This paper analyzes the systemic threat of election-related Foreign Information Manipulation and Interference (FIMI) and Generative Artificial Intelligence (GAI) across recent Latin American electoral cycles in Guatemala (2023), Ecuador (2025), and Honduras (2025). Integrating the FIMI behavioral taxonomy with the DISARM framework and systems dynamics, we compare the transition from traditional digital propaganda to industrialized “algorithmic campaigns” driven by deepfakes, voice cloning, and media impersonation. Methodologically, we audit a database of documented media impersonations alongside international electoral observation reports. Our comparative analysis suggests that even if synthetic content cannot be shown to directly alter individual votes, it appears to reshape the emotional and symbolic climate of elections, which appears to exacerbate affective polarization and institutional distrust. We contextualize these dynamics within the slop economy—a structural digital divide in information quality between digital elites and digital commoners. Arguing that top-down regulations are insufficient against these decentralized threats, we propose a decentralized democratic defense model based on Jean Cloutier’s émirec concept, introducing cognitive friction into digital consumption to foster bottom-up epistemic resilience.
If, ten years ago, someone had told me it would be possible to access news through digital influencers, I might have had some difficulty believing it and could even have thought I was facing some sort of dystopia in the media landscape [...]
This essay applies close textual analysis to news reports covering the 20 November 2025 fire at the United Nations COP30 meeting in Belém, Brazil, to demonstrate how allegory can manifest in journalistic reporting of real-world events. It argues that allegory can, intentionally or unintentionally, occur in reports given specific circumstances, existing themes in the journalistic record, and other contexts. Analysis identifies and demonstrates the recurrence of two prominent allegorical themes across reports of the COP30 fire: one attending to victims, harm, and panic and another attending to disruption and failure. Discussion highlights how such incidental allegory—different from deliberately crafted or fully accidental allegory—guides audiences to conceptualize literal events within a web of literary and conceptual contexts and, thus, holds the capacity to frame understandings and future discourse related to climate action.
Over the last few years, TikTok has become one of the most notable social networking apps, allowing users to upload videos with the possibility of gaining popularity. This has given rise to the emergence of influencers native to the platform. While Global North–focused TikTok studies have empirically examined the media economics of this platform in various capacities, emerging markets have experienced a research dearth in this regard. To understand the strategies they employ to monetize, as well as the challenges they face in generating revenue, this study interviewed 23 Nigerian TikTok influencers between the ages of 19 and 26. We find that Nigerian TikTok influencers rely on a mixture of brand partnerships, sponsored promotions, referral systems, cross-platform visibility, collaborative growth strategies, and account-region bypass to generate income within a platform environment that offers limited direct monetization opportunities to creators. The findings further show that influencer labour in the Nigerian context is shaped by unstable payment systems, algorithmic dependence, brand distrust, and the constant pressure to remain visible and relevant. Beyond economic concerns, the study reveals that creators experience emotional strain arising from online harassment, body shaming, and the psychological demands of continuous self-presentation.
This systematic review investigates the application of artificial intelligence (AI) and machine learning (ML) in journalism and media practice from 2020 to 2026. Following PRISMA guidelines, we analysed 121 peer-reviewed articles from Scopus and Web of Science using a multi-method approach that combined qualitative thematic analysis, structural topic modelling (STM), and bibliometric network analysis. Four primary research domains emerged: news production and automation (38.0%), audience perception and content analysis (24.8%), ethical and legal considerations (19.8%), and meta-research and implementation studies (17.4%). Publication output accelerated sharply from 2023 onward, driven by the emergence of large language models and generative AI. The STM analysis confirmed the four-domain structure and revealed that legal-regulatory vocabulary pervades the literature across all categories, indicating a field-wide preoccupation with the institutional implications of AI. Key findings demonstrate that successful AI adoption depends on workflow redesign and human–machine collaboration rather than full automation; that audience evaluations of AI-generated content vary significantly across cultural contexts, with the machine heuristic—originating from Sundar’s MAIN model—playing a central mediating role; and that copyright frameworks for AI-generated news remain contested across jurisdictions. This study develops an integrated theoretical framework that maps directional relationships among the four research domains, identifies cultural context and disclosure practices as key moderators, and generates testable propositions for future investigation.
