What is a good Digital Society Extended Essay topic?

A good topic examines the impacts or implications of a specific digital system for clearly identified people or communities. It should connect naturally to Digital Society concepts, content and contexts rather than merely discussing a current technology. The topic must also support an arguable research question, so “How does TikTok work?” would be weaker than an evaluation of a defined moderation or recommendation practice. Evidence access matters as much as originality because an impressive idea cannot compensate for missing data. A suitable topic is therefore focused, analytical, researchable and realistic within 4,000 words.

Can I write my Digital Society EE about artificial intelligence?

Yes, AI can support an excellent Digital Society EE when the investigation is narrower than “the effects of AI on society.” Select one system or intervention, such as a school chatbot policy, synthetic-media disclosure rule or automated recruitment tool. Then define the affected group, outcome, jurisdiction and period you will investigate. You should understand the system sufficiently to explain its relevant mechanisms, but the essay should focus on social impacts and implications rather than becoming a computer science report. Because AI products change quickly, record model versions, access dates, settings and other conditions that affect reproducibility.

Does a Digital Society EE require primary research?

A Digital Society EE does not automatically require surveys, interviews or experiments. A well-designed investigation can rely on academic literature, official datasets, policy documents, platform transparency reports and other credible secondary material. Primary research is valuable only when it directly helps answer the research question and can be completed ethically. If you conduct interviews or surveys, justify the sample, acknowledge its limitations and avoid presenting a convenience sample as representative of a large population. Discuss your proposed method with your supervisor before collecting data.

How narrow should an IB Digital Society EE research question be?

The question should be narrow enough to support a reasoned answer within 4,000 words, not merely a compressed overview. Limit several dimensions, such as the digital system, location, community, outcome and period. For example, replace “How does social media affect democracy?” with a question about one platform policy, one electoral setting and one measurable aspect of political participation or information access. The question should also permit competing interpretations because an obvious answer produces little meaningful evaluation. If you cannot describe your evidence and method in one or two sentences, the scope probably remains too broad.

Can my Digital Society EE use the same topic as my inquiry project?

You must not duplicate or reuse submitted work across IB assessment components. Even when two projects concern a similar broad area, the research question, evidence, analysis and final writing must be independently developed. Significant overlap can also make it difficult to demonstrate a genuinely new research process. Before selecting an EE topic related to your inquiry project, show both proposed scopes to your supervisor and IB coordinator. The safest choice is usually a clearly different system, community or central problem.

What happens if the technology changes while I am writing my EE?

Rapid change is normal in Digital Society, so define a clear research period and preserve the evidence you analyse. Record access dates, policy versions, screenshots where permitted, model identifiers and the exact prompts or coding rules used. If an important change occurs, explain whether it affects your findings rather than restarting the entire project automatically. A bounded question about a documented period remains academically valid even when a platform later changes. Your evaluation can identify technological change as a limitation and explain how it affects the transferability of your conclusion.

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IB Digital Society EE Topics Worth Researching Now

IB Digital Society Extended Essay IB IB Extended Essay

• 8 Oct 2026•10

IB Digital Society EE Topics Worth Researching Now

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IB Digital Society EE Topics Worth Researching Now | RevisionDojo

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IB Digital Society EE Topics Worth Researching Now

IB Digital Society Extended Essay IB IB Extended Essay

• 8 Oct 2026•10

The strongest IB Digital Society EE topics combine a defined digital system, a particular community, an analytical concept, a real-world context and evidence that can be accessed ethically. Promising areas include AI governance, platform moderation, content provenance, educational AI, algorithmic management, digital accessibility and the environmental effects of data infrastructure.

The examples below are starting points, not questions to copy. Your final research question should reflect your interests, available evidence and supervisor guidance.

What makes a Digital Society EE topic suitable?

The Extended Essay is a compulsory, externally assessed independent research project with an upper limit of 4,000 words. Under the model for first assessment in May 2027, assessment considers the essay's framework, knowledge and understanding, analysis and line of argument, discussion and evaluation, and reflection. Confirm with your coordinator which guide applies to your examination session.

The official IB Digital Society subject brief organizes the course around three connected elements:

Concepts, such as power, identity, systems, change, expression, space, and values and ethics
Content, including data, algorithms, media, artificial intelligence, networks and autonomous technologies
Contexts, including political, economic, environmental, health, cultural and social settings

A viable EE connects these elements around a defined problem. Instead of researching “AI in schools,” for example, examine how one generative AI policy affects student agency and privacy in a particular institution.

Test a proposed topic by asking:

Can I identify the digital system precisely?
Which people or communities are affected?
Does the question require evaluation rather than description?
Can I obtain credible, varied evidence?
Can I answer it convincingly within 4,000 words?

The RevisionDojo Digital Society EE overview provides further guidance on scope and subject fit.

