Silvia Gargova

AI is the new electricity.
(Andrew Ng)

Research and innovation

Title

Junior Researcher

Department:

Intelligent Government

Introduction

Silvia Gargova is a Junior researcher at the GATE Institute. She has experience in social media data analysis.
Silvia graduated from Sofia University with a Master’s degree in Artificial Intelligence. Her research interests include deep learning and natural language processing, disinformation, media literacy, and DeepFake technologies detection.

Silvia Gargova

Introduction

Research Contributions & Outputs

Detecting Deception in Disinformation across Languages: The Role of Linguistic Markers

BuST: A Siamese Transformer Model for AI Text Detection in Bulgarian

A Comparative Study of Hyperbole Detection Methods: From Rule-Based Approaches through Deep Learning Models to Large Language Models

Deception Detection Using Linguistic Markers

Automatic Detection of the Bulgarian Evidential Renarrative

A Framework for Analysing Disinformation Narratives: Ukrainian Refugees in Bulgaria

Creating a Set of New Disinformation Detection Models and Resources for Bulgarian at GATE Institute

Detecting Textual Deepfakes in Bulgarian

Evaluating Machine Translation for Cross-Lingual Fact-Checking

SM-FEEL-BG – The First Bulgarian Datasets and Classifiers for Detecting Feelings, Emotions, and Sentiments of Bulgarian Social Media Texts

A New Dataset and Classifiers for Emotion Detection and Sentiment Analysis of Bulgarian Social Media Texts

Looking for Traces of Textual Deepfakes in Bulgarian in Social Media

New Bulgarian Resources for Studying Deception and Detecting Disinformation

Evaluation of off-the-shelf language identification tools on Bulgarian social media posts

Expanding the Boundaries of Disinformation Research on Bulgarian Social Media Content: The Experience from an Inspirational Summer School.

Interested in joining our team?