TikTok is a short-form video-sharing platform launched in 2016 by the China-based ByteDance under the name Douyin. Following its merger with Musical.ly in 2018, it rapidly gained global popularity. The platform has influenced individuals’ digital communication habits through its short video format and user-centric content creation capabilities. TikTok’s rapid access to its young user base presents significant opportunities for organizations and brands, but also brings risks such as data privacy and content security. TikTok’s dynamic algorithm prioritizes content based on users’ interests, enabling rapid access to a wide audience. A qualitative phenomenological research design was employed. Semi-structured interviews were conducted with 15 influencers collaborating with brands on TikTok. The content was analyzed using MAXQDA Analytics Pro 24 (Release 24.1.1). TikTok provides significant advantages such as visibility, viral content, and engagement with young audiences. However, challenges include content moderation, algorithmic uncertainty, and payment and trust issues. TikTok should be considered a priority channel, especially for campaigns targeting young audiences. Influencer collaborations have a positive impact on brand awareness, consumer trust, and engagement. The platform’s user-friendly tools, trending structure, and short video format allow brands to run creative campaigns on a low budget. However, some structural challenges, such as content control and trust issues, necessitate a professional and transparent collaboration model.
The ontological status of journalism in Greece has long been marked by a profound tension between the perception of the field as an innate craft and its institutionalization as an academic discipline. This paper investigates the perceived utility of university-level journalism education and its impact on professional identity within the Greek media landscape. Utilizing a quantitative methodological approach, the study involved the distribution of structured questionnaires to professional journalists in Greece to capture their attitudes toward academic training, press freedom, and contemporary journalistic practices. The findings suggest differentiated perceptions within the professional community, reflecting an ongoing negotiation between practical experience and academic approaches to journalism. Notably, despite the fact that only a small fraction of the surveyed journalists hold academic degrees in journalism, a large proportion of respondents acknowledges the utility of specialized higher education for aspiring professionals entering the field. Furthermore, the study explores how these perceptions correlate with views on press autonomy and ethical challenges, emphasizing consensus on the positive contribution of university education to journalistic practices related to press freedom and editorial independence. However, a persistent “theory-practice gap” remains evident, as respondents identified deficiencies in journalism curricula regarding preparation for practical demands and real-time reporting. Ultimately, the findings reveal strong criticism of the current state of press freedom in Greece, highlighting the need to re-evaluate the role of higher education in strengthening the professional legitimacy and democratic mandate of Greek journalism.
As violence and professional precarity intensify for journalists, resilience has become a central framework for understanding how journalists continue working under sustained risk. However, journalism studies research has largely conceptualized resilience through hierarchical models that distribute responsibility across bounded levels of authority. This conceptual article offers a critical synthesis of journalism studies research, resilience scholarship, ecological approaches, and public health prevention frameworks to examine how existing models align with contemporary threats toward journalists. We first map prevailing orientations to resilience (e.g., individual, organizational, and institutional) and show how these models can privilege episodic or reactive responses to journalistic harms and obscure gaps in coordinated interventions to mitigate violence. We then advance an ecological reorientation of journalistic resilience grounded in networked ecologies. We propose a three-part framework (individual-in-relation, collective, and networked) that conceptualizes resilience as a relational and cross-institutional capacity. Finally, we introduce public health prevention models as a translational lens for operationalizing ecological resilience as coordinated infrastructure spanning prevention, intervention, and recovery. This framework offers a conceptual foundation for studying and strengthening resilience across contemporary media environments.
This study aims to analyze digital transformation in institutions as a structural shift that reshapes the logic of communication, patterns of power, and mechanisms of trust building within organizations. This study is grounded in the assumption that digitalization is no longer limited to the adoption of technical tools but has evolved into an organizational and governance framework driven by algorithms and recommendation platforms, with direct implications for communication practices, levels of transparency, and organizational culture. This study adopts a descriptive–analytical approach based on a critical review of peer-reviewed academic research published from 2019 until the beginning of 2026. To ensure methodological rigor and transparency, the review process follows the PRISMA guidelines. Relevant studies were identified through comprehensive searches of major academic databases (Scopus, Web of Science, and Google Scholar), and the final sample contained all scholarly publications that address digital transformation in institutional communication within the specified timeframe. The number of studies that met the conditions amounted to 92 studies and reports. The sample draws on several theoretical frameworks, including technological determinism, communication visibility, diffusion of innovations, and uses and gratifications, thereby enabling a comprehensive examination of the relationship between digital transformation and institutional communication from a closed hierarchical model into an interactive networked system increasingly shaped by algorithmic logics and governance mechanisms that redistribute visibility and influence within institutions. The results suggest that the success of digital transformation is more closely associated with organizational culture and transformational digital leadership than with technical infrastructure alone. Moreover, audiences have become active co-producers of meaning and trust through interaction and user-generated content. In conclusion, digital transparency and organizational communication visibility constitute key foundations of institutional trust, highlighting the need for clear frameworks of digital transformation, particularly in the Arab context.
