Digital Society IA Ideas Examiner-ranked inquiry topics · 2026
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24 IB Digital Society IA ideas that score highly

Experienced IB examiners's pick of Digital Society inquiry project topics for 2026 — grouped by theme, each anchored to a real-world example with the impacted group, the key concept and why it scores. Choose one, then plan it in our examiner-written Digital Society inquiry frame.

What makes a Digital Society inquiry topic score? A strong inquiry investigates one specific, real, documented example of a digital system's impact on particular people or a community — not technology in general. It has a focused question that names a system, an impact and the people affected; a range of referenced sources used as evidence; the course's concepts, content and contexts applied to explain the impacts; more than one perspective weighed; and a balanced, justified evaluation. Every idea below is built to do all of this — phrase yours as "How does … affect …?".

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Drop it straight into the free Digital Society inquiry frame. The planning sections — your inquiry question, real-world example, sources and plan — are free; unlock the full step-by-step inquiry (impacts & perspectives, analysis through the framework, evaluation and limitations) to take it to the top band.

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DATA & ALGORITHMS

Algorithmic systems make decisions about real people — perfect for investigating impacts on a specific, documented group.

1 · How does a city's predictive-policing system affect trust between residents and police in the neighbourhoods it targets?

Real-world example: one city's named predictive-policing rollout (e.g. a documented PredPol/equivalent deployment) · Impacted group: residents of the targeted neighbourhoods · Key concept: power & values/ethics

Perspectives come from the police department's policy, residents' and civil-rights groups' reporting, and independent audits of the algorithm — a genuine conflict over fairness, bias and consent to analyse through data and power.

dataalgorithmsperspectives

2 · How does a streaming platform's recommendation algorithm shape the music or news a specific group of listeners encounters?

Real-world example: one platform's recommender (e.g. a documented Spotify or YouTube case) · Impacted group: a defined user community (e.g. independent artists or first-time news readers) · Key concept: change & identity

Weigh the platform's design rationale, creators' reach data, and researchers' filter-bubble findings — a clear range of perspectives on how an algorithm steers what people see.

algorithmsmediadata

3 · How does an AI hiring-screening tool affect applicants from underrepresented groups at one company?

Real-world example: a named company's documented AI résumé-screening case (e.g. the reported Amazon recruiting-tool case) · Impacted group: applicants from underrepresented groups · Key concept: values & ethics (bias)

The vendor's claims, the company's audit, and independent reporting on bias give contrasting perspectives, and the data-and-algorithm content explains exactly how the disparity arises.

AIdataperspectives

AI & AUTOMATION

Generative and automated systems are reshaping specific workplaces and classrooms — ideal for an inquiry into a single documented rollout.

4 · How does a generative-AI writing tool affect academic-integrity practices for students in one school?

Real-world example: one school's response to ChatGPT (a documented policy change or detector adoption) · Impacted group: students and teachers in that school · Key concept: change & values/ethics

Perspectives from the school's policy, students' accounts, and detector-vendor and researcher evidence on false positives let you weigh a real tension over fairness and trust.

AIperspectivesethics

5 · How does the deployment of warehouse automation affect the work and wellbeing of employees at one fulfilment centre?

Real-world example: a named fulfilment centre's documented robotics/algorithmic-management rollout · Impacted group: warehouse workers at that site · Key concept: power & change

The company's productivity case, workers' and union reporting, and labour researchers' analysis give contrasting perspectives on surveillance, pace and job quality.

AIperspectivesdata

6 · How does an AI medical-diagnosis tool affect clinicians and patients in one hospital department?

Real-world example: a documented hospital deployment of a diagnostic AI (e.g. a named radiology or sepsis-alert system) · Impacted group: clinicians and patients in that department · Key concept: values & ethics (trust, accountability)

Vendor validation studies, clinicians' accounts of over- or under-reliance, and independent audits of the model's accuracy weigh a sharp tension over who is accountable for a decision.

AIethicsperspectives

SOCIAL MEDIA, NETWORKS & EXPRESSION

Platforms govern what specific communities can say and see — a rich seam of documented, evidenced impacts to investigate.

7 · How does a social platform's content-moderation policy affect a specific creator community's freedom of expression?

Real-world example: a documented moderation/demonetisation case affecting one community (e.g. LGBTQ+ or health creators on a named platform) · Impacted group: that creator community · Key concept: power & values/ethics

The platform's policy, affected creators' testimony, and digital-rights groups' reporting give a genuine conflict over expression, reach and opaque enforcement.

medianetworksperspectives

8 · How does an algorithmic feed affect the spread of health misinformation to a specific user group?

