Publication test
A Weakly Supervised and Deep Learning Method for an Additive Topic Analysis of Large Corpora
Citation:
Fogel-Dror Y, SR, Shenhav , and T., Sheafer . 2021. “A Weakly Supervised And Deep Learning Method For An Additive Topic Analysis Of Large Corpora”. Computational Communication Research, 3, 1, Pp. 29-59. https://computationalcommunication.org/ccr/article/view/34/17.
Exploring Factual Entailment with NLI: A News Media Study
Citation:
Guy Mor-Lan and Levi, Effi . 2024. “Exploring Factual Entailment With Nli: A News Media Study”. In Proceedings Of The 13Th Joint Conference On Lexical And Computational Semantics (*Sem 2024), Pages 190–199, Mexico City, Mexico. Association For Computational Linguistics. 10.18653/v1/2024.starsem-1.15.
Talking representation: How legislators re-establish responsiveness in cases of representational deficits
Citation:
Reut Itzkovitch-Malka, Mor-Lan, Guy , Oshri, Odelia , and Shenhav, Shaul . 2024. “Talking Representation: How Legislators Re-Establish Responsiveness In Cases Of Representational Deficits”. European Journal Of Political Research, 63, Pp. 950-972. https://doi.org/10.1111/1475-6765.12648.
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora
Citation:
Dror K Markus, Levi, Effi , Sheafer, Tamir , and Shenhav, Shaul R. 2024. “Reap The Wild Wind: Detecting Media Storms In Large-Scale News Corpora”. Arxiv Preprint Arxiv:2404.09299.
Voices from the margins: How national stories are linked with support for populist radical right parties
Citation:
Odelia Oshri, Amsalem, Eran , and Shenhav, Shaul R. 2024. “Voices From The Margins: How National Stories Are Linked With Support For Populist Radical Right Parties”. Plos One, 19, Pp. e0305554.
The Pitkinian Public: Representation in the eyes of citizens
Citation:
Liron Lavi, Treger, Clareta , Rivlin-Angert, Naama , Sheafer, Tamir , Waismel-Manor, Israel , Shenhav, Shaul , Harsgor, Liran , and Shamir, Michal . 2024. “The Pitkinian Public: Representation In The Eyes Of Citizens”. European Political Science, Pp. 1–21.
IsraParlTweet: The Israeli Parliamentary and Twitter Resource
Citation:
Guy Mor-Lan, Levi, Effi , Sheafer, Tamir , and Shenhav, Shaul R. 2024. “Israparltweet: The Israeli Parliamentary And Twitter Resource”. In Proceedings Of The 2024 Joint International Conference On Computational Linguistics, Language Resources And Evaluation (Lrec-Coling 2024), Pp. 9372–9381. Torino, Italia: ELRA and ICCL. https://aclanthology.org/2024.lrec-main.819.
Abstract:
We introduce IsraParlTweet, a new linked corpus of Hebrew-language parliamentary discussions from the Knesset (Israeli Parliament) between the years 1992-2023 and Twitter posts made by Members of the Knesset between the years 2008-2023, containing a total of 294.5 million Hebrew tokens. In addition to raw text, the corpus contains comprehensive metadata on speakers and Knesset sessions as well as several linguistic annotations. As a result, IsraParlTweet can be used to conduct a wide variety of quantitative and qualitative analyses and provide valuable insights into political discourse in Israel.Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media
Citation:
Gal Ron, Levi, Effi , Oshri, Odelia , and Shenhav, Shaul . 2023. “Factoring Hate Speech: A New Annotation Framework To Study Hate Speech In Social Media”. The 7Th Workshop On Online Abuse And Harms (Woah), Pages 215–220, Toronto, Canada. Association For Computational Linguistics. https://aclanthology.org/2023.woah-1.21.
Abstract:
In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twitter posts containing hateful expressions directed at Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical analysis of the annotated dataset as well as discuss annotation examples, and conclude by discussing promising directions for future work.
