Digital Architecture of Disinformation

 

By Lilian H. Hill

 

Fake news and disinformation are not new, but their rapid spread is unprecedented. Many individuals struggle to distinguish between real and fake news online, leading to widespread confusion (Hetler, 2025). Disinformation architecture refers to the systematic and strategic methods used to create, spread, and amplify false or misleading information. It involves a combination of technology, human effort, and coordinated tactics to manipulate public opinion, sow discord, or achieve specific political or social goals. This architecture leverages technology, social networks, and psychological manipulation to shape public perception, influence behavior, or achieve specific objectives, such as political, financial, or ideological gains.

 

In the last few decades, Gal (2024) stated that social media platforms have transformed from basic networking sites into influential entities that shape public opinion, sway elections, impact public health, and influence social cohesion. For example, during the recent U.S. presidential election, platforms like X played a key role in disseminating accurate information and misinformation, mobilizing voters, and affecting turnout. Likewise, during the COVID-19 pandemic, social media was instrumental in sharing public health guidelines but also became a hotspot for the spread of misinformation regarding vaccines and treatments.

 

Bossetta (2024) stated that a platform's digital architecture influences political communication on social media, meaning the technical frameworks that facilitate, restrict, and shape user behavior online. This generally refers to what platforms enable, prevent, and structure online communication, such as through likes, comments, retweets, and sharing. Ong and Cabañes (2018) commented that the basic blueprint of political disinformation campaigns strongly resembles corporate branding strategy. However, political disinformation requires its purveyors to make moral compromises, including distributing revisionist history, silencing political opponents, and hijacking news media attention.

 

The primary goals of disinformation campaigns are political manipulation, social division, economic gains, and the erosion of trust in institutions such as the media, science, and democracy. Their impacts are far-reaching, leading to increased polarization, manipulation of democratic processes, reputational damage, and harm to individuals' mental well-being (Bossetta, 2018).

 

Influence of Disinformation Architecture

Disinformation has far-reaching consequences, including the erosion of trust in key institutions such as journalism, science, and governance. By spreading misleading narratives, it undermines public confidence in credible sources of information. Additionally, disinformation fuels polarization by deepening societal divisions and promoting extreme or one-sided perspectives, making constructive dialogue more difficult. It also plays a significant role in manipulating democracies, influencing elections and policy debates through deceptive tactics that mislead voters and policymakers. Beyond its societal impacts, disinformation can cause direct harm to individuals by targeting their reputations, personal safety, and mental well-being, often leading to harassment, misinformation-driven fear, and public distrust.

 

Components of Disinformation Architecture

Disinformation architecture consists of several key components that manipulate public perception. It begins with reconnaissance, where the target audience and environment are analyzed to tailor the disinformation campaign effectively. Once this understanding is established, the necessary infrastructure is built, including creating believable personas, social media accounts, and groups to disseminate false information. Content creation follows, ensuring a continuous flow of misleading materials such as posts, memes, videos, and articles that support the disinformation narrative.

 

The core aspects of disinformation architecture include content creation, amplification channels, psychological tactics, targeting and segmentation, infrastructure support, and feedback loops. Content creation involves fabricating fake news, manipulating media, and employing deepfake technology to mislead audiences. Amplification is achieved through social media platforms, bot networks, and echo chambers that reinforce biased narratives. Psychological tactics exploit emotions, cognitive biases, and perceived authority to gain trust and engagement. Targeting and segmentation enable microtargeting strategies, exploiting demographic vulnerabilities to maximize influence. Infrastructure support includes data harvesting, dark web resources, and monetization channels that sustain disinformation campaigns. Feedback loops ensure that engagement algorithms prioritize viral and sensationalist content, keeping misinformation in circulation.

 

Amplification is crucial in spreading this content widely, utilizing bots, algorithms, and social-engineering techniques to maximize reach. Engagement is then sustained through interactions that deepen the impact of disinformation, often through trolling or disruptive tactics. Eventually, mobilization occurs, where unwitting users are encouraged to take action, leading to real-world consequences.

 

Mitigation of Disinformation Architecture

To mitigate disinformation, several strategies must be implemented. Regulation and policy measures should enforce platform transparency rules and penalize the deliberate spread of harmful content. According to Gal (2024), because social media platforms play an increasingly central role in information dissemination, ensuring the integrity of that information has become more urgent than ever, making discussions about regulation essential. Given their profound influence on nearly every aspect of society, these platforms should be treated as critical infrastructure—like energy grids and water supply systems—and subject to the same level of scrutiny and regulation to safeguard information integrity. Just as a power grid failure can cause widespread disruption, large-scale social media manipulation can erode democratic processes, hinder public health initiatives, and weaken social trust.