Real-world example: a documented misinformation episode on one platform (e.g. a named vaccine- or diet-misinformation case) · Impacted group: a defined audience reached by the feed · Key concept: change & systems

Platform transparency reports, fact-checkers' findings, and researchers' amplification studies let you weigh how the system's design, not just bad actors, shapes the harm.

mediaalgorithmsperspectives

9 · How does an online community's response to a platform change affect its members' sense of identity and belonging?

Real-world example: a documented platform change and community reaction (e.g. a named Reddit blackout or Twitter/X migration) · Impacted group: members of that community · Key concept: identity & networks

Members' posts, moderators' statements, and press coverage give contrasting perspectives on ownership, governance and what a digital community owes its users.

networksmediaperspectives

10 · How does an influencer-marketing disclosure rule affect young followers of a specific creator?

Real-world example: a documented advertising-standards case against a named creator · Impacted group: that creator's young audience · Key concept: values & ethics

The regulator's ruling, the creator's defence, and consumer-advocacy commentary weigh transparency, trust and the limits of self-regulation.

mediaethicsperspectives

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DIGITAL DIVIDE, RIGHTS & WELLBEING

Access, surveillance and wellbeing land unevenly on real communities — strong territory for weighing impacts and perspectives.

11 · How does a school district's one-to-one device programme affect students without reliable home internet?

Real-world example: a named district's documented 1:1 laptop/tablet rollout · Impacted group: students lacking home connectivity · Key concept: change & power (the digital divide)

District reports, families' accounts, and equity researchers' data weigh the "homework gap" — a clear, evidenced impact on who benefits from the same technology.

dataperspectivesnetworks

12 · How does a fitness-tracking app's data sharing affect the privacy and wellbeing of its users?

Real-world example: a documented health-data sharing case (e.g. a named period-tracker or fitness app) · Impacted group: that app's users · Key concept: values & ethics (privacy)

The company's privacy notice, investigative reporting on data brokers, and users' concerns weigh consent, sensitive data and real-world risk.

dataethicsperspectives

13 · How does a city's facial-recognition deployment affect the privacy and movement of residents in monitored areas?

Real-world example: a named city's documented facial-recognition use or ban debate · Impacted group: residents of the monitored area · Key concept: power & values/ethics

Police/agency justification, residents' and civil-liberties reporting, and accuracy audits give contrasting perspectives on safety versus surveillance.

dataAIperspectives

14 · How does a "right to disconnect" or always-on work culture affect employees at one organisation?

Real-world example: a documented company or national policy on after-hours messaging · Impacted group: employees at that organisation · Key concept: change & wellbeing

The employer's policy, workers' accounts, and occupational-health research weigh how connectivity reshapes the boundary between work and life.

networksperspectivesdata

15 · How does a social-media "time well spent" feature affect the screen-time and wellbeing of teenage users?

Real-world example: a named platform's documented wellbeing/limits feature · Impacted group: teenage users · Key concept: values & ethics (design & attention)

The platform's design claims, leaked internal research, and independent wellbeing studies weigh whether the feature genuinely shifts behaviour or merely reassures.

mediadataperspectives

DIGITAL TECH IN HEALTH, EDUCATION & WORK

When a digital system enters a hospital, classroom or workplace, the impacts on specific people are concrete and documentable.

16 · How does the rollout of a telehealth service affect access to care for patients in one rural community?

Real-world example: a named telehealth programme in a documented rural area · Impacted group: patients in that community · Key concept: change & the digital divide

Health-service data, patients' experiences, and researchers' access findings weigh genuine benefit against the connectivity barrier — a balanced, evidenced impact.

networksdataperspectives

17 · How does an AI-proctoring system affect students' privacy and trust in one school or university?

Real-world example: a named institution's documented remote-proctoring deployment · Impacted group: students sitting remote exams · Key concept: power & values/ethics

The institution's policy, students' petitions, and digital-rights groups' bias findings give a sharp, well-documented conflict over consent and fairness.

AIdataperspectives

18 · How does a gig-economy platform's rating algorithm affect the income and security of its workers in one city?

Real-world example: a documented ride-hail or delivery-platform case in a named city · Impacted group: gig workers on that platform · Key concept: power & values/ethics

Platform policy, drivers' and couriers' accounts, and labour-rights reporting weigh algorithmic management, deactivation and precarity.

algorithmsdataperspectives

19 · How does an e-waste recycling scheme affect the workers and environment of one receiving community?