People’s sense of political representation and national stories: The case of Israel
Citation:
Yael R Kaplan, Sheafer, Tamir , Waismel-Manor, Israel , and Shenhav, Shaul R. 2023. “People’s Sense Of Political Representation And National Stories: The Case Of Israel”. International Political Science Review, Pp. 01925121231185576.
Leveraging Researcher Domain Expertise to Annotate Concepts Within Imbalanced Data
Citation:
Dror K Markus, Mor-Lan, Guy , Sheafer, Tamir , and Shenhav, Shaul R. 2023. “Leveraging Researcher Domain Expertise To Annotate Concepts Within Imbalanced Data”. Communication Methods And Measures, 17, Pp. 250–271.
What Happens to Peace When the Process is Stalled: Competing International Approaches to the Israeli–Palestinian Conflict, 1996–2021
Citation:
L. Lehrs, Markus, D.K. , Miodownik, D. , Sheafer, T. , and Shenhav, S. R. . 5/11/2022. “What Happens To Peace When The Process Is Stalled: Competing International Approaches To The Israeli&Ndash;Palestinian Conflict, 1996&Ndash;2021”. Journal Of Global Security Studies, 7, 2. https://academic.oup.com/jogss/article/7/2/ogac008/6583549?login=true.
Mediated representation in the Age of social media: How connection with politicians contributes to citizens’ feelings of representation. Evidence from a longitudinal study
Citation:
Shira Dvir-Gvirsman, Tsuriel, Keren , Sheafer, Tamir , Shenhav, Shaul , Zoizner, Alon , Lavi, Liron , Shamir, Michal , and Waismel-Manor, Israel . 2022. “Mediated Representation In The Age Of Social Media: How Connection With Politicians Contributes To Citizens’ Feelings Of Representation. Evidence From A Longitudinal Study”. Political Communication, 39, Pp. 779–800.
Three in a (Right-Wing) Boat: Media, Politicians, and the Public in the Age of Digital Communication 1
Citation:
Alon Zoizner, Tsuriel, Keren , Markus, Dror K, Porzycki, Vered , Mor-Lan, Guy , Green, Avishai , Levi, Effi , Tsfati, Yariv , Waismel-Manor, Israel , Sheafer, Tamir , and others, . 2022. “Three In A (Right-Wing) Boat: Media, Politicians, And The Public In The Age Of Digital Communication 1”. In The Elections In Israel, 2019–2021, Pp. 259–282. Routledge.
Detecting narrative elements in informational text
Citation:
Effi Levi, Mor, Guy , Sheafer, Tamir , and Shenhav, Shaul . 2022. “Detecting Narrative Elements In Informational Text”. In Findings Of The Association For Computational Linguistics: Naacl 2022, Pp. 1755–1765.
Detecting narrative elements in informational text
Citation:
Effie Levi, Mor-Lan, Guy , Sheafer, Tamir , and Shenhav, Shaul R. . 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.
Story incentive: the effect of national stories on voter turnout
Citation:
Shaul R Shenhav, Sheafer, Tamir , Zoizner, Alon , van Hoof, Anita , Jan Kleinnijenhuis, , Kaplan, Yael Rivkah , and Hopmann, David Nicolas . 2021. “Story Incentive: The Effect Of National Stories On Voter Turnout”. European Political Science Review, 13, 2, Pp. 249–264.
Strategy news is good news: how journalistic coverage of politics reduces affective polarization
Citation:
Alon Zoizner, Shenhav, Shaul R, Fogel-Dror, Yair , and Sheafer, Tamir . 2021. “Strategy News Is Good News: How Journalistic Coverage Of Politics Reduces Affective Polarization”. Political Communication, 38, 5, Pp. 604–623.
Strategy news is good news: How journalistic coverage of politics reduces affective polarization
Citation:
Zoizner A, S, Shenhav , Y, Fogel-Dror , and T, Sheafer . 2020. “Strategy News Is Good News: How Journalistic Coverage Of Politics Reduces Affective Polarization”. Political Communication, 2020, Pp. 1-20. https://tamirsheafer.huji.ac.il/publications/strategy-news-good-news-how-journalistic-coverage-politics-reduces.