 

Technological solutions like AI-driven detection systems and verification tools can help identify and flag false information. Public awareness efforts should promote media literacy, encouraging individuals to critically evaluate information and question sensationalist narratives (Hetler, 2025). Finally, platform responsibility must be strengthened by modifying algorithms to prioritize credible sources and enhancing content moderation to limit the spread of disinformation. Understanding these mechanisms is essential to developing effective countermeasures against the growing threat of disinformation in the digital age.

 

References

Bossetta, M. (2018). The digital architectures of social media: Comparing political campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. election, Journalism and Mass Communication Quarterly, 95(2), 471–496. https://doi.org/10.1177/1077699018763307

Bossetta, M. (2024, October 16). Digital architecture, social engineering, and networked disinformation on social media. EU Disinfo Lab. Retrieved https://www.disinfo.eu/outreach/our-webinars/webinar-digital-architectures-social-engineering-and-networked-disinformation-with-michael-bossetta/

Gal, U. (2024, November 17). Want to combat online misinformation? Regulate the architecture of social media platforms, not their content. ABC. Retrieved https://www.abc.net.au/religion/uri-gal-online-misinformation-democracy-social-media-algorithms/104591278

Hetler, A. (2025, January 7). 11 ways to spot disinformation on social media. TechTarget. Retrieved https://www.techtarget.com/whatis/feature/10-ways-to-spot-disinformation-on-social-media

Ong, J. C., & Cabañes, J. V. A. (2018). The architecture of networked disinformation: Behind the scenes of troll accounts and fake news production in the Philippines. The Newton Tech4Dev Network. Retrieved https://newtontechfordev.com/wp-content/uploads/2018/02/ARCHITECTS-OF-NETWORKED-DISINFORMATION-FULL-REPORT.pdf

Digital Architecture of Social Media Platforms

 

By: Lilian H. Hill

 

The architecture of an environment is known to influence human behavior. The relationship between structure and agency extends beyond physical spaces and encompasses how individuals engage with and navigate online environments (Bossetta, 2018). How social media platforms are designed and mediated varies, and these differences influence people’s online activities. For example, some social media platforms favor visual communication, while others favor textual communication.

Bosetta (2018) divided the digital architecture of social media platforms into four key categories:

 

1. Network Structure can be defined as the way connections between accounts are established and sustained. It determines how connections between accounts are established and maintained. Social media enables users to connect with peers (“Friends” on Facebook, “Followers” on X [formerly known as Twitter]), as well as with public figures, brands, or organizations, which often operate specialized accounts with advanced tools (e.g., Facebook Pages, Instagram Business Profiles).

 

This structure influences three key aspects:

1. Searchability – How users discover and follow new accounts.
2. Connectivity – The process of forming connections. For example, Facebook’s mutual Friend model mirrors offline networks, while X’s one-way following system fosters networks with weaker real-life ties.
3. Privacy – Users' control over search visibility and connection interactions. Snapchat prioritizes private ties, while platforms like Instagram and X default to open networks but allow customizable privacy settings.

 

These elements shape the platform’s network dynamics, user relationships, and the content generated (Bosetta, 2018).

 

2. Functionality defines how content is mediated, accessed, and distributed on social media platforms. It encompasses five key components:

1. Hardware Access – Platforms are accessed via devices like mobiles, tablets, desktops, and wearables, influencing user behavior. For instance, tweets from desktops tend to show more civility than those from mobile devices.
2. Graphical User Interface (GUI) – The visual interface shapes navigation, homepage design, and interaction tools like social buttons (e.g., X Retweets, Facebook Shares), simplifying content sharing.
3. Broadcast Feed – Aggregates and displays content, varying in centralization (e.g., Facebook's News Feed) and interaction methods (e.g., scrolling vs. click-to-open).
4. Supported Media – Includes supported formats (text, images, videos, GIFs), size limits (character counts, video length), and hyperlinking rules.
5. Cross-Platform Integration – Enables sharing of the same content across multiple platforms.

 

These elements shape content creation, network behavior, and platform norms, influencing user expectations and interactions. Political actors, for example, must align with platform-specific norms to avoid appearing out-of-touch or inauthentic, which could harm their credibility and electability.

