51 citations · 150 across the 20 of their papers we have counts for
21 papers
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…
Fueling Volunteer Growth: the case of Wikipedia Administrators
Eli Asikin-Garmager, Yu-Ming Liou, Caroline Myrick +3
Wikipedia administrators are vital to the platform's success, performing over a million administrative actions annually. This multi-method study systematically analyzes adminship a…
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…
Constructing a Common Ground: Analyzing the quality and usage of International Auxiliary Languages in Wikipedia
Marta Alet, Diego Saez-Trumper
International Auxiliary Languages (IALs) are constructed languages designed to facilitate communication among speakers of different native languages while fostering equality, effic…
Language-Agnostic Modeling of Wikipedia Articles for Content Quality Assessment across Languages
Paramita Das, Isaac Johnson, Diego Saez-Trumper +1
Wikipedia is the largest web repository of free knowledge. Volunteer editors devote time and effort to creating and expanding articles in more than 300 language editions. As conten…
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia
Aitolkyn Baigutanova, Diego Saez-Trumper, Miriam Redi +2
Information presented in Wikipedia articles must be attributable to reliable published sources in the form of references. This study examines over 5 million Wikipedia articles to a…
Fair multilingual vandalism detection system for Wikipedia
Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou +2
This paper presents a novel design of the system aimed at supporting the Wikipedia community in addressing vandalism on the platform. To achieve this, we collected a massive datase…
Longitudinal Assessment of Reference Quality on Wikipedia
Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper +4
Wikipedia plays a crucial role in the integrity of the Web. This work analyzes the reliability of this global encyclopedia through the lens of its references. We operationalize the…
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
Cheng Hsu, Cheng-Te Li, Diego Saez-Trumper +1
While Wikipedia has been utilized for fact-checking and claim verification to debunk misinformation and disinformation, it is essential to either improve article quality and rule o…
WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia
Mykola Trokhymovych, Diego Saez-Trumper
With the growth of fake news and disinformation, the NLP community has been working to assist humans in fact-checking. However, most academic research has focused on model accuracy…
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
KayYen Wong, Miriam Redi, Diego Saez-Trumper
Wikipedia is the largest online encyclopedia, used by algorithms and web users as a central hub of reliable information on the web. The quality and reliability of Wikipedia content…
Tracking Knowledge Propagation Across Wikipedia Languages
Roldolfo Valentim, Giovanni Comarela, Souneil Park +1
In this paper, we present a dataset of inter-language knowledge propagation in Wikipedia. Covering the entire 309 language editions and 33M articles, the dataset aims to track the…
Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning
Oleksii Moskalenko, Denis Parra, Diego Saez-Trumper
Wikipedia is edited by volunteer editors around the world. Considering the large amount of existing content (e.g. over 5M articles in English Wikipedia), deciding what to edit next…
Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood
Valerio Lorini, Javier Rando, Diego Saez-Trumper +1
The usage of non-authoritative data for disaster management presents the opportunity of accessing timely information that might not be available through other means, as well as the…
Online Disinformation and the Role of Wikipedia
Diego Saez-Trumper
The aim of this study is to find key areas of research that can be useful to fight against disinformation on Wikipedia. To address this problem we perform a literature review tryin…
Why the World Reads Wikipedia: Beyond English Speakers
Florian Lemmerich, Diego Sáez-Trumper, Robert West +1
As one of the Web's primary multilingual knowledge sources, Wikipedia is read by millions of people across the globe every day. Despite this global readership, little is known abou…
Online Petitioning Through Data Exploration and What We Found There: A Dataset of Petitions from Avaaz.org
Pablo Aragón, Diego Sáez-Trumper, Miriam Redi +3
The Internet has become a fundamental resource for activism as it facilitates political mobilization at a global scale. Petition platforms are a clear example of how thousands of p…
Wisdom of the Crowd or Wisdom of a Few? An Analysis of Users' Content Generation
Ricardo Baeza-Yates, Diego Saez-Trumper
In this paper we analyze how user generated content (UGC) is created, challenging the well known {\it wisdom of crowds} concept. Although it is known that user activity in most set…
A Day of Your Days: Estimating Individual Daily Journeys Using Mobile Data to Understand Urban Flow
Eduardo Graells-Garrido, Diego Saez-Trumper
Nowadays, travel surveys provide rich information about urban mobility and commuting patterns. But, at the same time, they have drawbacks: they are static pictures of a dynamic phe…
Measuring Urban Deprivation from User Generated Content
Alessandro Venerandi, Giovanni Quattrone, Licia Capra +2
Measuring socioeconomic deprivation of cities in an accurate and timely fashion has become a priority for governments around the world, as the massive urbanization process we are w…