Emily Tseng, Meg Young, Marianne Aubin Le Quéré
et al.
Journalism has emerged as an essential domain for understanding the uses, limitations, and impacts of large language models (LLMs) in the workplace. News organizations face divergent financial incentives: LLMs already permeate newswork processes within financially constrained organizations, even as ongoing legal challenges assert that AI companies violate their copyright. At stake are key questions about what LLMs are created to do, and by whom: How might a journalist-led LLM work, and what can participatory design illuminate about the present-day challenges about adapting ``one-size-fits-all'' foundation models to a given context of use? In this paper, we undertake a co-design exploration to understand how a participatory approach to LLMs might address opportunities and challenges around AI in journalism. Our 20 interviews with reporters, data journalists, editors, labor organizers, product leads, and executives highlight macro, meso, and micro tensions that designing for this opportunity space must address. From these desiderata, we describe the result of our co-design work: organizational structures and functionality for a journalist-controlled LLM. In closing, we discuss the limitations of commercial foundation models for workplace use, and the methodological implications of applying participatory methods to LLM co-design.
Victor B. Santos, Cauã O. Jordão, Leonardo J. O. Ibiapina
et al.
This paper presents IDEIA (Intelligent Engine for Editorial Ideation and Assistance), a generative AI-powered system designed to optimize the journalistic ideation process by combining real-time trend analysis with automated content suggestion. Developed in collaboration with the Sistema Jornal do Commercio de Comunicação (SJCC), the largest media conglomerate in Brazil's North and Northeast regions, IDEIA integrates the Google Trends API for data-driven topic monitoring and the Google Gemini API for the generation of context-aware headlines and summaries. The system adopts a modular architecture based on Node.js, React, and PostgreSQL, supported by Docker containerization and a CI/CD pipeline using GitHub Actions and Vercel. Empirical results demonstrate a significant reduction in the time and cognitive effort required for editorial planning, with reported gains of up to 70\% in the content ideation stage. This work contributes to the field of computational journalism by showcasing how intelligent automation can enhance productivity while maintaining editorial quality. It also discusses the technical and ethical implications of incorporating generative models into newsroom workflows, highlighting scalability and future applicability across sectors beyond journalism.
Artificial Intelligence (AI) is reshaping journalistic practices across the globe, offering new opportunities while raising ethical, professional, and societal concerns. This study presents a comprehensive systematic review of published articles on AI in journalism from 2010 to 2025. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, a total of 72 peer-reviewed articles were selected from Scopus and Web of Science databases. The analysis combines bibliometric mapping and qualitative thematic synthesis to identify dominant trends, technologies, geographical distributions, and ethical debates. Additionally, sentiment analysis was performed on article abstracts using the Valence Aware Dictionary and sEntiment Reasoner (VADER) algorithm to capture evaluative tones across the literature. The findings show a sharp increase in research activity after 2020, with prominent focus areas including automation, misinformation, and ethical governance. While most studies reflect cautious optimism, concerns over bias, transparency, and accountability remain persistent. The review also highlights regional disparities in scholarly contributions, with limited representation from the Global South. By integrating quantitative and qualitative insights, this study offers a multi-dimensional understanding of how AI is transforming journalism and proposes future research directions for inclusive and responsible innovation.
Science journalism reports current scientific discoveries to non-specialists, aiming to enable public comprehension of the state of the art. However, this task can be challenging as the audience often lacks specific knowledge about the presented research. To address this challenge, we propose a framework that integrates three LLMs mimicking the real-world writing-reading-feedback-revision workflow, with one LLM acting as the journalist, a smaller LLM as the general public reader, and the third LLM as an editor. The journalist's writing is iteratively refined by feedback from the reader and suggestions from the editor. Our experiments demonstrate that by leveraging the collaboration of two 7B and one 1.8B open-source LLMs, we can generate articles that are more accessible than those generated by existing methods, including advanced models such as GPT-4.