 

3. Algorithmic Filtering determines how developers prioritize posts’ selection, sequence, and visibility. This involves three key concepts:

1. Reach – How far a post spreads across feeds or networks, which algorithms can enhance or restrict.
2. Override – Pay-to-promote services, like Facebook's "boosting," allow users to bypass algorithms and extend a post's reach.
3. Policy – policies on fact-checking processes are subject to change, which permits the spread of fake news.

 

These factors are most relevant on platforms with one-to-many broadcast feeds (e.g., Facebook, X, Instagram). Platforms focused on one-to-one messaging (e.g., Snapchat, WhatsApp) are less affected by algorithmic filtering. However, when algorithms dictate content visibility, they influence users' perceptions of culture, news, and politics.

 

4. Datafication is how user interactions are transformed into data points for modeling. Every social media interaction leaves digital traces that can be used for advertising, market research, or improving platform algorithms. Maintaining a social media presence in political campaigns is less about direct interaction with voters and more about leveraging user data. Campaigns can analyze digital traces to inform persuasion and mobilization strategies.

 

Kent and Taylor (2021) commented that the design of many social media platforms limits meaningful discussions on complex issues. Deep, deliberative debates on complex problems like climate change or economic inequality are difficult on platforms optimized for advertising and data monetization.

References

Bossetta, M. (2018). The digital architectures of social media: Comparing political campaigning on Facebook, Twitter, Instagram, and Snapchat in the 201 6U.S. election, Journalism and Mass Communication Quarterly, 95(2), 471–496. https://doi.org/10.1177/1077699018763307

 Kent, M. L., & Taylor, M. (2021). Fostering dialogic engagement: Toward an architecture of social media for social change. Social Media + Society, 71(1). https://orcid.org/0000-0001-5370-1896

Assessment Literacy in the Digital Age: What do the Results Mean?

 

 

Assessment literacy is essential for educators, administrators, policymakers, and other stakeholders involved in education to make informed decisions, improve teaching and learning practices, and promote student success. Assessment literacy is the ability to interpret, develop, and use assessments effectively and ethically to evaluate student learning and guide instructional decisions. It requires knowledge and skills associated with designing, selecting, interpreting, and using high-quality assessments to improve student learning. Husain (2021) indicated that “assessment literacy for educators has become an integral part of education systems” (p. 65).

 

Assessment contributes to effective instruction and curriculum decisions. For example, it can help you answer questions like the following:

 

• Did my students master the learning targets of this course?
• Should I reteach or move on to the next lesson?
• Do any students need individual tutoring?
• Are our intervention programs effective?
• Does our assessment rigor match instructional rigor?
• Where can we improve instruction?

 

Proficiency in assessment practices enhances the quality of teaching and learning (Husain, 2021). Assessment knowledge, skills, and practices are necessary for preparing effective assessment tools and strategies.

 

Digital Literacy Skills in Assessment Practices

As instruction moved online due to the Corona Virus Pandemic, digital assessment literacy has become critical to instruction. Digital literacy skills guide assessment of online instruction. Digital literate assessments do not replace classroom assessments; instead, they expand the skill set required of educators. At the same time, digital tools can augment and automate assessment practices, making the assessment process more informative, faster, and more convenient.

 

Digital literacy and assessment literacy are both crucial skills in the modern educational landscape and they are interrelated in eight ways illustrated in the table below:

