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Joshua A. Tucker
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Journal Articles
- 2021
- [j3]Cody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker:
YouTube Recommendations and Effects on Sharing Across Online Social Platforms. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 11:1-11:26 (2021) - 2017
- [j2]Denis Stukal, Sergey Sanovich, Richard Bonneau, Joshua A. Tucker:
Detecting Bots on Russian Political Twitter. Big Data 5(4): 310-324 (2017) - 2015
- [j1]Cristian Vaccari, Augusto Valeriani, Pablo Barberá, Richard Bonneau, John T. Jost, Jonathan Nagler, Joshua A. Tucker:
Political Expression and Action on Social Media: Exploring the Relationship Between Lower- and Higher-Threshold Political Activities Among Twitter Users in Italy. J. Comput. Mediat. Commun. 20(2): 221-239 (2015)
Conference and Workshop Papers
- 2023
- [c5]Cody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker:
Measuring the Ideology of Audiences for Web Links and Domains Using Differentially Private Engagement Data. ICWSM 2023: 72-83 - 2022
- [c4]Patrick Y. Wu, Richard Bonneau, Joshua A. Tucker, Jonathan Nagler:
Dictionary-Assisted Supervised Contrastive Learning. EMNLP 2022: 10217-10235 - [c3]Zhouhan Chen, Haohan Chen, Joshua A. Tucker, Juliana Freire, Jonathan Nagler:
What we learned about The Gateway Pundit from its own web traffic data. ICWSM Workshops 2022 - 2021
- [c2]Zhouhan Chen, Kevin Aslett, Jen Rosiere Reynolds, Juliana Freire, Jonathan Nagler, Joshua A. Tucker, Richard Bonneau:
An Automatic Framework to Continuously Monitor Multi-Platform Information Spread. MISINFO@WWW 2021 - [c1]Joshua A. Tucker:
Measuring Belief in Fake News in Real-Time (Extended Abstract). MISINFO@WWW 2021
Parts in Books or Collections
- 2016
- [p1]Joshua A. Tucker, Jonathan Nagler, Megan Macduffee Metzger, Pablo Barberá, Duncan Penfold-Brown, Richard Bonneau:
Big Data, Social Media, and Protest: Foundations for a Research Agenda. Computational Social Science 2016: 199-224
Informal and Other Publications
- 2023
- [i6]Patrick Y. Wu, Joshua A. Tucker, Jonathan Nagler, Solomon Messing:
Large Language Models Can Be Used to Estimate the Ideologies of Politicians in a Zero-Shot Learning Setting. CoRR abs/2303.12057 (2023) - [i5]Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker, Solomon Messing:
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scaling of Texts with Large Language Models. CoRR abs/2310.12049 (2023) - 2022
- [i4]Zhouhan Chen, Haohan Chen, Juliana Freire, Jonathan Nagler, Joshua A. Tucker:
Understanding how people consume low quality and extreme news using web traffic data. CoRR abs/2201.04226 (2022) - [i3]Patrick Y. Wu, Richard Bonneau, Joshua A. Tucker, Jonathan Nagler:
Dictionary-Assisted Supervised Contrastive Learning. CoRR abs/2210.15172 (2022) - 2020
- [i2]Cody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker:
YouTube Recommendations and Effects on Sharing Across Online Social Platforms. CoRR abs/2003.00970 (2020) - 2013
- [i1]Andrew T. Little, Joshua A. Tucker, Tom LaGatta:
Elections, Protest, and Alternation of Power. CoRR abs/1302.0250 (2013)
Coauthor Index
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