Search

Recent developments in generative Artificial Intelligence (AI) have revitalized academic discourse on algorithmic systems, particularly on their potential, ethical considerations, risks, and regulatory challenges. Extensive research has examined how algorithms affect communication processes, focusing on their influence on news organizations, journalistic practices, public-media dynamics, media literacy, and combating disinformation and filter bubbles. An emergent strand of research defines and measures the multidimensional concept of algorithmic literacy. However limited research exists on the intersection of algorithmic literacy and journalism. This gap is particularly concerning given the pivotal role of journalism in shaping public discourse, informing citizens, upholding democratic values and contrasting disinformation. Understanding how journalists perceive and engage with algorithms is essential, as these technologies significantly influence their professional tasks, including content production and distribution. In Portugal, where newcomer journalists work in precarious conditions and digital media transformation is rapidly evolving, understanding how journalists interact with and perceive algorithms is vital. Our study, through a multi-phased approach, aims to fill this gap questioning how can algorithmic literacy, encompassing cognitive, attitudinal and behavioural dimensions, be effectively assessed among professional journalists? The exploratory results present a validated methodological tool, instrument based on a multidimensional analytical framework and specifically designed to measure algorithmic literacy levels and to assess journalists' experiences. Critical discussion addresses the methodological procedures and preliminary findings from the pre-test, offering insights into Portuguese journalists' understanding, perceptions, and competencies regarding algorithmic systems. By shedding light on the cognitive, affective, and behavioural aspects of journalists' engagement with algorithms, this study contributes to a deeper understanding of the algorithmic literacy among journalists, which is essential to sustain the quality of their work and for an effective counteraction against disinformation. It also opens avenues for similar studies in other geographical or professional contexts. [ABSTRACT FROM AUTHOR]

This paper aims to foster the debate on Media Literacy (ML) projects with a focus on disinformation. We analyse initiatives carried out locally in Portugal, considering the principles of ML, the necessary development of skills and competences, as well as the importance of the journalistic action and the consequences of platformization on professional practices. Mixed methods are applied to collect and analyse quali-quantitative data from ML projects and trainings involving multiple stakeholders. Inquiring three independent samples (editors-in-chief, journalists trained in ML, teachers trained by journalists in ML) the research questions address the importance of journalists' participation in ML within different roles, as well as the training quality and projects' assessment. Findings show a lack of specialised knowledge, practical tools, and continuous training as well the need for more tailor-made programs and evaluation resources that allow for the creation and promotion of more effective ML training programs. This contribution is therefore two-folded: a) it aims to enhance the operational aspects of media training in the field, based on a continuous improvement logic and b) it explores a specific evaluative example on how the feedback from training can help improve research efforts in the media literacy field. Conclusions systematise the assumptions, stemming from an articulation of ML stakeholders' perspectives, that guide the implementation, improvement, and assessment of training: collaboration, continuity, and sustainability. These inductive categories allow for the development of theoretical-practical dimensions of the processes for evaluating innovative training against disinformation which may in turn have an inoculation role in the wider public sphere. We suggest improvements to the methodological-operational processes to involve journalists, to do follow-up, assessment, and implementation of wider training projects, contributing to applied research. [ABSTRACT FROM AUTHOR]