Search Results (37)

Media organizations are experiencing ongoing transformation, increasingly driven by the advancement of AI technologies. This development has begun to link journalists with generative systems and synthetic technologies. Although newsrooms worldwide are exploring AI adoption to improve information sourcing, news production, and distribution, a gap exists between resource-rich organizations and those with limited means. Since ChatGPT 3.5 was released on 30 November 2022, Greek media and journalists have gained the ability to use and explore AI technology. In this study, we examine the use of AI in Greek newsrooms, as well as journalists’ reflections and concerns. Through qualitative analysis, our findings indicate that the adoption and integration of these tools in Greek newsrooms is marked by the lack of formal institutional policies, leading to a predominantly self-directed and individualized use of these technologies by journalists. Greek journalists engage with AI tools both professionally and personally, often without organizational guidance or formal training. This issue may compromise the quality of journalism due to the absence of established guidelines. Consequently, individuals may produce content that is inconsistent with the media outlet’s identity or that disseminates misinformation. Age, gender, and newsroom roles do not constitute limiting factors for this “experimentation”, as survey participants showed familiarity with this technology. In addition, in some cases, the disadvantages of specific tools regarding qualitative results in Greek are inhibiting factors for further exploration and use. All these points to the need for immediate training, literacy, and ethical frameworks. Full article

Technological developments and the integration of social media into journalistic practices have transformed the media landscape, changing how information is gathered, produced, and shared. This evolution poses challenges, including the lack of clear guidelines and practical tools for ensuring the quality of digital news content. To address these issues, IQJournalism, an intelligent quality prediction advisor, was developed. This paper outlines the methodology for the development of IQJournalism, a platform that leverages advanced AI technologies to process Greek news articles and provide real-time editing recommendations on various dimensions, including language quality, subjectivity level, emotionality, entertainment, and social media engagement. First, a qualitative study was conducted through semi-structured, in-depth interviews with 20 experts, academic researchers and media professionals to identify indicators of perceived quality in journalism. These insights were then transformed into measurable features, which served as training data for explainable machine learning-based models for quality categorization and prediction. Finally, the IQJournalism platform was designed following a user-centered iterative process that included prototyping, testing, and redesigning. The innovative approach aims to serve as a valuable tool for improving journalistic quality, contributing to more reliable and engaging online news content. Importantly, the platform is not limited to the journalistic sector, but can also be used to optimize content in various areas, such as marketing, political, and strategic communication, supporting editors seeking to improve the quality and impact of their writing. Full article

In Mexico, pervasive violence, forced disappearances, and homicides have deeply impacted certain groups, particularly journalists, activists, and human rights defenders, who are at high risk of victimization. While these groups receive state support for physical and legal safety, mental health and sleep-focused interventions remain insufficient. Collaborating with a Mexico City-based institution supporting human rights defenders and journalists, we conducted a psychometric assessment of 47 individuals affected by violence. Results showed that 80% exhibited symptoms of post-traumatic stress disorder, 25.5% showed depression, and 57.4% displayed anxiety; 95.7% reported poor sleep quality based on the Pittsburgh Sleep Quality Index. In a second phase, neuropsychological tests and polysomnographic recordings identified cognitive impairments in attention, memory, and decision-making in some participants, along with sleep disorders such as insomnia, primary snoring, obstructive sleep apnea, and bruxism. A third phase introduced Cognitive Behavioral Therapy for insomnia, nightmares, and circadian rhythm issues. Results showed improvements in sleep quality, total sleep time, and a reduction in depression, anxiety, and post-traumatic stress disorder symptoms. This approach suggests that treating sleep issues in high-risk populations can improve mental health. Full article

