Digital literacy: the invisible condition of citizenship

Column

Education

February 06, 2026

Digital literacy: the invisible condition of citizenship

Understanding, interpreting, and critically participating in the technological world has become a basic condition of contemporary life

We live in a digital era of permanent transformation. We are immersed, often almost invisibly, in a routine crossed by digital relationships of different natures: social, economic, professional, educational, and cultural. The presence of technology has become so constant and structuring that the set of behaviors, habits, and phenomena associated with network communication, access to information, and the cultural industry has come to be understood under the concept of cyberculture.

Cyberculture is not limited to tools or devices. It expresses how society organizes itself, produces meanings, shares information, and builds social practices through digital mediation. It is an ecosystem of languages, values, habits, and ways of acting that increasingly shapes everyday life.

Despite living in a largely digitized context, a significant portion of the population still finds it difficult to deal with this scenario. These limitations manifest in the comprehension, use, and critical, ethical, and effective creation of digital content, as well as in the ability to navigate, search, evaluate, produce, and share information online, or even to use basic digital tools in daily life. This gap in competencies characterizes what is understood as the absence or fragility of digital literacy.

The concept of digital literacy goes far beyond the technical mastery of tools. It concerns the ability to understand, critically evaluate, produce, and participate in social practices mediated by digital technologies. Since its earliest formulations, such as the definition proposed by writer and journalist Paul Gilster in the 1990s, the focus was already less on the technology itself and more on the critical interpretation of information. Digital literacy is not just knowing how to use, but knowing how to read the digital world, interpret its codes, recognize its risks and possibilities, and act consciously in this environment.

This perspective helps explain why some people, even without prior familiarity with certain tools, can learn them in a relatively intuitive way, while others face significant barriers. What is at stake is not just contact with technology, but the construction of repertoire, logic of use, critical thinking, and understanding of digital languages. In this sense, education plays a central role and cannot remain indifferent to the ongoing transformations. Digital literacy emerges as a fundamental condition for preparing citizens to face contemporary challenges, especially those related to new forms of communication, information, and social participation.

Social inclusion

The importance of digital literacy becomes even more evident when we observe how the digital realm has ceased to be a peripheral space to become part of the infrastructure of citizenship. It promotes social inclusion by allowing people to participate in digital routines with greater autonomy and security, strengthens educational processes, and expands lifelong learning opportunities. More than that, it redefines access to rights, services, and opportunities.

In Brazil, this movement is expressed in initiatives such as the adoption of digital drug leaflets, approved in a pilot project by Anvisa. Although the printed version remains guaranteed for those who request it, the digital leaflet expands access to information through QR Codes on packaging and allows for complementary content, such as explanatory videos and audios. The proposal aligns with a global trend of modernization and personalization of health information. However, for people with low or no digital literacy, this type of innovation can create more barriers than benefits, widening inequalities instead of reducing them.

The same reasoning applies to other ongoing transformations. The advancement of AI, the consolidation of Pix as the dominant payment method, and proposals like DREX — Brazil’s official digital currency — point to a future where money, services, and decisions will be increasingly mediated by digital infrastructures. Even today, however, many people face difficulties using banking applications and digital financial services, even in a context where organizations invest heavily in usability improvements, have design teams dedicated to intuitiveness, and apply good user experience practices. Changes of this magnitude, when not accompanied by consistent digital literacy policies and practices, tend to deepen existing exclusions.

When everything is moving towards digital, the inevitable question is: where do the people who cannot cope well with the digital in the economy, education, and social life fit in? Promoting digital literacy is, in this sense, a concrete way to ensure humans are in the loop. It is about ensuring that people remain capable of understanding, deciding, and actively participating in increasingly automated and technology-mediated processes.

This debate gains even more relevance in a context of population aging. With technological advances, especially in the areas of preventive health, life expectancy has been increasing consistently. Without resorting to ageist views, it is important to recognize that digital literacy is not an exclusive challenge for older people, but the data help to measure its importance in this group. The expressive growth in enrollment of people over 60 years old in higher education, especially in distance learning, indicates both the desire for continuous learning and the need to create digital environments that are more accessible, understandable, and welcoming.

