activity
20202025
most citedDetecting Narrative Elements in Informational Text

7 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2025

You're Not Gonna Believe This: A Computational Analysis of Factual Appeals and Sourcing in Partisan News

Guy Mor-Lan, Tamir Sheafer, Shaul R. Shenhav

While media bias is widely studied, the epistemic strategies behind factual reporting remain computationally underexplored. This paper analyzes these strategies through a large-sca…

cs.CL2025

FactAppeal: Identifying Epistemic Factual Appeals in News Media

Guy Mor-Lan, Tamir Sheafer, Shaul R. Shenhav

How is a factual claim made credible? We propose the novel task of Epistemic Appeal Identification, which identifies whether and how factual statements have been anchored by extern…

cs.CL2025

HebID: Detecting Social Identities in Hebrew-language Political Text

Guy Mor-Lan, Naama Rivlin-Angert, Yael R. Kaplan +2

Political language is deeply intertwined with social identities. While social identities are often shaped by specific cultural contexts and expressed through particular uses of lan…

cs.CL2025

Dialogues of Dissent: Thematic and Rhetorical Dimensions of Hate and Counter-Hate Speech in Social Media Conversations

Effi Levi, Gal Ron, Odelia Oshri +1

We introduce a novel multi-labeled scheme for joint annotation of hate and counter-hate speech in social media conversations, categorizing hate and counter-hate messages into thema…

cs.CL2024★ 1 cited

Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora

Dror K. Markus, Effi Levi, Tamir Sheafer +1

Media Storms, dramatic outbursts of attention to a story, are central components of media dynamics and the attention landscape. Despite their significance, there has been little sy…

cs.CL2023

Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media

Gal Ron, Effi Levi, Odelia Oshri +1

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 Twi…

cs.CL2022★ 7 cited

Detecting Narrative Elements in Informational Text

Effi Levi, Guy Mor, Tamir Sheafer +1

Automatic extraction of narrative elements from text, combining narrative theories with computational models, has been receiving increasing attention over the last few years. Previ…

cs.CL2022

A Decomposition-Based Approach for Evaluating and Analyzing Inter-Annotator Disagreement

Effi Levi, Ari Rappoport, Shaul R. Shenhav

We propose a novel method to conceptually decompose an existing annotation into separate levels, allowing the analysis of inter-annotators disagreement in each level separately. We…

cs.CL2020★ 1 cited

CompRes: A Dataset for Narrative Structure in News

Effi Levi, Guy Mor, Shaul Shenhav +1

This paper addresses the task of automatically detecting narrative structures in raw texts. Previous works have utilized the oral narrative theory by Labov and Waletzky to identify…