Abstract

Este texto analiza desde una perspectiva teórica la evolución de los medios digitales que ha modelado el ecosistema mediático digital de España en las últimas tres décadas. A partir de una revisión crítica de las clasificaciones existentes de medios digitales, el texto aborda la distinción entre «medios nativos digitales» y aquellos que propone denominar «medios digitales derivados». A partir de la definición y discriminación conceptual de ambos tipos de medios, el texto muestra por qué los modelos tipológicos basados en el origen de los medios comienzan a estar en declive. En su lugar, plantea un criterio tipológico alternativo basado en el grado de influencia de los medios; bajo este marco, propone las categorías de «medios digitales dominantes» y «medios digitales secundarios». El texto culmina con una representación del ecosistema mediático digital mediante un cuadrante analítico que sintetiza estas dos dimensiones principales: origen e influencia. Esta herramienta conceptual permite visualizar la distribución actual de los medios digitales y comprender mejor sus dinámicas de transformación y consolidación.

Abstract

(…) Este capítulo busca definir qué es la verificación multimodal y ofrecer
una revisión de las metodologías que se han utilizado para automatizar
esta tarea, a través de un análisis de los trabajos publicados.
Esto último incluye desde la recuperación de evidencia multimodal a
partir de texto, imagen, audio y vídeo, hasta la generación de explicaciones
con inteligencia artificial generativa. De esta forma, se pueden
comparar las conclusiones predominantes sobre el funcionamiento
de estos sistemas. (…)

Abstract

The report is composed of 27 cases – the EU member states – and describes how national governments and policymakers address disinformation. The case studies identify legislative and non-legislative approaches, strategies, policy documents, as well as proposed laws and policies, complemented with information about certain structural conditions that can impact countries’ measures on disinformation.

The aim of the report is to better understand what kinds of policy tools are commonly utilised in EU member states to create a safer information environment and to foster greater societal resilience – complementing an already institutionalised European approach on disinformation. Moreover, it aims to identify dominant approaches and to help policymakers understand what mix of policies can be preferable in certain contexts.

The report presents selected findings concerning countries, as gathered from available reports and policy documents reviewed by EDMO Hubs, and does not necessarily reflect the views of EDMO or intend to provide a comprehensive picture of legislative or policy landscape.

Abstract

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 multiple types of articles we publish: research articles, conceptual articles, review articles, advancing methods articles and commentaries. We also introduce you to several great examples of such articles, as well as introduce the growing number of articles that have received outstanding article awards over the years. Finally, we present our revised editorial agenda that will guide our priorities for the editorial processing of article submissions in the year(s) to come. The editorial agenda consists of five key thematic areas, each featuring carefully selected bullet points outlining our key research priorities. We set the context for each of these thematic areas by positioning them in relation to some of the research we have published in recent years.

Abstract

This article explores the adoption of artificial intelligence-driven automation tools in fact-checking newsrooms, focusing on their potential to enhance verification efficiency and reach. Using digital ethnography and semi-structured interviews with executives, journalists, and engineers from Duke Reporters’ Lab (USA) and Full Fact (UK), the study examines the motivations for adopting these tools, their impact on fact-checking practices, perceived benefits, user attitudes, and measurable outcomes. Findings reveal significant variations in approaches and results across newsrooms, underscoring ongoing challenges in implementing automation tools within complex workflows. This work advances understanding of automation’s role in fact-checking and offers insights for future research.