Spanish journalists do not suffer from work-related anxiety because they lack resilience; they suffer from it because they work in environments structurally designed to produce it. Based on this premise, this study develops the first empirically grounded multilevel governance model to reduce work-related anxiety among journalists, drawing on 23 in-depth interviews with Spanish professionals who have experienced it through either a diagnosis or self-report, analyzed using reflective thematic analysis. The findings are organized into three interconnected levels—micro, meso, and macro—and identify, respectively, pre-existing protective factors, reactive coping strategies, and advice and recommendations aimed at structural change. Anchored in Job Anxiety Theory and evidence from equivalent complex interventions, the model demonstrates that individual resources only produce sustainable effects when the organizational and sectoral levels actively support them. The asymmetry between the density of the micro level and the precariousness of the meso and macro levels constitutes the study’s central finding. Our model redefines anxiety in journalism as an institutional design challenge and offers a scalable, modular, and contextualized architecture for the Spanish media ecosystem.
Over the last century, two highly influential organizations have impacted politics and resistance in the Arab world: the Ba’ath Party and the Muslim Brotherhood. The Muslim Brotherhood advanced the political dimension of Islam in the sense of a single community (Umma) that revolves around religion. This basic distinction has caused decades of ideological disputes and even, on some occasions, military confrontation. In this study, the media’s construction of the public image of the Muslim Brotherhood is analyzed. Two large outlets, the British Broadcasting Corporation (BBC) and Al Arabiya, are contrasted. Using a qualitative approach, news stories from 2023 to 2025 are examined to determine how strategic narratives can influence the population’s perception of these groups. The study results reveal a considerable gap in reporting between the two. Al Arabiya presents the Muslim Brotherhood as a collapsed, radical terrorist group manipulating religion to gain power, while the BBC’s reporting is more neutral and subtler, demonstrating how media organizations manipulate certain terms and themes to shape narratives.
Generative artificial intelligence (GenAI) is rapidly reshaping the audience’s relationship with journalism, particularly through AI-generated summaries. Building on the observed patterns of limited visibility of sources, condensed summary presentation, and reduced contextual depth, we introduce the idea of news sufficiency, in which people encounter summarised content that feels enough to satisfy their immediate informational needs, thereby reducing the incentive to access full news articles. Empirically, this study examines differences between ChatGPT, Gemini, and Google Search when queried in European Portuguese, using three prompts: (a) asking for the main news of the day, (b) the latest on a specific news event, and (c) using only a basic keyword for that event. Drawing on a content analysis, we analysed 72 queries submitted by eight independent users. The results showed that platforms differ markedly in source attribution, summary structure, and contextual awareness. ChatGPT consistently provided hyperlinks and often clickable news images, while Gemini offered summaries only in text without citations. Both chatbots generated diverse and coherent news headlines capable of satisfying curiosity yet frequently failed to infer news intent from the basic keyword prompt, providing outdated or irrelevant information. The absence of Google’s AI Overview results during the observation window produced a contrast with a classic Google Search, which preserves user agency by requiring clicks on links. These findings have significant implications for journalistic authorship, editorial gatekeeping, and the economic sustainability of media, highlighting the need for AI literacy and platform governance that safeguards information pluralism.
Artificial Intelligence (AI) is redefining journalism, transforming news production, distribution, and consumption. Despite the growing adoption of AI in newsrooms, academic research remains fragmented and lacks a comprehensive overview of global trends, particularly regarding its implications for media literacy and disinformation. This article addresses this gap through a systematic literature review of publications on AI in journalism between 2020 and 2024, based on Scopus and Web of Science. The analysis shows a significant increase in research output since 2023, alongside a strong geographical concentration in Europe and North America, with limited representation from the Global South. The results identify six key thematic areas: automation of news production, algorithmic personalization, newsroom integration, ethical and regulatory challenges, disinformation, and journalism education. Across these themes, the findings reveal a shift from a predominantly technocentric perspective toward a competency-based approach, with increasing attention to media literacy. While AI is associated with efficiency and innovation, the literature consistently highlights concerns related to transparency, bias, editorial accountability, and the transformation of professional roles, as well as risks linked to misinformation and declining public trust. Importantly, the review shows that media literacy—particularly AI literacy—emerges as a transversal dimension, emphasizing the need for competencies that enable journalists and audiences to critically understand, evaluate, and engage with algorithmic systems. The study also identifies key gaps, including limited longitudinal research, scarce audience-centered approaches, insufficient interdisciplinary collaboration, and persistent deficiencies in AI-related training. By foregrounding literacy as a central analytical dimension, this article advances a more holistic understanding of AI in journalism and contributes to the development of a globally inclusive and competency-oriented research agenda.
