Search Results for author: Yoan Dinkov

Found 7 papers, 4 papers with code

Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels

no code implementations RANLP 2021 Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov

We propose a novel framework for predicting the factuality of reporting of news media outlets by studying the user attention cycles in their YouTube channels.

Detecting Abusive Language on Online Platforms: A Critical Analysis

no code implementations27 Feb 2021 Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein

Abusive language on online platforms is a major societal problem, often leading to important societal problems such as the marginalisation of underrepresented minorities.

Abusive Language Natural Language Processing

EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering

2 code implementations EMNLP 2020 Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov

We perform various experiments with existing top-performing multilingual pre-trained models and we show that EXAMS offers multiple challenges that require multilingual knowledge and reasoning in multiple domains.

Question Answering Transfer Learning

Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information

1 code implementation20 Oct 2019 Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov

Our analysis shows that the use of acoustic signal helped to improve bias detection by more than 6% absolute over using text and metadata only.

Bias Detection Multimodal Deep Learning

Detecting Toxicity in News Articles: Application to Bulgarian

1 code implementation RANLP 2019 Yoan Dinkov, Ivan Koychev, Preslav Nakov

Online media aim for reaching ever bigger audience and for attracting ever longer attention span.

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