IB Digital Society SL common mistakes
IB Digital Society SL · Understand the traps and how to avoid them.
Answers an 'analyse' question by listing platforms, features, or definitions instead of tracing a societal effect. For example, a response on social media and identity names Instagram, TikTok, and filters but never explains how recommendation or visibility changes self-presentation for a named group.
Candidates revise definitions and examples, then treat the command term as 'say what you know'. Under time pressure, listing feels safer than committing to a causal chain.
What to do instead
Before writing, convert the command term into a required sentence: 'This matters because [mechanism] leads to [effect] for [group], which shows [concept].' Use one named context and one mechanism per paragraph.
Uses 'data', 'information', 'knowledge', and 'wisdom' interchangeably, such as calling a raw database table 'information' or saying an algorithm 'knows' something without explaining the transformation.
Everyday language blurs the distinctions, and revision cards often test the terms separately rather than inside a working system.
What to do instead
Apply a four-step chain to one concrete system: raw data captured → processed into information → interpreted by a person or model into knowledge → used for a judgement. Label each step explicitly in the answer.
Treats 'innovation' as a synonym for 'invention' or 'new technology', so an answer about a new payment app describes its features but ignores adoption, diffusion, business-model change, or who was displaced.
Media coverage frames new products as innovations by default, and candidates repeat launch language rather than analysing implementation and uptake.
What to do instead
For every innovation example, state the invention, the innovation (what was successfully adopted and how), the adopters and non-adopters, and one barrier or loser. If adoption is absent, call it an invention, not an innovation.
Makes a sweeping claim such as 'technology destroys privacy' without a mechanism, scope, or counterargument, and does not say which group or setting is affected.
Candidates want to show a strong opinion and mistake breadth for analysis; they also run out of time and compress the evaluation into a slogan.
What to do instead
Use a five-part structure: claim → mechanism → evidence from one named context → counterpoint → qualified judgement. Scope the claim to a group, place, and time period.
Describes 'the cloud' as 'the internet' or as 'wireless computing', and cannot say where processing, storage, or jurisdiction actually sit.
Cloud is marketed as placeless and invisible; candidates repeat the metaphor instead of tracing infrastructure.
What to do instead
Draw a request path for one service: device → local network → ISP → DNS → data centre → return path. Mark which parts are hardware, protocols, and jurisdiction, then use that path in the answer.
Presents every innovation as successful and progressive, omitting failed products, lock-in, switching costs, or rebound effects such as efficiency gains being offset by higher consumption.
Techno-solutionist narratives dominate school and media examples; failure cases are less familiar and feel risky to write about.
What to do instead
Prepare two contrasting cases: one widely adopted innovation and one failed or contested one. For each, identify adoption barriers, incumbent response, and at least one unintended consequence.
Names a stakeholder such as 'users' or 'governments' but never states what that stakeholder values, gains, loses, or can do in the specific system.
Stakeholder lists are easy to memorise, and candidates confuse naming a group with analysing its position.
What to do instead
For each stakeholder, write a three-part note: interest (what they value), power (what they can do), and risk (what they lose). Then connect at least two stakeholders in a conflict or trade-off.
Uses 'algorithm', 'AI model', and 'automated decision system' as if they were the same thing, or says an algorithm 'decides' without identifying the data, model, threshold, and human or institutional actor.
Public discussion collapses a technical pipeline into one word, and candidates have not practised separating the components.
What to do instead
Describe a decision pipeline: input data → model or rule → threshold or output → human review or action → appeal route. Use the correct term at each stage and state where bias or error can enter.
Uses 'digital divide' to mean only 'some people lack devices', ignoring skills, affordability, connectivity quality, accessibility, and differences in outcomes among groups.
The phrase is familiar, so candidates stop at the most visible layer and do not distinguish access from use and benefit.
What to do instead
Analyse the divide in three layers: access (device, connection, cost), skills and accessibility (training, language, disability support), and outcomes (employment, education, civic participation). Give one example per layer.
Writes an extended-response conclusion that repeats both sides and ends with 'it depends' or 'there are advantages and disadvantages', without a defensible judgement tied to the evidence given.
Candidates confuse balance with neutrality and fear that a clear judgement will lose marks if the examiner disagrees.
What to do instead
End with a conditional judgement: 'Overall, X is more significant than Y in this context because [criterion], although it would change if [condition].' Tie the criterion to a named stakeholder or course concept.