Fine-Grained Analysis of Diversity Levels in the News
Citation:
Amsalem E, S, Shenhav , Y, Fogel-Dror , and T, Sheafer . 2020. “Fine-Grained Analysis Of Diversity Levels In The News”. Communication Methods And Measures, 2020, Pp. 1-19. https://tamirsheafer.huji.ac.il/publications/fine-grained-analysis-diversity-levels-news.
The Effect of Politicians’ Personality on Their Media Visibility
Citation:
Amsalem E, A, Zoizner , T, Sheafer , S, Walgrave , and P., Lowen . 2020. “The Effect Of Politicians&Rsquo; Personality On Their Media Visibility”. Communication Research [Internet], 2020;47, 7, Pp. 1079-1102. https://tamirsheafer.huji.ac.il/publications/effect-politicians%E2%80%99-personality-their-media-visibility.
Narrative Analysis, Oxford Bibliographies in Political Science. Ed. Sandy Maisel
Compres: A dataset for narrative structure in news
Citation:
Effi Levi, Mor, Guy , Shenhav, Shaul , and Sheafer, Tamir . 2020. “Compres: A Dataset For Narrative Structure In News”. Arxiv Preprint Arxiv:2007.04874.
Role-based Association of Verbs, Actions, and Sentiments with Entities in Political Discourse
Citation:
Y. Fogel-Dror, Shenhav, S. , Sheafer, T. , and Van Atteveldt, W. . 2019. “Role-Based Association Of Verbs, Actions, And Sentiments With Entities In Political Discourse”. Communication Methods And Measures, 13, 2, Pp. 63-82. https://www.tandfonline.com/doi/full/10.1080/19312458.2018.1536973.
Theory-driven Text Classification with Minimal Human Effort
Citation:
Yair Fogel-Dror, Shenhav, Shaul , and Sheafer, Tamir . 2018. “Theory-Driven Text Classification With Minimal Human Effort”. In The 2018 Annual Meeting Of The International Communication Association.
Clause analysis: Using syntactic information to automatically extract source, subject, and predicate from texts with an application to the 2008-2009 Gaza War
Citation:
W. Van Atteveldt, Sheafer, T. , Shenhav, S. , and Fogel-Dror, Y. . 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. https://www.cambridge.org/core/journals/political-analysis/article/clause-analysis-using-syntactic-information-to-automatically-extract-source-subject-and-predicate-from-texts-with-an-application-to-the-20082009-gaza-war/164AE1B0128828847CF33EDFF5F019E6.
narratives and multiplicity reply
Citation:
Shaul R Shenhav. 2017. “Narratives And Multiplicity Reply”.
Method and system for applying role based association to entities in textual documents - US Patent 9,772,996
Citation:
Tamir Sheafer, Shenhav, Shaul , and Fogel-Dror, Yair . 2017. “Method And System For Applying Role Based Association To Entities In Textual Documents&Nbsp;-&Nbsp;Us Patent 9,772,996”.
Notes:
US Patent App. 15/613,355Still united in diversity? The longer a country is part of the EU, the stronger its citizens support liberal democratic values
Citation:
Odelia Oshri, Sheafer, Tamir , and Shenhav, Shaul . 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.
Clause analysis: using syntactic information to enrich frequency-based automatic content analysis
Citation:
Wouter van Atteveldt, Sheaferm, Tamir , Shenhav, Shaul , and Fogel-Dror, Yair . 2015. “Clause Analysis: Using Syntactic Information To Enrich Frequency-Based Automatic Content Analysis”. In Symposium New Frontiers Of Automated Content Analysis In The Social Sciences.
Analyzing social narratives
Citation:
Shaul R Shenhav. 2015. “Analyzing Social Narratives”.
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