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Publications

Working Paper
E. Levi, G. Mor, S. R. Shenhav, and T. Sheafer. Working Paper. “CompRes: A Dataset for Narrative Structure in News”.
Submitted
D.K Markus, G Mor, T. Sheafer, and S Shenhav. Submitted. “Efficient Annotation of Theory-Driven Concepts: Utilizing Domain Expertise and Document-Embeddings to Select Texts for Labelling”.
2022
L. Lehrs, D.K. Markus, D. Miodownik, T. Sheafer, and S. R. Shenhav. 5/11/2022. “What Happens to Peace When the Process is Stalled: Competing International Approaches to the Israeli–Palestinian Conflict, 1996–2021.” Journal of Global Security Studies, 7, 2. Publisher's Version
Effi Levi, Guy Mor, Tamir Sheafer, and Shaul Shenhav. 2022. “Detecting narrative elements in informational text.” In Findings of the Association for Computational Linguistics: NAACL 2022, Pp. 1755–1765.
Effie Levi, Guy Mor-Lan, Tamir Sheafer, and Shaul R. Shenhav. 2022. “Detecting narrative elements in informational text.” In Findings of the Association for Computational Linguistics: NAACL 2022. Association for Computational Linguistics. NAACL 2022. Association for Computational Linguistics.
2021
Shaul R Shenhav, Tamir Sheafer, Alon Zoizner, Anita van Hoof, Jan Kleinnijenhuis, Yael Rivkah Kaplan, and David Nicolas Hopmann. 2021. “Story incentive: the effect of national stories on voter turnout.” European Political Science Review, 13, 2, Pp. 249–264.
Alon Zoizner, Shaul R Shenhav, Yair Fogel-Dror, and Tamir Sheafer. 2021. “Strategy news is good news: how journalistic coverage of politics reduces affective polarization.” Political Communication, 38, 5, Pp. 604–623.
Fogel-Dror Y, Shenhav SR, and Sheafer T. 2021. “A Weakly Supervised and Deep Learning Method for an Additive Topic Analysis of Large Corpora.” Computational Communication Research, 3, 1, Pp. 29-59. Publisher's Version
2020
Effi Levi, Guy Mor, Shaul Shenhav, and Tamir Sheafer. 2020. “Compres: A dataset for narrative structure in news.” arXiv preprint arXiv:2007.04874.
Amsalem E, Shenhav S, Fogel-Dror Y, and Sheafer T. 2020. “Fine-Grained Analysis of Diversity Levels in the News.” Communication Methods and Measures, 2020, Pp. 1-19. Publisher's Version
Zoizner A, Shenhav S, Fogel-Dror Y, and Sheafer T. 2020. “Strategy news is good news: How journalistic coverage of politics reduces affective polarization.” Political Communication, 2020, Pp. 1-20. Publisher's Version
Amsalem E, Zoizner A, Sheafer T, Walgrave S, and Lowen P. 2020. “The Effect of Politicians’ Personality on Their Media Visibility.” Communication Research [Internet], 2020;47, 7, Pp. 1079-1102. Publisher's Version
Shaul Shenhav. 2020. “Narrative Analysis, Oxford Bibliographies in Political Science. Ed. Sandy Maisel”. Publisher's Version
2019
Y. Fogel-Dror, S. Shenhav, T. Sheafer, and W. Van Atteveldt. 2019. “Role-based Association of Verbs, Actions, and Sentiments with Entities in Political Discourse.” Communication Methods and Measures, 13, 2, Pp. 63-82. Publisher's Version
2018
Yair Fogel-Dror, Shaul Shenhav, and Tamir Sheafer. 2018. “Theory-driven Text Classification with Minimal Human Effort.” In The 2018 Annual Meeting of the International Communication Association.
2017
W. Van Atteveldt, T. Sheafer, S. Shenhav, and Y. Fogel-Dror. 2017. “Clause analysis: Using syntactic information to automatically extract source, subject, and predicate from texts with an application to the 2008-2009 Gaza War.” Political Analysis, 25, 2, Pp. 207-222. Publisher's Version
Shaul R Shenhav. 2017. “narratives and multiplicity reply”.
Tamir Sheafer, Shaul Shenhav, and Yair Fogel-Dror. 2017. “Method and system for applying role based association to entities in textual documents - US Patent 9,772,996”.
2016
Odelia Oshri, Tamir Sheafer, and Shaul Shenhav. 2016. “Still united in diversity? The longer a country is part of the EU, the stronger its citizens support liberal democratic values.” LSE European Politics and Policy (EUROPP) Blog.
2015
Shaul R Shenhav. 2015. “Analyzing social narratives”.