Recent data from IBGE show that most of the Brazilian population already has internet access. However, the main declared barrier is not infrastructure, but the capacity for use. Millions of people remain disconnected or underutilize digital services simply because they do not know how to use them or do not perceive their relevance. In many households without internet access, the main reason is not cost, but the fact that no resident knows how to use it.

In a country with a strongly mobile-first profile, where the cell phone has consolidated as the main means of access to the internet, digital technology already structures fundamental economic and social practices, such as access to banking services and public policies. At the same time, this use remains concentrated in entertainment activities, such as voice and video calls, social networks, and digital media consumption, with income and schooling acting primarily as access determinants, rather than direct determinants of usage patterns.

Elderly

In the case of elderly people, studies indicate that digital inclusion and the development of digital literacy are associated with the reduction of loneliness, increased social participation, improved self-esteem, and positive impacts on cognitive domains such as memory and attention. Many remain on the digital margins not due to a lack of resources, but because of the absence of skills that allow them to use technologies autonomously and safely. The right to literacy and digital literacy should, therefore, be understood as an extension of the right to lifelong education, especially relevant in an increasingly digitized society. Despite this, instruments capable of consistently assessing digital literacy are still scarce, and tools developed and validated specifically for the Brazilian context are practically non-existent. This gap highlights the mismatch between the speed of digital transformation and the ability to understand, measure, and address it in a structured manner.

Promoting digital literacy does not just mean teaching the use of technologies. It means creating conditions for social participation, the exercise of citizenship, autonomy, and improvement in quality of life. It also implies reviewing consolidated myths, such as the idea that generations considered “digital natives” would automatically be digitally literate. The recurring difficulty of young people in performing “basic” computer tasks reveals that intensive technology use can coexist with deep gaps in understanding, autonomy, and critical thinking. In an increasingly digital society, digital literacy ceases to be a differential and becomes a basic condition for existing, participating, and deciding.

In a context where artificial intelligence-generated content becomes increasingly common and directly influences the formation of opinions, perceptions, and decisions, digital literacy assumes an even more strategic role. It helps people identify, question, and critically interpret content produced or mediated by other technologies, even when this distinction becomes increasingly subtle and difficult to perceive, even for digitally literate individuals.

More than recognizing tools or techniques, digital literacy involves the understanding that the digital environment operates through its own dialects, some explicit, others implicit, that shape narratives, meanings, and behaviors. Just as in any language or culture, understanding these codes (their uses, intentions, and limits) is an essential condition for conscious participation, intellectual autonomy, and critical exercise of citizenship in a society deeply permeated by technology.

To access the references of this text click here

Who wrote this column

Lucas Tangi

Lucas é Design Manager no Pecege, formado em tecnologia e especialista em gestão de equipes criativas. Com ampla experiência liderando equipes de design, é também palestrante, professor e consultor. Já participou de projetos em consultorias de tecnologia, venture builders, ODS e na amazônia brasileira. Entusiasta e pesquisador de futuros, dedica-se à inovação e à criação de soluções com alto impacto social e econômico.

You may also like

October 02, 2026

Determinants of supermarket location in São Paulo

A study investigated the determining factors for supermarket location in the state of São Paulo, with the objective of investigating the factors that explain the presence and expansion of these establishments, considering socioeconomic, demographic, and market dimensions. Data from the 2010 and 2022 Demographic Censuses of IBGE and information from the National Registry of Legal Entities of the Federal Revenue of Brazil were used to build a georeferenced database. A Random Forest classification model was applied, adjusted by grid search with cross-validation, prioritizing the recall-macro metric due to the imbalance of the dependent variable, which represented the presence or absence of supermarkets within a 50-meter buffer. The results indicated that supermarket location is strongly associated with demographic, income, and population characteristics in the surrounding area. The analysis of variable importance showed that sociodemographic factors, such as elderly literacy, household income, and the presence of other food establishments, exerted significant influence, especially in the immediate vicinity. The findings reinforced the hypothesis that the spatial distribution of supermarkets is not random, being conditioned by socioeconomic characteristics and the commercial structure of the territory, offering subsidies for business decisions and urban planning.

Keywords: Spatial Analysis; Machine learning; Expansion; Commercial location; Supermarkets.