The study explores the trauma experiences and gendered labor of Ukrainian women working as local fixers for international major media outlets covering the Russian war. Using semi-structured interviews (N = 15) with Ukrainian women fixers and drawing on feminist standpoint epistemology and embodied journalism, this research investigates how they perceive and perform their roles in a male-dominated professional environment. Women fixers’ work is shaped by lived, embodied experiences and an alternative knowledge of conflict. The fixers have an unofficial leadership role in international news teams, describing themselves as producers who shape editorial decisions, ensure safety, and influence coverage. From a feminist standpoint, their experiences show how lived experiences afford them authority in war reporting, even when it is not formally recognized. However, they face gender inequalities, primarily from male foreign correspondents who question their competency, as well as from Ukrainian military personnel who undermine their expertise and authority. Women fixers have also received unwanted sexual propositions from other freelancers in the media teams. Participants acknowledged that they have been traumatized by the war coverage, and they do not receive sufficient institutional support, but they invest in self-funded coping strategies.
This paper examines how conversational daily deep dive news podcasts build journalistic authority and legitimacy through what we call the “journalist-as-guest” (JAG) format. Applying a deep analytical listening methodology that honors the aurality of the medium and positions listening as a core analytical method, we analyzed eight daily deep dive news podcasts from Canada and Australia, attending to how sonic elements interact with conversational performance to produce podcasting’s characteristic intimacy and parasocial listener bonds that support authority and legitimacy claims for journalism. Our findings expand on our previous identification of the JAG format as a key element of explanatory-type daily deep dive podcasts. Here, we reveal how it operates through three key mechanisms: recurring self-referential speech that reinforces journalistic cultural belonging; intentional unpacking of the reporting process to reveal behind-the-scenes work; and the careful construction of journalists as subject-matter experts. Together, these mechanisms transform performative conversation into metajournalism, creating a space in which journalistic expertise is displayed and validated through colleague-to-colleague dialogue. We term this dynamic “intimate authority.” We argue that the JAG format capitalizes on podcasting’s affordances for intimacy, parasociality, and extended metajournalistic conversation to invite audiences into the news-making process while positioning journalists as credible experts and sense-makers. In doing so, it functions as a mechanism for establishing authority and legitimacy claims in digital media environments. As daily news podcasting becomes increasingly central to remediation efforts aimed at restoring trust in journalism, both legacy and independent news podcasters appear to be counting on the JAG format as a strategic response to concurrent crises of news avoidance and relevance.
Newsgames integrate journalism and digital game design to communicate news through interactive storytelling. This study examines how narrative journalism can function as a design framework for newsgames by exploring how its storytelling techniques—such as characterisation, scene construction, and narrative structure—can inform the design of interactive journalistic experiences while maintaining factual integrity. Using a narrative literature review, the research synthesises scholarship from journalism studies, narrative theory, and game studies to analyse how narrative structures and gameplay systems shape the communication of news in digital games. The paper proposes a conceptual model that integrates narrative journalism and newsgames with Symbolic Interaction Theory (SIT) and the Values at Play (VAP) heuristic, providing a theoretical framework for interactive journalistic storytelling. Within this framework, gameplay operates as a narrative structure through which players engage with journalistic content by interacting with simulated environments, characters, and decision-making processes. The analysis indicates that the communicative capacity of newsgames depends on how journalistic information is embedded within gameplay mechanics and narrative systems, where interactivity, player agency, and ethical design shape how audiences interpret complex social and political issues. The study concludes that newsgames function as interactive narrative systems of journalism, in which gameplay serves as a storytelling mechanism that enables audiences to engage with news through participation and interpretation. By positioning narrative journalism as a design framework for interactive news experiences, this research contributes a theoretical foundation for analysing and developing narrative-driven newsgames.