	In-Person Assessment	Digital Literacy Assessment
Individual Student Performance	Assessment results provide insights into individual student performance. Educators can identify students who are excelling, those who may be struggling, and those who fall somewhere in between. This information helps teachers tailor instruction to meet the needs of diverse learners.	Digital literacy equips educators to navigate and analyze digital assessment data effectively, identifying trends and patterns in individual student performance.
Learning Progress	Assessment results can also indicate students' progress over time. By comparing current results to previous assessments, educators can assess growth and identify areas where students may need additional support or enrichment.	Digital literacy enables educators to conduct personalized data analysis, identifying areas where individual students may need additional support or enrichment based on digital assessment data.
Curriculum Alignment	Assessment results can reveal how well instructional practices align with curriculum standards and learning objectives. If students consistently perform poorly on specific assessments, it may indicate a need to revisit or revise instructional strategies and materials to better address the curriculum.	With digital literacy, educators can easily compare current assessment results to previous data sets, facilitating longitudinal analysis of student progress and alignment with curriculum standards.
Instructional Effectiveness	Assessment results provide feedback on the effectiveness of instructional methods and interventions. Educators can analyze which instructional approaches are most successful in promoting student learning and adjust their teaching practices accordingly.	Digital literacy supports educators in mapping assessment results to curriculum standards and adjusting instructional practices to better align with curriculum requirements based on digital assessment data.
Group Performance Patterns	Examining assessment results for groups of students can reveal patterns and trends in performance. Educators can use this information to identify instructional priorities, allocate resources effectively, and implement targeted interventions for specific student populations.	Digital literacy enables educators to create interactive data visualizations that enhance the interpretation of group performance patterns, allowing for dynamic exploration of assessment data.
Data-Informed Decision-Making	Assessment results serve as valuable data points for informed decision-making at the classroom, school, and district levels. Educators can use assessment data to identify areas of strength and areas for improvement, allocate resources strategically, and monitor progress toward educational goals.	With digital literacy, educators can make data-driven decisions based on assessment results, identifying instructional priorities, allocating resources effectively, and implementing targeted interventions using digital tools for data analysis.
Communication with Stakeholders	Educators should be able to effectively communicate assessment results to students, parents, colleagues, and administrators. Clear and transparent communication helps stakeholders understand student progress, areas of concern, and strategies for improvement.	Digital literacy empowers educators to communicate assessment results digitally to various stakeholders, using platforms such as learning management systems and online portals for transparent and effective communication.
Ethical Considerations	It is essential to interpret assessment results ethically and responsibly, considering factors such as fairness, equity, and confidentiality. Educators should avoid making assumptions based solely on assessment data and consider multiple sources of evidence when evaluating student performance.	Digital literacy includes understanding ethical considerations in data interpretation, ensuring that educators interpret assessment results responsibly, considering factors such as fairness, equity, and confidentiality in their analysis.

Table 1: Considerations for Classroom and Digital Assessments

In summary, digital literacy and assessment literacy are interrelated in education, as they both contribute to effective teaching and learning practices in the digital age. Educators who possess both sets of skills are equipped to leverage technology for assessment purposes, interpret assessment data accurately, address technological challenges, and create meaningful assessments.

References

 

Husain, F. N. (2021). Digital Assessment Literacy: The Need of Online Assessment Literacy and Online Assessment Literate Educators. International Education Studies, 14(10), 65-, No. 10; 2021

National Task Force on Assessment Education for Teachers (n.d.). Assessment Literacy Defined. Institute for Education Sciences. Available https://ies.ed.gov/ncee/edlabs/regions/northeast/onlinetraining/ResourcesTools/Assessment%20Literacy%20Definition.pdf

Techniques for Assessing Digital Literacy Skills

 

Assessing digital literacy skills requires a multifaceted approach encompassing various purposes and techniques tailored to the specific competencies being evaluated (Reichert et al., 2023). Digital literacy comprises multiple skills, including information literacy, media literacy, digital communications, cybersecurity awareness (privacy and safety), critical thinking and problem-solving using digital tools, coding/programming, and, more recently, artificial intelligence literacy. In this blog post, we present information about assessment types, and techniques and link them to digital literacy. As a summary, we include a table that matches assessment techniques with their purposes, key features, educational impact, and types.

 

Assessment Types

Assessments can be formative, summative, or performance-based: 

• Formative Assessments are conducted during the learning process to provide ongoing feedback for instructors and adult learners so that they can adjust their teaching and learning strategies.
• Performance-based Assessments are used to evaluate the ability of learners to perform tasks in real or simulated environments. These can be formative or summative assessments.
• Summative Assessments occur at the end of a learning period and are used to evaluate the total learning outcomes.

 

Assessment Techniques

Assessment techniques are specific methods or tools to gather information about learners' knowledge, skills, abilities, and performance (Hill, 2020). Common techniques used to assess digital literacy skills include 1) formative assessment with feedback, 2) practical application, and 3) simulations with case-based scenarios.

 

1.     Formative Assessment with Feedback

Formative Assessment Tools: Incorporate formative assessment tools such as online polls, surveys, exit tickets, or quick quizzes to gauge learners' understanding and real-time progress.

Online Quizzes and Tests: Use online quizzes and tests to assess learners' knowledge of digital concepts, terminology, and best practices. Questions can address internet safety, cybersecurity, digital citizenship, software applications, file management, and basic troubleshooting. Provide immediate feedback to learners to reinforce learning and address misconceptions.