Neuroscience And Learning In Education

October 02, 2026

Anti-Racist Education: Inclusive Educational Practices and Social Development

Antiracist education, understood as a structuring axis of inclusive education and social development, was investigated in the Brazilian context. The study aimed to identify and analyze, based on legal documents and teachers’ perceptions, educational practices capable of promoting antiracism in school and society, and how the implementation of Laws nº 10.639/03 and nº 11.645/08 contributed to social justice. A qualitative and documentary approach was adopted, with analysis of educational legislation, curricular guidelines, institutional reports, and academic literature. Complementarily, a semi-structured questionnaire was applied to 295 Basic Education teachers. The data were evaluated quantitatively and qualitatively, through thematic content analysis, and validated with bibliographic studies. The results revealed a paradox: despite a robust legal framework, the implementation of antiracist policies proved fragile and sporadic, with a lack of teacher training, adequate teaching materials, and monitoring. Significant educational inequalities between white and black students were found to persist, and most teachers acknowledged the occurrence of racism in schools, but without clear institutional protocols. Neuroscientific analysis showed that racism negatively impacts students’ cognitive and emotional development. It was concluded that antiracist education is central to quality education, requiring political commitment, public investment, and intersectoral articulation. The integration of Neuroscience in teacher training and the production of qualified materials are crucial to strengthen the school’s role in building a more just and inclusive society.

Keywords: Social Development; Antiracist Education; Social Justice; Law 10.639/03; Inclusive Educational Practices.

Neuroscience And Learning In Education

October 02, 2026

Paths of Inclusion: Perceptions of Parents and Teachers on the Schooling of Students with Dual Exceptionality in the Brazilian Context

Dual Exceptionality, characterized by the coexistence of High Abilities/Giftedness and neurodevelopmental disorders, represents a complex phenomenon that challenges traditional identification and schooling models. The study aimed to understand the perceptions of parents or guardians, teachers, and other education professionals regarding the schooling of students with Dual Exceptionality in the Brazilian context, investigating challenges, pedagogical strategies, and possibilities for inclusion based on equity. The research adopted a qualitative, exploratory, and descriptive approach, and collected data through an online, voluntary, and anonymous questionnaire answered by 25 participants. Discursive data were analyzed using thematic content analysis. The results indicated that knowledge about the topic is often built from personal and professional experiences, revealing gaps in systematic training. Difficulties were identified in identifying these students, in teacher training, and in implementing individualized educational plans, pedagogical flexibility, and curriculum enrichment. Socio-emotional repercussions, such as frustration and low self-esteem, were reported. However, some schools demonstrated inclusive practices based on equity, articulating specific needs and potentialities. Although the results do not allow for generalizations, they highlighted the need to strengthen professional training and the articulation between school, family, and specialized services. It was concluded that the inclusion of students with Dual Exceptionality requires practices that simultaneously recognize their difficulties and potentialities, ensuring equitable conditions for participation, learning, and development.

Keywords: Human development; Teacher training; School inclusion; Neurodivergence; Pedagogical practices.

October 02, 2026

Data Transformation into Strategy: Applied Research for Ecotourism Operation Optimization

The growing demand in ecotourism in Minas Gerais has driven the search for business intelligence to transform customer data into strategic information. The study aimed to structure a data science pipeline to collect, segment, and classify the customer base of an ecotourism operation, in order to optimize marketing actions and anticipate market movements. An exploratory, quali-quantitative research was conducted through a case study. 2,777 transactional records from an ecotourism company, referring to January 2024 to December 2025, were used. The methodological process involved automated data collection (Google Sheets API), processing and enrichment (ETL), validation, and creation of RFM (Recency, Frequency, and Monetary Value) attributes. Dimensionality reduction via PCA and K-Means clustering was applied, with the number of clusters defined by the Elbow method and Silhouette Score. The results were validated with DBSCAN and K-Medoids. The results revealed the identification of three behavioral customer segments: “Loyal”, “Low Value”, and “Potential”. The “Loyal” segment represented the highest accumulated economic value, while the “Potential” segment stood out for its high average ticket and potential for conversion into recurrence. The integration of data analysis techniques proved to be a robust and replicable method for generating intelligence in ecotourism. It was concluded that the structured data science pipeline enabled the behavioral segmentation of the customer base, the statistical validation of the groups, and the creation of a predictive system for new buyers, providing subsidies for data-driven strategic decisions and future analyses.