This paper examines the unresolved case of a Nigerian singer/rapper, Ilerioluwa Oladimeji Aloba (Mohbad), aged 27, whose tragic death occurred on 12 September 2023. His death sparked public outcry and calls for justice, resulting in massive protest movements in Nigeria and the Diaspora. Alaroye, a foremost indigenous language newspaper, has consistently deployed its platform to advocate for justice for the deceased rapper. Using the Agenda-setting Theory, this study examines, through key informant interviews, the external events that caused public opinion on the clamour for justice for Mohbad to wane, which impeded the newspaper’s agenda-setting capacity. This paper explores Alaroye’s coverage of the circumstances surrounding the death of Mohbad and the need to galvanise justice for him. Through a content analysis of the Alaroye online newspaper, 62 newspaper stories were purposively sampled within the time frame of the incident (September 2023 to August 2024). Although Alaroye’s reports on the happenings surrounding Mohbad’s death created public awareness and debate, key informants explain that public opinion on the issue could not stimulate justice for the deceased due to political, economic, and other associated factors.
The 2024 US presidential campaign was dubbed the ‘podcast election’, with Donald Trump’s appearances on shows targeting young male audiences hailed for securing victory with this demographic. However, limited attention has been paid to how the specific affordances of audio media are leveraged to engage voters with appeals to hegemonic masculinity. Drawing on the theoretical framework of counterpublics, this study applies an innovative close analytical listening method and critical discourse analysis to five long-form podcast interviews with Trump. It finds that intimacy, authenticity, and convivial, free-wheeling conversation were key elements of Trump’s political communication—reaching mass audiences while bypassing the scrutiny of professional journalism. Furthermore, these shows celebrated men’s superiority while largely excluding women from public discourse. These findings are important for understanding the implications of an increasingly masculine, right-wing podcast scene, which we theorize as the brosphere. Ultimately, we argue that the brosphere is distinct from—but related to—the overtly misogynistic manosphere.
This exploratory study examines how journalists in/coordinating investigations use a chatbot designed to reduce power asymmetries during remote work. Twelve freelancers across Africa, Europe, and India tested Obruche, a chatbot advisor covering risk mitigation, pay equality, tension de-escalation, and intellectual property protection. Drawing on the Unified Theory of Acceptance and Use of Technology, semi-structured interviews were coded for Performance Expectancy, Effort Expectancy, Facilitating Conditions, and Social Influence. Results show journalists gravitate towards chatbots that are cognisant of their location-specific challenges and able to provide information that facilitates access to media outlets or peers for future collaborations. Next-best-action responses that expanded user queries or offered role-play scenarios also left journalists feeling supported, less lonely, and not judged. However, the chatbot’s female persona, scepticism of artificial intelligence, and chatbot novelty may reduce user acceptance. Obruche’s potential areas of intervention are linked to eight types of organisational power. The chatbot mainly assisted journalists to confront or rebalance Control of Knowledge and Information, and Control of Scarce Resources, aiding users’ Ability to Cope with Uncertainty. This research contributes to recent qualitative studies on journalists’ well-being by demonstrating how chatbots can mitigate power imbalances between dispersed teams of journalists. The benefits and concerns presented may inform future designs of similar team-mediation chatbots.
Starting from the idea of proximity as a fundamental news value—which may assume geographical, cultural, emotional, and thematic dimensions—this article discusses how this concept influences journalists’ production routines, focusing on the progressive abandonment of the journalistic genre of reportage. This quantitative study aims to understand how Portuguese journalists conceptualize proximity journalism and the role reportage plays as a journalistic practice that involves direct contact with the field. The study collected responses from 111 Portuguese journalists working in television, radio, print, and online media, across different media outlets, regardless of their hierarchical position or contractual status. The research shows that although proximity is considered transversal across all levels of journalism (local, regional, or national), current production routines primarily favor news production. This trend is driven by a strong dependence on the political and institutional agenda, neglecting reportage, which requires going into the field and establishing direct contact with local communities and, consequently, with alternative and non-official or non-institutional sources. Among the main reasons identified by journalists are a lack of time, a scarcity of human and financial resources, an overload of tasks in newsrooms, and poor editorial decisions by newsroom leadership. The study concludes that this dependence on fast production routines and institutional sources may compromise journalism’s ability to maintain close relationships with communities and to produce more in-depth, contextualized narratives, thereby gradually losing proximity to local communities and citizens.