IB Digital Society EE topics worth investigating

Research area	Feasible provisional angle	Possible evidence
Generative AI in education	Evaluate how effectively one school policy protects student agency while permitting legitimate AI support	School policies, UNESCO guidance and approved teacher interviews
AI transparency	Examine whether one part of the EU AI Act adequately addresses a defined category of synthetic content	Legal text, regulator guidance and platform policies
Platform moderation	Compare how two platforms explain decisions concerning one content category	DSA database records, platform rules and transparency reports
Content provenance	Assess whether C2PA credentials help a defined audience interpret AI-edited news images	Technical standards, newsroom policies and an approved user study
Language representation	Investigate how consistently one AI system handles a minority language in a defined task	Controlled prompt audit and linguistic coding
Algorithmic management	Evaluate how app-based task allocation affects worker autonomy in one market	ILO research, platform documents and public worker testimony
Digital accessibility	Assess how effectively one public-service website serves users with a specified need	Accessibility audit, standards and expert commentary
Data-centre sustainability	Examine how proposed expansion affects energy governance in one locality	Planning records, energy data and stakeholder submissions

Timeliness does not automatically make a topic strong. The investigation must remain answerable if a platform changes a feature or a regulation develops while you are writing.

Why these angles are workable

Governance, moderation and transparency

AI governance creates a clearer evaluative problem than a general essay about AI's advantages and disadvantages. Public legal texts, implementation guidance and platform policies allow students to compare regulatory aims with actual practice. Keep the case narrow by selecting one jurisdiction, requirement and content category.

The European Commission's Digital Services Act Transparency Database also provides anonymized, machine-readable statements about moderation decisions. A student could compare stated reasons across two platforms during one month, while acknowledging that the database does not contain the underlying moderated content.

Content provenance and educational AI

The C2PA Content Credentials standard records information about the origin and editing history of digital content. It supports analysis of media, systems, power, and values and ethics. However, provenance does not prove that a claim is true, so investigate whether credentials improve interpretation rather than whether they can eliminate misinformation.

Educational AI connects familiar school settings with privacy, equity, agency and human knowledge. UNESCO's guidance on generative AI in education supplies an authoritative framework. A school policy analysis or evaluation of one defined use is more defensible than trying to prove that AI universally improves grades.

Work and environmental sustainability

The International Labour Organization's research on algorithmic management supports investigations into how tracked data and algorithmic systems organize, monitor and evaluate work. If interviews are impractical, legislation, platform documents and testimony already in the public record can support an ethical case study.

Environmental questions become manageable when connected to one proposed or operating data-centre cluster. The International Energy Agency's Energy and AI analysis provides broader context, while local records may reveal tensions involving electricity, water, employment and accountability. Avoid estimating the footprint of an individual prompt without defensible data.

Turning an idea into a research question

A useful planning structure is:

To what extent does [specific digital system] affect [defined outcome] for [particular group] in [place and period], viewed through [Digital Society concept]?

For example, “AI and education” could become: “To what extent does School X's generative AI policy protect student agency and data privacy during the 2026-2027 academic year?” Revise the wording if preliminary research shows that effectiveness cannot be measured reliably.

Before committing:

Locate 8-12 credible academic and primary sources.
Write two or three plausible answers to the question.
Identify evidence that could challenge each answer.
Define how terms such as fairness or transparency will be judged.
Confirm that research can be completed ethically and on schedule.

Use RevisionDojo's guides to developing an EE research question and finding credible EE sources to pressure-test the proposal.

Methods, ethics and common mistakes

Digital Society essays do not automatically require surveys. Suitable methods include policy analysis, content analysis, comparative case studies, accessibility audits, interviews and carefully justified mixed methods. Explain how your sample was selected and what the method cannot establish.

Research involving people, personal information or social media requires informed consent, privacy protection and appropriate data handling. Work involving minors may require school and guardian permission. Consult your supervisor before collecting data and use the RevisionDojo ethical research guide.

Avoid choosing a technology without a research problem, relying on confidential algorithms, treating company claims as neutral evidence or generalizing from a convenience survey. When auditing chatbots, record the model, date, settings and prompts. Your EE must also remain independent and must not duplicate submitted work from the Digital Society inquiry project or another component.

A practical scoping plan

Shortlist three areas, complete preliminary reading and choose one system. Create a source log recording each source's claim, usefulness and limitation. Then pilot the method by coding a small set of moderation records, auditing several web pages or comparing two policy documents before finalizing the question.

The RevisionDojo Digital Society EE guide and annotated coursework examples can clarify structure and methodology. Study examples for organization, never for wording or arguments to reproduce.

Conclusion

Strong IB Digital Society EE topics balance current relevance with controlled scope. Reduce your chosen area to one system, community, context and evaluative problem, then test whether appropriate evidence exists. RevisionDojo's Digital Society EE Guide, coursework examples and Jojo AI can help you examine scope, counterarguments and organization while keeping the research and writing your own.

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