2 citations · 3 across the 9 of their papers we have counts for
6 papers · 1 filter
Adversarial Creation and Detection of AI-Generated Social Bot Content
Mykola Trokhymovych, Ricardo Baeza-Yates, Alessandro Flammini +2
The convergence of large language models and social bots allows malicious actors to manipulate the information ecosystem by generating human-like content at scale. Existing models…
An End-to-End Ukrainian RAG for Local Deployment. Optimized Hybrid Search and Lightweight Generation
Mykola Trokhymovych, Yana Oliinyk, Nazarii Nyzhnyk
This paper presents a highly efficient Retrieval-Augmented Generation (RAG) system built specifically for Ukrainian document question answering, which achieved 2nd place in the UNL…
Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine
Kateryna Akhynko, Oleksandr Kosovan, Mykola Trokhymovych
This paper presents one of the top-performing solutions to the UNLP 2025 Shared Task on Detecting Manipulation in Social Media. The task focuses on detecting and classifying rhetor…
Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection
Mykola Trokhymovych, Lydia Pintscher, Ricardo Baeza-Yates +1
We introduce a next-generation vandalism detection system for Wikidata, one of the largest open-source structured knowledge bases on the Web. Wikidata is highly complex: its items…
Characterizing Knowledge Manipulation in a Russian Wikipedia Fork
Mykola Trokhymovych, Oleksandr Kosovan, Nathan Forrester +3
Wikipedia is powered by MediaWiki, a free and open-source software that is also the infrastructure for many other wiki-based online encyclopedias. These include the recently launch…
An Open Multilingual System for Scoring Readability of Wikipedia
Mykola Trokhymovych, Indira Sen, Martin Gerlach
With over 60M articles, Wikipedia has become the largest platform for open and freely accessible knowledge. While it has more than 15B monthly visits, its content is believed to be…