Digital Portfolios: Have learners compile digital portfolios that highlight their digital creations, projects, and reflections on their learning journey. Portfolios can include work samples, self-assessments, reflections on challenges and successes, and evidence of growth over time. Assess portfolios based on criteria such as organization, depth of reflection, creativity, and mastery of digital skills.

Online Discussions and Collaborative Activities: Facilitate online discussions and collaborative activities that require learners to communicate, collaborate, and problem-solve in digital environments. Assess participation, contributions, and collaboration skills demonstrated during these activities. Use rubrics or checklists to evaluate communication effectiveness, teamwork, and digital etiquette.

Online Assessment Tools: Employ online assessment tools and platforms for evaluating digital literacy skills. These tools may include interactive simulations, adaptive quizzes, coding challenges, digital storytelling platforms, and gamified learning experiences. Analyze learners' performance data and engagement metrics to identify areas for improvement and personalize instruction.

2.     Practical Application

Performance-Based Tasks: Create tasks that require learners to perform specific actions using digital tools or platforms. For example, tasks might include creating a document in a word processing program, conducting online research, organizing data in a spreadsheet, or designing a presentation. Assess learners based on the quality and efficiency of their performance.

Digital Projects: Assign digital projects that allow learners to demonstrate their creativity, critical thinking, and technical skills. Projects could involve creating multimedia presentations, websites, blogs, podcasts, videos, or digital artwork. Assess the projects based on content relevance, organization, multimedia integration, and technical proficiency.

Authentic Assessments: Design authentic assessments that require learners to apply digital literacy skills in real-world contexts relevant to their interests, academic pursuits, or future careers. Authentic assessments may involve creating a digital marketing campaign, analyzing data sets, coding a software application, or designing a website for a local business.

3.     Simulations and Scenario-Based Learning

Simulations: Develop environments or scenarios that mirror real-life digital tasks or challenges. For instance, simulating an online shopping experience, navigating social media privacy settings, or troubleshooting common computer issues. Observe learners' interactions and decision-making processes within the simulation to assess their digital problem-solving skills and strategies.

The table below organizes these assessment techniques by their purposes, key features, educational impact, and type of assessment.

Technique	Purpose	Key Features	Educational Impact	Type of Assessment
1.     Formative Assessments with Feedback
Online Quizzes and Tests	Assess knowledge of digital concepts and practices.	Questions on internet safety, cybersecurity, digital citizenship.	Provides immediate feedback; ensures understanding of fundamental digital concepts.	Summative
Digital Portfolios	Showcase and reflect on digital learning journey.	Collection of digital work, reflections, and assessments.	Encourages self-assessment and continuous learning; demonstrates growth and mastery.	Formative, Summative
Online Discussions and Collaborative Activities	Enhance communication and collaboration in digital environments.	Forums and collaborative tasks online.	Builds communication and teamwork skills; fosters community engagement.	Formative, Summative
Online Assessment Tools	Evaluate and enhance digital literacy skills.	Interactive simulations, quizzes, and gamified learning experiences.	Offers personalized insights; supports adaptive learning and skill development.	Formative, Summative
1.     Practical Application
Performance-Based Tasks	Develop practical skills using digital tools.	Hands-on activities with digital tools like word processors, spreadsheets.	Enhances operational proficiency in technology use; promotes task-specific skills.	Summative
Digital Projects	Foster creativity and technical skills through project creation.	Creation of multimedia presentations, websites, blogs, etc.	Encourages innovation, critical thinking, and comprehensive technical skill application.	Summative
Authentic Assessments	Apply digital skills in real-world contexts.	Realistic tasks like digital marketing campaigns, software coding.	Improves ability to transfer skills to real-life scenarios; enhances job-relevant competencies.	Summative, Performance-based
2.     Simulations with Case-Scenarios
Simulations	Mirror real-life digital challenges for problem-solving practice.	Scenarios like online shopping, navigating privacy settings.	Develops decision-making and problem-solving skills in realistic settings.	Formative, Summative

 

By employing these assessment techniques, educators can effectively assess adult learners' digital literacy skills across various domains, including technical proficiency, critical thinking, creativity, communication, collaboration, and responsible digital citizenship. Additionally, providing opportunities for practice, feedback, and reflection can support learners in developing and refining their digital skills over time.

References

Hill, L. H. (2020). Assessment, evaluation, and accountability in adult education. Stylus.

Reichert, F., Pan, Q., & Chen. L. L. (2023). Digital literacy assessment. UNESCO Global Education Monitoring Report Team. https://unesdoc.unesco.org/ark:/48223/pf0000386202