Search Results for author: Tamir Sheafer

Found 3 papers, 1 papers with code

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

no code implementations14 Apr 2024 Dror K. Markus, Effi Levi, Tamir Sheafer, Shaul R. Shenhav

Both the method and dataset offer the basis for comprehensive empirical research into the concept of media storms, including characterizing them and predicting their outbursts and durations, in mainstream media or social media platforms.

Unsupervised Anomaly Detection

Detecting Narrative Elements in Informational Text

1 code implementation Findings (NAACL) 2022 Effi Levi, Guy Mor, Tamir Sheafer, Shaul R. Shenhav

For this purpose, we designed a new multi-label narrative annotation scheme, better suited for informational text (e. g. news media), by adapting elements from the narrative theory of Labov and Waletzky (Complication and Resolution) and adding a new narrative element of our own (Success).

CompRes: A Dataset for Narrative Structure in News

no code implementations9 Jul 2020 Effi Levi, Guy Mor, Shaul Shenhav, Tamir Sheafer

We describe the process in which the dataset was constructed: first, we designed a new narrative annotation scheme, better suited for news media, by adapting elements from the narrative theory of Labov and Waletzky (Complication and Resolution) and adding a new narrative element of our own (Success); then, we used that scheme to annotate a set of 29 English news articles (containing 1, 099 sentences) collected from news and partisan websites.

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