This study introduces a novel method that merges propagation-based transfer learning with word embeddings for rumor detection. This approach aims to use data from languages with abundant resources to ...

This editorial celebrates the first issue of the Information Retrieval Research Journal, IRRJ.

Abstract Urban transportation networks are recognized for their pivotal role in forecasting city indicators and facilitating efficient planning and management. However, despite the increase of methodo...

Complex Event Recognition (CER) establishes a relevant solution for processing streams of events, giving users timely information. CER systems detect patterns in real-time, producing complex events an...

Despite the wide use of k -Nearest Neighbors as classification models, their explainability properties remain poorly understood from a theoretical perspective. While nearest neighbors classifiers offe...

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 launched website Ruwiki, w...

Large Language Models (LLMs) have demonstrated strong performance on English-language medical exams, but their effectiveness in non-English, high-stakes environments is less understood. This study ben...

A high-level précis of this Synthesis Report can be found in the Summary for Policymakers report, Facts, Fakes, and Climate Science. The human response to the climate crisis is being obstructed and d...

This Summary for Policymakers provides a high-level précis of the Synthesis Report, Information Integrity about Climate Science: A Systematic Review. The human response to the climate crisis is being...

ABSTRACT Introduction While operations rank and select on static bitvectors can be supported in constant time, lower bounds show that this is impossible when supporting updates; practical implementati...

This article presents an exploration of the use of pre-trained Large Language Models (LLMs) for crisis classification to address labeled data dependency issues. We present a methodology that enhances ...

Abstract The origin of the variability in accretion disks of active galactic nuclei (AGN) is still unknown, but its behavior can be characterized by modeling the time series of optical wavelength flux...

Abstract Background Large language models (LLMs) like GPT-4o have shown promise in advancing medical decision-making and education. However, their performance in Spanish-language medical contexts rema...

A high-level précis of the Technical Paper can be found in the Summary for Policymakers report, Generative AI in Electoral Campaigns: Mapping Global Patterns. GenAI is being deployed in many ways dur...

This Summary for Policymakers provides a high-level précis of the Technical Paper, The Role of Generative AI Use in 2024 Elections Worldwide. GenAI is being deployed in many ways during elections, ra...

[This corrects the article DOI: 10.1371/journal.pone.0306521.].

Formal XAI is an emerging field that focuses on providing explanations with mathematical guarantees for the decisions made by machine learning models. A significant amount of work in this area is cent...

The global spread of political misinformation poses serious challenges to democracies, eroding trust and distorting public discourse. However, research has largely focused on WEIRD countries—Western...

By conducting a content analysis of 331 news stories, this study observed how six news organizations covered Chile's new school admission system (SAE) for enrolling in K-12 schools. To identify the pr...

Graph neural networks are prominent models for representation learning over graph-structured data. While the capabilities and limitations of these models are well-understood for simple graphs, our und...

Abstract Background Clinical decision-making in healthcare often relies on unstructured text data, which can be challenging to analyze using traditional methods. Natural Language Processing (NLP) has ...

We study the problem of enumerating results from a query over a compressed document. The model we use for compression are straight-line programs (SLPs), which are defined by a context-free grammar tha...

Knowledge Graph Foundation Models (KGFMs) are at the frontier for deep learning on knowledge graphs (KGs), as they can generalize to completely novel knowledge graphs with different relational vocabul...

Machine learning applications in high-stakes scenarios should always operate under human oversight. Developing an optimal combination of human and machine intelligence requires an understanding of the...

In the realm of news consumption, individuals often establish recurrent patterns, integrating diverse sources into distinct repertoires. However, these patterns can change during unprecedented events ...

We analyze and propose a solution for the exposure of vulnerable users to harmful content during their interaction with contact recommender systems in social platforms. Our approach is dedicated to ma...

Digital Journalism has an important role to play in encouraging and publishing research with societal relevance that advances digital journalism studies as a field. In this article we discuss the mult...

The Causal Effect (CE) is a numerical measure of causal influence of variables on observed results. Despite being widely used in many areas, only preliminary attempts have been made to use CE as an at...

PURPOSE Pathology reports provide valuable information for cancer registries to understand, plan, and implement strategies to mitigate the impact of cancer. However, coding essential information from ...

A high-level précis of the Synthesis Report can be found in the Summary for Policymakers Recommendations for a Global AI Auditing Framework: Summary of Standards and Features. The growing integration...

Compositionality and compositional generalization--the ability to understand novel combinations of known concepts--are central characteristics of human language and are hypothesized to be essential fo...

The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort performed by ten team...

This study demonstrates the use of GPT-4 and variants, advanced language models readily accessible to many social scientists, in extracting political networks from text. This approach showcases the no...

The notion of rank of a Boolean function has been a cornerstone in the theory of PAC learning, enabling quasipolynomial-time learning algorithms for polynomial-size decision trees. We present a novel ...

The digitalization of public administration has advanced significantly on a global scale. Many governments now view digital platforms as essential for improving the delivery of public services and fos...

As I supposed everyone else did when asked by Tamer to write an article with Advice to Mid-Career Researchers, I read all the previous articles in this series to understand what this paper should be a...

This study investigates the concept of frames in the realm of online polarization, with a focus on social media platforms. The research extends the understanding of how frames—emerging, complex, and...

Proof assistants based on dependent type theory, such as Coq, Lean and Agda, use different universes to classify types, typically combining a predicative hierarchy of universes for computationally-rel...

Feature attribution methods have become essential for explaining machine learning models. Many popular approaches, such as SHAP and Banzhaf values, are grounded in power indices from cooperative game ...

Abstract We present a joint analysis of transit timing variations (TTVs) and Doppler data for the transiting exoplanet system TOI-4504. TOI-4504 c is a warm Jupiter-mass planet that exhibits the large...

Explainable artificial intelligence (XAI) and fair learning have made significant strides in various application domains, including criminal recidivism predictions, healthcare settings, toxic comment ...

Let 𝓓 be a collection of D strings of total length n over an alphabet of size σ. We consider the so-called top-k document retrieval problem: given a short string P and an integer k, list the ident...

The variety of goods obtained from root crops, particularly cassava and sweet potatoes, is getting low, thereby affecting their sustainability. The researcher has produced a syrup by combining cassava...