David Muchlinski

According to our database, David Muchlinski authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty.

Håvard Hegre, Paola Vesco, Michael Colaresi, Jonas Vestby, Alexa Timlick, Noorain Syed Kazmi, Friederike Becker, Marco Binetti, Tobias Bodentien, Tobias Bohne, Patrick T. Brandt, Thomas Chadefaux, Simon Drauz, Christoph Dworschak, Vito D'Orazio, Cornelius Fritz, Hannah Frank, Kristian Skrede Gleditsch, Sonja Häffner, Martin Hofer, Finn L. Klebe, Luca Macis, Alexandra Malaga, Marius Mehrl, Nils W. Metternich, Daniel Mittermaier, David Muchlinski, Hannes Mueller, Christian Oswald, Paola Pisano, David Randahl, Christopher Rauh, Lotta Rüter, Thomas Schincariol, Benjamin Seimon, Elena Siletti, Marco Tagliapietra, Chandler Thornhill, Johan Vegelius, Julian Walterskirchen

CoRR, 2024

Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles.

Julia Kruk, Michela Marchini, Rijul Magu, Caleb Ziems, David Muchlinski, Diyi Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

From academia to policy makers: a methodology for real-time forecasting of infrequent events.

Alfred Krzywicki, David Muchlinski, Benjamin E. Goldsmith, Arcot Sowmya

J. Comput. Soc. Sci., November, 2022

2021

Latent Hatred: A Benchmark for Understanding Implicit Hate Speech.

Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, Diyi Yang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Understanding Online Information Operations: Development of an Influence Network for Scientific Inquiry Testing Environment (INSITE).

Courtney L. Crooks, Tom McNeil, Ben Sawyer, Matthew Canham, David Muchlinski

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020