Most existing GUI agents typically depend on non-vision inputs like HTML source code or accessibility trees, limiting their flexibility across diverse software environments and platforms. Current multimodal large language models (MLLMs), which excel at using vision to ground real-world objects, offer a potential alternative. However, they often struggle with accurately localizing GUI elements -- a critical requirement for effective GUI automation -- due to the semantic gap between real-world objects and GUI elements. In this work, we introduce Ponder & Press, a divide-and-conquer framework for general computer control using only visual input. Our approach combines an general-purpose MLLM as an 'interpreter', responsible for translating high-level user instructions into detailed action descriptions, with a GUI-specific MLLM as a 'locator' that precisely locates GUI elements for action placement. By leveraging a purely visual input, our agent offers a versatile, human-like interaction paradigm applicable to a wide range of applications. Ponder & Press locator outperforms existing models by +22.5% on the ScreenSpot GUI grounding benchmark. Both offline and interactive agent benchmarks across various GUI environments -- including web pages, desktop software, and mobile UIs -- demonstrate that Ponder & Press framework achieves state-of-the-art performance, highlighting the potential of visual GUI agents. Refer to the project homepage https://invinciblewyq.github.io/ponder-press-page/
This paper introduces the Unique Citing Documents Journal Impact Factor(Uniq-JIF) as a supplement to the traditional Journal Impact Factor(JIF). The Uniq-JIF counts each citing document only once, aiming to reduce the effects of citation manipulations. Analysis of 2023 Journal Citation Reports data shows that for most journals, the Uniq-JIF is less than 20% lower than the JIF, though some journals show a drop of over 75%. The Uniq-JIF also highlights significant reductions for journals suppressed due to citation issues, indicating its effectiveness in identifying problematic journals. The Uniq-JIF offers a more nuanced view of a journal's influence and can help reveal journals needing further scrutiny.
Sachita Nishal, Charlotte Li, Nicholas Diakopoulos
News organizations today rely on AI tools to increase efficiency and productivity across various tasks in news production and distribution. These tools are oriented towards stakeholders such as reporters, editors, and readers. However, practitioners also express reservations around adopting AI technologies into the newsroom, due to the technical and ethical challenges involved in evaluating AI technology and its return on investments. This is to some extent a result of the lack of domain-specific strategies to evaluate AI models and applications. In this paper, we consider different aspects of AI evaluation (model outputs, interaction, and ethics) that can benefit from domain-specific tailoring, and suggest examples of how journalistic considerations can lead to specialized metrics or strategies. In doing so, we lay out a potential framework to guide AI evaluation in journalism, such as seen in other disciplines (e.g. law, healthcare). We also consider directions for future work, as well as how our approach might generalize to other domains.
Alexandros Samalis, Alexandros Z. Spyropoulos, Georgios C. Makris
et al.
This study investigates the research questions: “<i>How do political connections within Greece’s governing party evolve, and what underlying patterns and dynamics are revealed through a network analysis of interactions on</i> <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="double-struck">X</mi></mrow></semantics></math></inline-formula> <i>(formerly Twitter)?</i>” To address these questions, data were collected from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="double-struck">X</mi></mrow></semantics></math></inline-formula>, focusing on following, retweeting, and mentioning activities among the politicians within the governing party. The interactions were meticulously analysed using tools derived from Network Theory in mathematics, including in and out-strength centrality, hubs and authorities centralities, and in and out-vertex entropy. In line with the emerging field of data journalism, this approach enhances the rigour and depth of analysis, facilitating a more nuanced understanding of complex political landscapes. The findings reveal complex and dynamic structures that may reflect internal relationships, communication strategies, and the influence of recurring events on these connections within the party. This study thus provides novel insights into understanding political communication via social networks and demonstrates the applicative potential of Network Theory and data journalism techniques in social sciences.
Journalism. The periodical press, etc., Communication. Mass media
Overlay journals are characterised by their articles being published on open access repositories, often already starting in their initial preprint form as a prerequisite for submission to the journal prior to initiating the peer-review process. In this study we aimed to identify currently active overlay journals and examine their characteristics. We utilised an explorative web search and contacted key service providers for additional information. The final sample consisted of 34 overlay journals. While the results show that new overlay journals have been actively established within recent years, the current presence of overlay journals remains diminutive compared to the overall number of open access journals. Most overlay journals publish articles in natural sciences, mathematics or computer sciences, and are commonly published by groups of academics rather than formal organisations. They may also rank highly within the traditional journal citation metrics. None of the investigated journals required fees from authors, which is likely related to the cost-effective aspects of the overlay publishing model. Both the growth in adoption of open access preprint repositories and researchers' willingness to publish in overlay journals will determine the model's wider impact on scholarly publishing.
We compute confidence intervals for recursive impact factors, that take into account that some citations are more prestigious than others, as well as for the associated ranks of journals, applying the methods to the population of economics journals. The Quarterly Journal of Economics is clearly the journal with greatest impact, the confidence interval for its rank only includes one. Based on the simple bootstrap, the remainder of the Top5 journals are in the top 6 together with the Journal of Finance, while the Xie et al. (2009), and Mogstad et al. (2022) methods generally broaden estimated confidence intervals, particularly for mid-ranking journals. All methods agree that most apparent differences in journal quality are, in fact, mostly insignificant.