The transformative influence of digitalization on journalism is evident across multiple dimensions of the industry. Artificial Intelligence (AI) is reshaping how news is produced, distributed, and consumed, from small local newsrooms to global media organizations, offering benefits such as increased speed, efficiency, and personalization. However, the most critical role AI can play lies in upholding the high standards of accuracy, credibility, and depth that define quality journalism. The ongoing digital transformation prompts a re-evaluation of journalistic norms and practices, positioning quality at the forefront of discussions. This paper focuses on Greece’s media market that encountered a severe economic crisis and, more specifically, to the Greek local media landscape to investigate the complex relationship between AI and journalism in regional media organizations. More specific, the study explores how Greek local journalists believe AI can contribute to quality journalism, while upholding the core principles of ethics and integrity. It highlights their perspectives on AI, exploring both their hopes for its potential to improve journalistic practices and their concerns about its impact on journalistic values. Through semi-structured interviews with local media industry stakeholders in Greece—including editors, editors-in-chief, and journalists—this study assesses AI’s influence on journalistic quality in local newsrooms. The findings underscore the necessity of employing AI to elevate content standards rather than compromise them. Our research contributes to the discourse on AI in journalism and offers valuable insights for journalists, local news organizations, and policymakers navigating the ethical implications of AI adoption in the pursuit of high-quality journalism in Greek local media. Full article

This study explores the implementation of artificial intelligence (AI) in social media journalism. We apply a labour process approach to examine why German newspaper editors adopt AI publishing and how it influences journalistic work. Automated publishing services (APSs) are used in newsrooms to select, edit, and publish content on social media platforms. In-depth interviews with German news editors revealed that the reasons for implementing APSs include economic dependence on platforms, the centralisation of news roles, and the intensification of work. Furthermore, resistance to fully automated social media publishing in some newsrooms has resulted in semi- or hybrid-automated approaches. Resistance is primarily expressed through concerns over the loss of editorial control, content diversity, and the quality of user engagement. Full article

This study explores possible applications of AI technology in online journalism, given the predictions that speed and adaptation to the new medium will increase the penetration of automation in the production business. The literature shows that while the human supervision of journalistic workflow is still considered vital, the journalistic workflow is changing in nature, with the writing of micro-content being entrusted to ChatGPT-3.5 among the most visible features. This research assesses readers’ reactions to different headline styles as tested on a sample of 624 students from Timisoara, Romania, asked to evaluate the qualities of a mix of human-written vs. AI-generated headlines. The results show that AI-generated, informative headlines were perceived by more than half of the respondents as the most trustworthy and representative of the media content. Clickbait headlines, regardless of their source, were considered misleading and rated as manipulative (44.7%). In addition, 54.5% of respondents reported a decrease in trust regarding publications that frequently use clickbait techniques. A linguistic analysis was conducted to grasp the qualities of the headlines that triggered the registered responses. This study provides insights into the potential of AI-enabled tools to reshape headline writing practices in digital journalism. Full article

Artificial intelligence has made its mark on the media industry in Romania, and television is one of the sectors most affected by its development. This paper analyzes through a quantitative method the impact of artificial intelligence (AI) on television from the perspective of media industry professionals in Romania. The research was conducted usinga quantitative method based on a structured questionnaire. The study focuses on the responses of 128 journalists working in local and national TV stations directly involved in content creation and editorial or production processes. We selected this sample because media specialists have the knowledge to express informed opinions on this subject. The survey results show that artificial intelligence is increasingly used in Romanian newsrooms. Television professionals believe that artificial intelligence tools are helpful and that they can improve the quality of content. However, at the same time, there are serious concerns about the possibility that jobs could be affected. In addition, the risk of misinformation is growing with the increasing use of artificial intelligence tools. Findings suggest that strategic, industry-wide regulations and ethical guidelines are essential to balance AI adoption while safeguarding media integrity. This research may serve media organizations, policymakers, and academia in formulating informed approaches toward AI. Full article

