37 citations · 114 across the 19 of their papers we have counts for
20 papers
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…
Data Augmentation for Modeling Human Personality: The Dexter Machine
Yair Neuman, Vladyslav Kozhukhov, Dan Vilenchik
Modeling human personality is important for several AI challenges, from the engineering of artificial psychotherapists to the design of persona bots. However, the field of computat…
Revisiting Information Cascades in Online Social Networks
Michael Sidorov, Dan Vilenchik
It's by now folklore that to understand the activity pattern of a user in an online social network (OSN) platform, one needs to look at his friends or the ones he follows. The comm…
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms
Kiril Danilchenko, Michael Segal, Dan Vilenchik
E-commerce is the fastest-growing segment of the economy. Online reviews play a crucial role in helping consumers evaluate and compare products and services. As a result, fake revi…
Welfare vs. Representation in Participatory Budgeting
Roy Fairstein, Reshef Meir, Dan Vilenchik +1
Participatory budgeting (PB) is a democratic process for allocating funds to projects based on the votes of members of the community. Different rules have been used to aggregate pa…
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…