Henry Jenkins (autor del otro trascendente libro Convergence Culture), Joshua Green y Sam Ford publican un esclarecedor libro sobre la idea de difusión “participativa”, un fenómeno sobre el que ya llevamos un tiempo siendo testigos en los diversos ámbitos de la comunicación. Esta obra llama la atención porque, entre otras cosas, parte cuestionando frontalmente el segundo principio Gladwelliano para generar una “epidemia social”: procurar generar un producto comunicativo “pegajoso” (the stickiness factor), descrito en el trascendente libro The Tipping Point de Malcolm Gladwell. Con ello, invita a los comunicadores a desafiar algunas de las metáforas biológicas dominantes en el escenario de hoy, comúnmente conocidas como “memes” y “virales”. Igualmente cuestiona algunos marcos utilizados para describir los medios de comunicación contemporáneos, como el concepto de “Web 2.0” y la noción popular de “influenciadores” (influencers).
Communication. Mass media, Journalism. The periodical press, etc.
Tässä artikkelissa tarkastellaan suomalaisten toimittajien ammatti-identiteettiin liittyviä käsityksiä sekä niiden merkitystä heidän työn ja muun elämän rajanhallinnalleen. Rajanhallinta määritellään vuorovaikutusprosessiksi, jossa työn ja muun elämän rajoista neuvotellaan. Lähestymme tutkimusaihetta laadullisen tutkimuksen menetelmin. Aineisto koostuu suomalaisten toimittajien sekä heidän itsensä nimeämien työ- ja yksityiselämän henkilöiden puolistrukturoiduista haastatteluista (N=32). Temaattisen sisällönanalyysin myötä käsitykset toimittajien ammatti-identiteetistä jäsentyvät kahdeksi yläteemaksi, joita ovat toimittajuus elämäntapana sekä toimittajuus palkkatyönä. Käsitykset ammatti-identiteetistä sekä oikeuttivat että haastoivat tietynlaista toimintaa, jolloin ne sekä helpottivat että haittasivat toimittajien työn ja muun elämän välistä rajanhallintaa. Tutkimuksen tulokset tuottavat ymmärrystä siitä, miten käsitykset identiteetistä rakentuvat ja muokkautuvat vuorovaikutuksessa sekä valottavat erityisesti ammatti-identiteettiin liittyvien käsitysten merkitystä työn ja muun elämän rajanhallinnalle. Tutkimuksen tuottamaa tietoa voidaan hyödyntää kehitettäessä työn ja muun elämän yhteensovittamisen käytänteitä erityisesti luovassa tietotyössä, jossa rajat työn ja yksityiselämän välillä voivat olla häilyviä.
Social sciences (General), Communication. Mass media
This study describes a method to detect hijacked journals based on the analysis of the archives of clone journals. This approach is most effective in discovering a network of hijacked journals that have the same organizer(s). Analysis of the archives of clone journals allowed to detect 62 URLs of hijacked journals. It also provided the possibility to predict two clone websites before they became operational. This study shows that most detected hijacked journals represent a network of clone journals organized by one or several fraudulent individuals. The information and content of nine legitimate journals were compromised in international and national scientometric databases.
Suomalaisen mediatutkimuksen historiaa -sarjassa esitellään tekijänsä uran tai alan kehityksen kannalta merkille pantavia töitä. Tarkoitus on samalla herättää kiinnostusta kotimaisen tutkimuksen historiaan, jonka kokonaisesitys on edelleen laatimatta. Yrjö Ahmavaara. Informaatio: tutkimus tiedotuksen logiikasta. Helsinki: Weilin + Göös, 1969.
Social sciences (General), Communication. Mass media
Las cadenas de televisión han visto en el uso de las redes sociales una oportunidad para favorecer la relación con sus audiencias y conocerlas mejor, y esto ha sido objeto de interés de la profesión y la academia. También lo ha sido el uso de Twitter como parte de su estrategia de comunicación. El desarrollo de los servicios audiovisuales bajo demanda, que alteran los patrones de consumo tradicional, sugiere un marco diferente en estudio del uso de las redes sociales, Twitter en particular.
El objetivo de este estudio es el análisis del discurso que mantiene Netflix en la red social Twitter. Nos preguntamos cómo se relaciona la marca con los consumidores fuera de su canal propio –su aplicación, su plataforma-. Es decir, qué tipo de conversaciones mantiene en un espacio público, si lo hace; en qué se centran esas conversaciones y cuál es el peso de los contenidos de su catálogo en ellas. Para ello, combinaremos la creación de un marco teórico para la comprensión del uso de Twitter en un servicio de video bajo demanda con el estudio del caso de Netflix España centrándonos en un mes concreto al año siguiente de su lanzamiento. El objetivo final consiste en extraer tendencias que apunten a prácticas paradigmáticas para el mantenimiento de una relación de engagement a través de Twitter en un servicio de video bajo demanda.
Journalism. The periodical press, etc., Communication. Mass media