Podcasts have established themselves in the digital media landscape as an integral part of information gathering and opinion formation for many users. The number of podcast users has stabilized at a high level in recent years. However, podcast producers, including podcast journalists, remain a largely unexplored group. This study focuses on podcast journalists and aims to identify the perceptions, motivations, and quality standards relating to their roles in podcasting. It is based on the results of an online survey of 378 podcast journalists from Germany, Austria, and Switzerland. Against a background of the concept of pioneer journalism, this article argues that podcast journalists are innovative contributors to the journalism ecosystem and have positioned themselves as new actors within the field. The findings of this study show that podcast journalists create, produce, and present journalistic content, for instance news or background stories, in the form of audio episodes, and see themselves as both educators and entertainers. They use the creative freedom of podcasting to engage deeply with their audiences and achieve high levels of listener loyalty. While financial gain is not their primary motivation, they have innovated new revenue models. They are committed to the quality of their content and emphasize comprehensibility and accuracy of information. Full article

Over the last decade, AI has increasingly been adopted by newsrooms in the form of different tools aiming to support journalists and augment the capabilities of the profession. The main idea behind the adoption of AI is that it can make journalists’ work more efficient, freeing them up from some repetitive or routine tasks while enhancing their research and storytelling techniques. Against this idea, and drawing on the concept of “hype”, we employ a critical reflection on the lens often used to talk about journalism and AI. We suggest that the severe sustainability crisis of journalism, rooted in growing pressure from platforms and major corporate competitors, changing news consumption habits and rituals and the growing technologization of news media, leads to the obsessive pursuit of technology in the absence of clear and research-informed strategies which cater to journalism’s civic role. As AI is changing and (re)shaping norms and practices associated with news making, many questions and debates are raised pertaining to the quality and plurality of outputs created by AI. Given the disproportionate attention paid to technological innovation with little interpretation, the present article explores how AI is impacting journalism. Additionally, using the political economy framework, we analyze the fundamental issues and challenges journalism is faced with in terms of both practices and professional sustainability. In the process, we untangle the AI hype and attempt to shed light on how AI can help journalism regain its civic role. We argue that despite the advantages AI provides to journalism, we should avoid the “shiny things perspective”, which tends to emphasize productivity and profitability, and rather focus on the constructive synergy of humans and machines to achieve the six or seven things journalism can do for democracy. Otherwise, we are heading toward “alien intelligence” which is agnostic to the core normative values of journalism. Full article

In this research article, budding journalists’ views and attitudes toward a prototype radio lesson that was designed and implemented utilizing advanced technologies are explored. These budding journalists hail from Greece, were studying in higher education or adult education at the time of the survey, and belong to one of the three youngest generational cohorts within adults (i.e., 18 years old and older); Generation X where their members are now known as Xers, Generation Y where their members are already known as Millennials, and Generation Z where their members are also known as Zoomers—XYZ Generations. The survey’s research data were collected after six interactive teachings from and through advanced technologies, via a specially designed written questionnaire, as case study experiments that applied qualitative action research with quasi-experiments. Analysis, descriptive, and inductive statistics were then applied to them from and through Internet applications and services. This is essentially empirical qualitative research that incorporates the approach of the quantitative analysis process. The resulting survey findings and results mainly contribute to the quality of higher education and adult education, especially in the field of media studies. Likewise, they align with or confirm previous contemporary empirical studies and research papers on the genealogical characteristics, habits, and ethos of the XYZ Generations, and particularly regarding the similarities among Xers and Zoomers, as well as that Generation Z can also be characterized as a “Sound Generation”. An important conclusion of this research article is that the success of a lesson or even a lecture seems to depend (a) on the good design and/or development of the lesson plan itself, as well as (b) on the communication classroom where the educational praxis takes place. Finally, these survey findings and results are also considered encouraging and could be utilized (a) for any audiovisual-supported teaching–learning procedure for adult learners; (b) across various educational levels and disciplines; or even (c) for members other generational cohorts. Full article

