most citedWith Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Social Hatred: Efficient Multimodal Detection of Hatemongers

Tom Marzea, Abraham Israeli, Oren Tsur

Automatic detection of online hate speech serves as a crucial step in the detoxification of the online discourse. Moreover, accurate classification can promote a better understandi…

cs.CL20241 cited

Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings

Guy Barel, Oren Tsur, Dan Vilenchik

Stance detection plays a pivotal role in enabling an extensive range of downstream applications, from discourse parsing to tracing the spread of fake news and the denial of scienti…

cs.SI20231 cited

With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns

Abraham Israeli, Oren Tsur

Online communities develop unique characteristics, establish social norms, and exhibit distinct dynamics among their members. Activity in online communities often results in concre…

cs.CL2023

A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing

Yoav Tulpan, Oren Tsur

Online social platforms provide a bustling arena for information-sharing and for multi-party discussions. Various frameworks for dialogic discourse parsing were developed and used…

cs.CL2021

STEM: Unsupervised STructural EMbedding for Stance Detection

Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik +1

Stance detection is an important task, supporting many downstream tasks such as discourse parsing and modeling the propagation of fake news, rumors, and science denial. In this pap…