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Preslav Nakov

Bulgarian Academy of Sciences

103 papers hereh-index 7319.5k citations296 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author5
  • first author4
  • middle author29
  • last author60

Across the 98 of 103 papers where every author was matched, so the position is known.

fields
  • cs.CL91
  • cs.IR5
  • cs.SI4
  • cs.LG2
  • cs.AI1
affiliations
  • Bulgarian Academy of Sciences
  • Hamad bin Khalifa University
  • University of California at Berkeley
  • Sofia University
  • Qatar Computing Research Institute
  • Mohamed bin Zayed University of Artificial Intelligence
Homepage
same name
  • Preslav Nakov — 38 papers
  • Preslav Nakov — 30 papers, h 49

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedSemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

448 citations · 1.1k across the 69 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2020

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov +1

We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection. Unlike previous contextual models that have ta…

cs.SI2019

Predicting the Topical Stance of Media and Popular Twitter Users

Peter Stefanov, Kareem Darwish, Atanas Atanasov +1

Discovering the stances of media outlets and influential people on current, debatable topics is important for social statisticians and policy makers. Many supervised solutions exis…

cs.SI2019

Unsupervised User Stance Detection on Twitter

Kareem Darwish, Peter Stefanov, Michaël Aupetit +1

We present a highly effective unsupervised framework for detecting the stance of prolific Twitter users with respect to controversial topics. In particular, we use dimensionality r…

cs.SI2017

Seminar Users in the Arabic Twitter Sphere

Kareem Darwish, Dimitar Alexandrov, Preslav Nakov +1

We introduce the notion of "seminar users", who are social media users engaged in propaganda in support of a political entity. We develop a framework that can identify such users w…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.