, M., et al., Shultz, B. "Antisemitic Hate Groups: Associated Narratives, Entities, Infrastructures, Sentiments, and Emotions." 3rd Annual Informed Democracy & Social-Cybersecurity Conference (IDeaS). 20-22 September 2023, Carnegie Mellon University, Pittsburgh, Pa.
Hodges, E. & Shultz, B. "Responding to Ransomware Attacks in the Healthcare & Public Health Critical Infrastructure Sector." Cybersecurity Awareness Worldwide 2021 Policy Competition (CSAW’21). 10-11 November 2021, New York University, New York, N.Y.
Shultz, B. "Examining Differences in Health Outcomes Across Varying Welfare Regimes." 44th Annual Social Science Student Symposium (S4). 2 May 2019, San Francisco State University, San Francisco, Ca.

Datasets

Shultz, B. & Li, E. R. 2024. "Russian Foreign Ministry Twitter Accounts Dataset" (Version V2). Zenodo. DOI: 10.5281/zenodo.11479540.

Shultz, B. 2023. "RuFal_fallacy_detection." Produced in conjunction with An Entity-Aware Approach to Logical Fallacy Detection in Kremlin Social Media Content. HuggingFace.
3rd Conference on Informed Democracy & Social-cybersecurity, 19 September 2023 in Pittsburgh, Pa.



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