Through long-form, creative, high-quality stories, slow journalism seeks to counteract the effects of speed and immediacy in news production and consumption primarily driven by technological advancements. The advantages of artificial intelligence (AI) in journalism include generating and enhancing content, reducing workloads, and consequently giving journalists more time for non-routine and creative tasks. This raises the question of where AI fits into slow journalism. Twenty-one semi-structured interviews were conducted with practitioners of slow journalism in Spain to explore their use, attitudes, and perceptions of AI in their work. The findings indicate that the interviewees make rudimentary use of AI tools, and their attitudes range from a slight lack of interest to a willingness to learn more about them, alongside concerns regarding ethical boundaries and the potential for job losses. They assert that they have a moral and human responsibility when producing stories that AI cannot enhance in terms of quality, creativity, and emotional depth. It can be concluded that AI offers little to ‘slow’ journalists due to the significant limitations in enhancing long-form reporting. At most, it may enable them to streamline repetitive and non-creative work, thereby allowing the depth required in slow journalism, at least in its current state of development. Full article

This article aims to identify contemporary challenges in researching digital journalism images and propose potential outcomes for addressing these challenges. We argue that the analysis of contemporary journalistic photography requires a departure from traditional approaches used for analog images. Instead, it should be viewed within the ever-changing digital ecosystem in which digital journalism circulates and the new forms of creating, sharing, and visualizing its content that arise from platform context and mobile consumption. We have divided these challenges into two categories: the first relates to topics associated with the studied object, and the second pertains to the research process itself. On the one hand, changes in the nature of the photographic medium, its transmission and profusion potentials, shifts in journalistic workflow and labor relations, evolving professional multimedia needs, audience participation, and new forms of consumption are some of the aspects that need to be considered. On the other hand, we also must deal with the ephemeral quality of digital objects and recognize that researching digital objects is inherently intertwined with understanding the digital ecosystem in which these objects exist. Finally, we identify the digital methods-oriented approach as a potential path to addressing these challenges, mainly because of its characteristics of following and adapting to the medium’s logic Full article

In an era dominated by the digital revolution, the distribution of information has undergone a profound transformation. The duality of “quality journalism” and “viral journalism” has become an important theme in the modern media landscape. This paper explores the scope of information dissemination, dissecting the fundamentals, challenges, characteristics, and trends associated with both “quality” and “viral” journalism. Utilizing the Greek political scene as a case study, this paper aims to examine the tensions and trade-offs inherent in journalistic practices within the context of contemporary information dissemination. Analyzing closely media coverage surrounding events such as the election of Stefanos Kasselakis, the new President of the SYRIZA-Progressive Alliance party, we seek to elucidate the delicate balance between viral and quality journalism. By shedding light on these dynamics, our study aims to provide a nuanced understanding of how journalism navigates the tension between virality and quality within the Greek political sphere in a “post-politics” era. Full article

The competition to attract audiences has led to an increase in sensational or misleading headlines and content, with the aim of garnering user clicks in the news media. This dynamic alters the journalistic manner in which news is presented, and it does so by reducing informative quality and eroding the trust of the audience. This study examines the proliferation of clickbait strategies on the front pages of reputable international ‘serious’ press and how it manifests in readers’ consumption and sharing habits. We carried out a comparative content analysis of digital news articles from four international media sources (N = 1680): The Guardian (UK), The New York Times (USA), El País (Spain) and Público (Portugal). Our results confirm the existence of clickbait (N = 516) on the front pages, the most read content and the articles most shared on social media. Most clickbait titles resort to headline strategies of containing incomplete information that affect both hard and soft news topics. This particular finding highlights the inclusion of clickbait in the agenda of ‘serious’ journalism, despite the negative implications on information quality and trust. Associated with irrelevant content, this ‘hook’ captures the attention of the online audience more than the social media audience. Full article

The public service media Radio Televisión Española (RTVE) conducted a proof-of-concept study to automatically generate reports on the results of the local elections of 28 May 2023 in Spanish communities with fewer than 1000 inhabitants. This study describes the creation, testing and application of the methodological tool used to evaluate the quality of the reports generated using artificial intelligence in order to optimize the algorithm. The application of the proposed datasheet provided a systematic analysis, and the iterative use of the tool made it possible to gradually improve the results produced by the system until a suitable threshold was reached for publication. The study also showed that, despite the ability of AI systems to automatically generate a large volume of information, both human labour and the reliability of the data that feed the system are essential to ensure journalistic quality. Full article