16 citations · 20 across the 9 of their papers we have counts for
11 papers
Social Knowledge for Cross-Domain User Preference Modeling
Nir Lotan, Adir Solomon, Ido Guy +1
We demonstrate that user preferences can be represented and predicted across topical domains using large-scale social modeling. Given information about popular entities favored by…
The X Types -- Mapping the Semantics of the Twitter Sphere
Ogen Schlachet Drukerman, Einat Minkov
Social networks form a valuable source of world knowledge, where influential entities correspond to popular accounts. Unlike factual knowledge bases (KBs), which maintain a semanti…
Generative AI for Hate Speech Detection: Evaluation and Findings
Sagi Pendzel, Tomer Wullach, Amir Adler +1
Automatic hate speech detection using deep neural models is hampered by the scarcity of labeled datasets, leading to poor generalization. To mitigate this problem, generative AI ha…
Social World Knowledge: Modeling and Applications
Nir Lotan, Einat Minkov
Social world knowledge is a key ingredient in effective communication and information processing by humans and machines alike. As of today, there exist many knowledge bases that re…
Detecting Multidimensional Political Incivility on Social Media
Sagi Pendzel, Nir Lotan, Alon Zoizner +1
The rise of social media has been argued to intensify uncivil and hostile online political discourse. Yet, to date, there is a lack of clarity on what incivility means in the polit…
SocialVec: Social Entity Embeddings
Nir Lotan, Einat Minkov
This paper introduces SocialVec, a general framework for eliciting social world knowledge from social networks, and applies this framework to Twitter. SocialVec learns low-dimensio…