Keywords: Clustering; Business intelligence; Machine Learning; Customer segmentation; Decision making.

October 02, 2026

Classification of defaulting customers using supervised machine learning techniques

The risk of default in credit operations demanded analytical approaches to anticipate losses. This study comparatively evaluated the performance of supervised machine learning models in classifying defaulting customers in credit card operations. The public dataset “Default of Credit Card Clients” from the University of California Irvine was used, with 30,000 observations and class imbalance. The algorithms Logistic Regression, Random Forest, and Extreme Gradient Boosting were employed. The imbalance was addressed by assigning weights to the classes, and model optimization occurred with the RandomizedSearchCV method, prioritizing sensitivity. Cross-validation results indicated that the Extreme Gradient Boosting model showed a higher capacity for identifying the defaulting class and better discriminatory performance, followed by Random Forest and Logistic Regression, with a sensitivity of 0.8250 and an AUC-ROC of 0.7844 for XGBoost. Interpretability analysis, conducted by the Shapley Additive Explanations (SHAP) technique, highlighted the predominance of variables associated with payment behavior, especially the history of delays. It was concluded that tree-based models, particularly boosting techniques, proved to be more suitable for capturing complex patterns in the data, configuring themselves as consistent alternatives for credit risk management.

Keywords: Machine Learning; Credit Card; Classification; Extreme Gradient Boosting; Credit Risk.

October 02, 2026

Sentiment Analysis on Brazilian Banks on Twitter/X: Comparison between Traditional and Digital Institutions

A study analyzed public perception of Brazilian financial institutions on the Twitter/X platform, highlighting the importance of sentiment monitoring on social networks for understanding reputation and customer experience in the banking sector. The objective was to compare user perception of the image and reputation of traditional and digital banks, based on the sentiment patterns identified in the analyzed manifestations, seeking to identify structural differences between these groups. The methodology was based on the analysis of 1,096 tweets collected between November 2022 and June 2023. Two complementary sentiment analysis approaches were used, the sum and the average of labels, to capture the majority sentiment and nuances of perception. Additionally, the Market Profile Model, with indicators of emotional reputation, reputational risk, neutrality, and polarization, and the Banking Clustering Model, which allowed grouping institutions according to perception patterns, were developed. The results indicated a predominance of neutral and negative sentiments, a higher volume of interactions in digital banks, and structural differences in the emotional intensity of perceptions, with greater stability in digital banks and greater polarization in traditional ones. It was concluded that the combination of analytical and statistical techniques contributed to an in-depth understanding of institutional image in the digital environment, demonstrating the importance of data-driven reputation management strategies.

Keywords: Digital banks; Traditional banks; Data modeling; Opinion mining; Social Networks.

October 02, 2026

Optimization of annual budget planning through project management methodologies

The Annual Budget Planning (POA) is a crucial process for translating organizational strategy into operational and financial goals, but it frequently faces deadline pressures, interdepartmental dependencies, and the repetition of habitual expenses. The study aimed to analyze how the combined application of project management practices and Zero-Based Budgeting (OBZ) can optimize the POA. To this end, a case study was developed in the Brazilian operation of a publicly traded company in the beverage sector, using documentary research of its 2023 results report and an anonymous questionnaire applied to 47 respondents. Documentary analysis indicated growth in net revenue, expansion of gross profit and adjusted EBITDA, and contained advancement of selling, general, and administrative expenses, suggesting cost discipline and operational leverage. The complementary survey revealed a high perception of cascading effect on the schedule, strong support for defining cost package owners, and a preference for technical justification of expenses, in addition to demand for controlled flexibility after the baseline definition. It was concluded that structuring the POA as a project, associated with the rigor of OBZ, increased the process predictability, reinforced accountability for expenses, and broadened the coherence between budgetary execution and economic-financial performance.

Keywords: Cost Control; Operational Efficiency; Zero-Based Budgeting; PMBOK; Beverage Sector.