485 citations · 763 across the 17 of their papers we have counts for
21 papers
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…
Human-AI Coevolution
Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina +14
Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artif…
Uncovering Bias in Personal Informatics
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali +1
Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down…
Human-Centered Responsible Artificial Intelligence: Current & Future Trends
Mohammad Tahaei, Marios Constantinides, Daniele Quercia +13
In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence. While different research communities may use diffe…
Bots don't Vote, but They Surely Bother! A Study of Anomalous Accounts in a National Referendum
Eduardo Graells-Garrido, Ricardo Baeza-Yates
The Web contains several social media platforms for discussion, exchange of ideas, and content publishing. These platforms are used by people, but also by distributed agents known…
Adaptive Community Search in Dynamic Networks
Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates
Community search is a well-studied problem which, given a static graph and a query set of vertices, requires to find a cohesive (or dense) subgraph containing the query vertices. I…
Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues
Eduardo Graells-Garrido, Ricardo Baeza-Yates, Mounia Lalmas
Web platforms have allowed political manifestation and debate for decades. Technology changes have brought new opportunities for expression, and the availability of longitudinal da…
Predicting risk of dyslexia with an online gamified test
Luz Rello, Ricardo Baeza-Yates, Abdullah Ali +2
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spani…
What kind of content are you prone to tweet? Multi-topic Preference Model for Tweeters
Lorena Recalde, Ricardo Baeza-Yates
According to tastes, a person could show preference for a given category of content to a greater or lesser extent. However, quantifying people's amount of interest in a certain top…
Quality-Efficiency Trade-offs in Machine Learning for Text Processing
Ricardo Baeza-Yates, Zeinab Liaghat
Data mining, machine learning, and natural language processing are powerful techniques that can be used together to extract information from large texts. Depending on the task or p…
FA*IR: A Fair Top-k Ranking Algorithm
Meike Zehlike, Francesco Bonchi, Carlos Castillo +3
In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n >> k candidates, maximizing utility…
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic +6
Sponsored search represents a major source of revenue for web search engines. This popular advertising model brings a unique possibility for advertisers to target users' immediate…
Visual Congruent Ads for Image Search
Yannis Kalantidis, Ayman Farahat, Lyndon Kennedy +2
The quality of user experience online is affected by the relevance and placement of advertisements. We propose a new system for selecting and displaying visual advertisements in im…
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…
Sentiment Visualisation Widgets for Exploratory Search
Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates
This paper proposes the usage of \emph{visualisation widgets} for exploratory search with \emph{sentiment} as a facet. Starting from specific design goals for depiction of ambivale…
Data Portraits and Intermediary Topics: Encouraging Exploration of Politically Diverse Profiles
Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates
In micro-blogging platforms, people connect and interact with others. However, due to cognitive biases, they tend to interact with like-minded people and read agreeable information…
Encouraging Diversity- and Representation-Awareness in Geographically Centralized Content
Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates
In centralized countries, not only population, media and economic power are concentrated, but people give more attention to central locations. While this is not inherently bad, thi…
Finding Intermediary Topics Between People of Opposing Views: A Case Study
Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates
In micro-blogging platforms, people can connect with others and have conversations on a wide variety of topics. However, because of homophily and selective exposure, users tend to…
Evolution of the Chilean Web: A Larger Study
Eduardo Graells-Garrido, Ricardo Baeza-Yates
In this paper we extend our previous and only study on the dynamics of the Chilean Web. This new study doubles the time period and to the best of our knowledge is the only study of…
Learning to Rank Query Recommendations by Semantic Similarities
Sumio Fujita, Georges Dupret, Ricardo Baeza-Yates
Logs of the interactions with a search engine show that users often reformulate their queries. Examining these reformulations shows that recommendations that precise the focus of a…
Capacity Planning for Vertical Search Engines
Claudine Badue, Jussara Almeida, Virgilio Almeida +4
Vertical search engines focus on specific slices of content, such as the Web of a single country or the document collection of a large corporation. Despite this, like general open…