activity
20192021
most citedIdentifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues

19 citations · 19 across the 2 of their papers we have counts for

collaborators

5 papers

cs.IR2021

Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce

Uriel Singer, Haggai Roitman, Yotam Eshel +5

In e-commerce, the watchlist enables users to track items over time and has emerged as a primary feature, playing an important role in users' shopping journey. Watchlist items typi…

cs.IR2021

PreSizE: Predicting Size in E-Commerce using Transformers

Yotam Eshel, Or Levi, Haggai Roitman +1

Recent advances in the e-commerce fashion industry have led to an exploration of novel ways to enhance buyer experience via improved personalization. Predicting a proper size for a…

cs.CL2020

A Multi-Modal Method for Satire Detection using Textual and Visual Cues

Lily Li, Or Levi, Pedram Hosseini +1

Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences. We observe that the images used in…

cs.SI2020

Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting

Or Levi, Sardar Hamidian, Pedram Hosseini

The reports of Russian interference in the 2016 United States elections brought into the center of public attention concerns related to the ability of foreign actors to increase so…

cs.CL201919 cited

Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues

Or Levi, Pedram Hosseini, Mona Diab +1

The blurry line between nefarious fake news and protected-speech satire has been a notorious struggle for social media platforms. Further to the efforts of reducing exposure to mis…