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David Muchlinski
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Comparing random forest with logistic regression for predicting class-imbalanced civil war onset data
D Muchlinski, D Siroky, J He, M Kocher
Political Analysis 24 (1), 87-103, 2016
3492016
Latent hatred: A benchmark for understanding implicit hate speech
M ElSherief, C Ziems, D Muchlinski, V Anupindi, J Seybolt, ...
arXiv preprint arXiv:2109.05322, 2021
2202021
Electoral violence prevention: what works?
S Birch, D Muchlinski
Democratization 25 (3), 385-403, 2018
1102018
The dataset of countries at risk of electoral violence
S Birch, D Muchlinski
Terrorism and political violence 32 (2), 217-236, 2020
922020
Introducing the targeted mass killing data set for the study and forecasting of mass atrocities
C Butcher, BE Goldsmith, S Nanlohy, A Sowmya, D Muchlinski
Journal of Conflict Resolution 64 (7-8), 1524-1547, 2020
552020
Grievances and opportunities: Religious violence across political regimes
D Muchlinski
Politics and Religion 7 (4), 684-705, 2014
402014
We need to go deeper: Measuring electoral violence using convolutional neural networks and social media
I Muchlinski, David., Yang, Xiao., Birch, Sarah., Macdonald, Craig., & Ounis
Political Science Research and Methods 9 (1), 122-139, 2021
382021
Electoral violence: Patterns and trends 1
S Birch, D Muchlinski
Electoral integrity and political regimes, 100-112, 2017
222017
Swords and plowshares: Property rights, collective action, and nonstate governance in the Jewish community of Palestine 1920–1948
D Muchlinski
American Political Science Review 115 (4), 1373-1387, 2021
72021
Seeing the forest through the trees
DA Muchlinski, D Siroky, J He, MA Kocher
Political Analysis 27 (1), 111-113, 2019
72019
Machine Learning and Deep Learning, Elgar Encycl
D Muchlinski
Technol. Polit, 114118, 2022
6*2022
Swords and Plowshares Jewish non-Weberian Governance in British Palestine
D Muchlinski
Arizona State University, 2013
32013
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
H Hegre, P Vesco, M Colaresi, J Vestby, A Timlick, NS Kazmi, F Becker, ...
arXiv preprint arXiv:2407.11045, 2024
22024
Codebook for the Dataset of Countries at Risk for Electoral Violence (CREV)
S Birch, D Muchlinski
version, 2017
22017
A Zero-Inflated Poisson Generalized Additive Model for Forecasting Conflict Fatalities
D Muchlinski, C Thornhill
June, 2024
12024
From academia to policy makers: a methodology for real-time forecasting of infrequent events
A Krzywicki, D Muchlinski, BE Goldsmith, A Sowmya
Journal of Computational Social Science 5 (2), 1489-1510, 2022
12022
Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles
J Kruk, M Marchini, R Magu, C Ziems, D Muchlinski, D Yang
arXiv preprint arXiv:2406.06840, 2024
2024
Response to Kapoor and Narayanan
M Muchlinski, David, Siroky, David, He, Jingrui, Kocher
https://www.researchgate.net/publication …, 2022
2022
Understanding Online Information Operations: Development of an Influence Network for Scientific Inquiry Testing Environment (INSITE)
C Crooks, T McNeil, B Sawyer, M Canham, D Muchlinski
2020 IEEE International Conference on Big Data (Big Data), 4318-4324, 2020
2020
The Politics and Effects of Religious Grievance
D Muchlinski
Oxford Research Encyclopedia of Politics, 2019
2019
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