Real-world example: a documented e-waste destination (e.g. a named site in Ghana or similar) · Impacted group: informal recyclers and residents there · Key concept: environment & power

Exporters' claims, NGO and journalist reporting, and environmental-health studies weigh the global supply chain behind our devices — a strong environmental-context inquiry.

environmentdataperspectives

20 · How does a data centre's expansion affect the water and energy use of one local community?

Real-world example: a named data-centre development and documented local dispute · Impacted group: residents near the site · Key concept: environment & change

Operator commitments, residents' and council reporting, and independent resource-use analyses weigh the physical footprint of the cloud on one community.

environmentdataperspectives

21 · How does a smart-city sensor network affect residents' privacy and participation in one neighbourhood?

Real-world example: a documented smart-city project (e.g. a named Sidewalk Labs-style scheme) · Impacted group: residents of that neighbourhood · Key concept: power & values/ethics

Developer plans, residents' and advocacy responses, and governance scholars' analysis weigh who controls urban data and who is consulted.

datanetworksperspectives

22 · How does a national digital-ID system affect access to public services for one marginalised group?

Real-world example: a documented national digital-ID rollout (e.g. a named scheme such as Aadhaar) · Impacted group: a specific marginalised population · Key concept: power & the digital divide

Government policy, affected communities' testimony, and researchers' exclusion findings weigh inclusion against the risk of locking people out of services.

dataperspectivesethics

23 · How does an educational adaptive-learning platform affect students' learning and data privacy in one classroom?

Real-world example: a named adaptive-learning tool's documented classroom use · Impacted group: students in that class · Key concept: change & values/ethics

The vendor's efficacy claims, teachers' and students' accounts, and ed-tech researchers' privacy findings weigh personalised learning against student-data collection.

dataAIperspectives

24 · How does a contact-tracing or health-pass app affect privacy and access for a specific population?

Real-world example: a named COVID-era contact-tracing or vaccine-pass app's documented rollout · Impacted group: a defined population required to use it · Key concept: values & ethics (privacy vs public good)

Government rationale, civil-liberties and uptake reporting, and security researchers' audits weigh a genuine tension between collective benefit and individual rights.

dataethicsperspectives

From a topic to a top-band inquiry

An idea is the easy part — the marks are in how you investigate it. The Digital Society inquiry project is scored out of 24 across five criteria: A Inquiry focus (/3), B Claims & perspectives (/6), C Analysis & evaluation (/6), D Conclusion (/6) and E Communication (/3) — a ≤1,500-word process document plus a ≤10-minute multimedia presentation, evaluating three contrasting sources. Whichever real-world example you pick, the same moves win: a focused question naming a system, an impact and the people affected; a specific, documented example grounded in referenced sources; the course's concepts, content and contexts used to explain the impacts; more than one perspective weighed fairly; and a balanced evaluation honest about its own limitations.

Build your chosen idea into a full inquiry

The examiner-written Digital Society inquiry frame takes you through every section with the criteria, worked good-and-bad examples and the traps that cost marks. The planning sections are free — unlock impacts & perspectives, analysis, evaluation and limitations to finish the whole inquiry and export it to Word or PDF.

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Digital Society IA ideas — FAQ

What makes a good IB Digital Society inquiry topic?

One specific, real, documented example of a digital system's impact on particular people or a community, framed as a focused "How does … affect …?" question that names a system, an impact and the people affected. It must be investigable with a range of referenced sources and let you apply the course's concepts, content and contexts and weigh more than one perspective. Avoid yes/no questions and general arguments about whether technology is "good" or "bad".

What's the difference between a real-world example and a general topic?

A general topic — "AI and privacy", "social media and society" — has no specific people, place or time and can't be evidenced. A real-world example is one named, dated, documented case: a particular city's predictive-policing rollout, one company's AI hiring tool, one district's proctoring software. The inquiry is judged on how well you investigate that single example with referenced sources, so anchoring every idea to a documented case is what separates a top-band inquiry from an opinion essay.

Can I just copy one of these ideas?

Use them as a launchpad, but make the inquiry your own: pick your own documented example, narrow the question to one community, and gather your own referenced sources. That ownership — a specific case and an evidenced range of perspectives — is exactly what the inquiry focus and analysis criteria reward.

How do I use the course's concepts, content and contexts?

Use the framework to explain the impacts of your example, not just label them. Apply the relevant concepts (values and ethics, power, change, identity, systems), content (data, algorithms, AI, networks, media) and contexts (ethical, social, political, economic, cultural, environmental), each tied to a referenced source. Build it section by section in the free Digital Society inquiry frame — question, example and sources, plan, then impacts, analysis, evaluation and limitations.

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