activity
20222025
most citedDetecting Narrative Elements in Informational Text

7 citations · 7 across the 6 of their papers we have counts for

collaborators

7 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

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…