Social Implications Grade 12
How Big Data, data warehousing, globalisation and the 4IR affect society — privacy, employment, social media and the evolution of the web.
Social implications are revisited every term rather than taught once. The sections below are grouped by the term where each topic is introduced on the Year Planner — but all of it stays examinable afterwards. A few sections (globalisation, decision-making systems, protecting your identity) don't map to a single Year Planner bullet, so they are grouped with the closest related term.
Social Implications of Big Data & Data Mining
Big Data is the term for datasets so enormous, fast-moving and varied that ordinary database tools cannot store or process them — think of every Facebook post, every WhatsApp message and every e-toll swipe in the country, all at once. When companies and governments mine this Big Data, the results affect real people's lives, and that brings both wonderful benefits and serious dangers.
Why Should We Care?
The same data that lets a hospital predict and prevent illness can also let an insurance company refuse you cover because your shopping habits suggest you eat unhealthily. The technology is neutral — it is how the data is used that creates the social problem. As IT students you must be able to argue both sides.
| Positive | Negative |
|---|---|
| Healthcare: predict and prevent illness | Privacy erosion — habits tracked without full consent |
| Fraud detection in banking | Discrimination based on data profiles |
| Personalised education programmes | Security breaches expose millions of records |
| Better government services | Data sold to third parties without user knowledge |
| Precision agriculture: monitoring soil, weather and crop data to improve yields (e.g. a Free State maize farmer using sensor data to decide when to irrigate) | Small-scale farmers without access to this technology fall further behind larger commercial operations |
Globalisation and the 4IR
| Aspect | Effect |
|---|---|
| Globalisation | World interconnected economically and culturally; faster trade; outsourcing; cultural exchange; increased competition |
| 4IR technologies | AI, machine learning, IoT, robotics, automation, biotechnology, AR/VR, Big Data |
| Jobs | Routine jobs replaced by machines; new careers in data science, AI, cybersecurity |
| Workers | Must reskill constantly; digital literacy essential |
Internet of Things (IoT)
IoT refers to everyday physical devices — not just computers and phones — that are connected to the Internet so they can collect data, exchange it with other devices, and be monitored or controlled remotely. Examples include smart plugs, smart thermostats, security cameras, fitness trackers, smart fridges and smart streetlights.
A full-mark IoT definition needs TWO parts: (1) the device is connected to the Internet, and (2) it collects/exchanges data or can be controlled remotely. "It's smart devices" on its own won't get full marks — the data/connectivity part is what the marker is looking for.
IoT links to several other Social Implications themes: privacy (data collected without the user's full awareness), security (each connected device is a potential entry point for attackers — see Botnets on the Cybercrime & Safeguards page), and the digital divide (IoT devices, and the Internet access they need, aren't affordable for everyone).
Decision-making & Knowledge Systems
As the amount of data in the world explodes, organisations increasingly rely on software not just to store data, but to help people make decisions with it. Two related kinds of system come up in the exam, and they are easy to confuse.
| System | What it does | Example |
|---|---|---|
| Decision Support System (DSS) | Analyses large amounts of data and presents it in a useful way (summaries, graphs, "what-if" models) so that a human can make a better-informed decision. It supports the decision — it does not make it. | A retail manager using sales dashboards to decide which stores to stock for winter |
| Expert / knowledge-based system | Captures the knowledge of human experts as a knowledge base of facts plus a set of rules (an inference engine), then uses them to give advice or a diagnosis — mimicking how an expert reasons. | A medical system that suggests likely diagnoses from a patient's symptoms |
A DSS hands the data to a person to decide; an expert system tries to reach the conclusion itself using stored expert knowledge. Both rely on good-quality data — "garbage in, garbage out".
Computer Management (Gr 12)
Key factors affecting computer performance and maintenance:
- Software: outdated software causes security risks and slower performance
- Security: antivirus, firewall, strong passwords
- Housekeeping: disk cleanup, defragmentation, archiving, compression
- Hard drive space: insufficient space causes performance issues (virtual memory relies on it)
- Corrupt files: use Disk Check (chkdsk) to detect and fix file-system errors; use S.M.A.R.T. to monitor drive health and predict failure before it happens
Distributed Computing Power — Solving Global Problems
Some problems are too big for any single computer — modelling climate change, searching for new medicines, or analysing astronomical data. Distributed computing splits one enormous task into many small pieces and shares them across thousands of computers (or cloud servers) that work on them at the same time, then combines the results.
- How it helps: harnesses spare processing power worldwide to tackle scientific and humanitarian problems no single organisation could afford alone.
- Examples: volunteer/grid projects where the public donate idle CPU time to disease, climate or space research; large cloud platforms renting out combined power on demand.
- Trade-offs: needs reliable network connectivity, raises questions about who controls the data, and the combined energy use can be significant.
The Evolving Web (Web 1.0 → 2.0 → 3.0)
The World Wide Web has moved through three broad phases, each more interactive and intelligent than the last:
| Phase | Nickname | What it was like |
|---|---|---|
| Web 1.0 | "Read-only" | Mostly static pages you could only view. A few people published; everyone else just consumed content. |
| Web 2.0 | "Read-write" | The interactive, social web: users create the content — social media, wikis, blogs, comments and sharing. Two-way participation. |
| Web 3.0 | "Semantic / intelligent web" | Machines understand the meaning of data (the semantic web); content is linked, personalised and AI-driven, giving smarter, more relevant results. |
Evolution of Social Media and its Effects
- Information overload: constant exposure to content makes it hard to focus or verify facts
- Personal data exposure: users voluntarily share location, habits, preferences
- Social engineering: attackers use social platforms to manipulate users into revealing information
- Wikis: collaborative knowledge (e.g. Wikipedia) — useful but reliability varies
- Cultural effects: global connectivity promotes exchange but can dilute local traditions
Smart-Home Technology and Accessibility
Smart-home and AI-driven devices can make a real difference for elderly or disabled users specifically because they remove the need to physically move around the house:
- Independence: voice-controlled or app-controlled lights, door locks and appliances mean a user with limited mobility doesn't need to get up, walk to a switch, or manipulate a small physical lock.
- Safety: smart security cameras and sensors can alert family or caregivers automatically if something seems wrong (e.g. a fall, or a door left unlocked), without the user having to act.
- Automation: routines — like lights switching on automatically at dusk, or the temperature adjusting itself — reduce the number of daily tasks a user has to perform manually.
Cost is a real limiting factor here: these devices are usually expensive to buy, and need a reliable, paid Internet connection to keep working — which links this topic back to the digital divide (see that section).
Privacy and Information Sharing
| Concept | Privacy implication |
|---|---|
| Cookies | Track browsing behaviour; can be used for targeted advertising |
| Anonymity | Enables free expression; also enables cyberbullying and illegal activity |
| GUIDs | Globally Unique Identifiers track behaviour across websites and apps |
| Location data | Apps continuously track movement; risk of stalking and profiling |
| File sharing | Piracy is illegal and harms creators; but sharing also enables legal distribution |
POPIA — Protection of Personal Information Act
POPIA is South Africa's law that controls how organisations may collect, store, use and share a person's personal information. It came into full effect on 1 July 2020, and it protects any person whose personal information is processed by a South African organisation (or a foreign one doing business here).
"Personal information" includes: name, ID number, contact details, email, location, financial information, biometric data (fingerprints, face scans), and special categories like health, religion or race.
Organisations must: get the person's consent (or another lawful reason) before collecting data; only collect what is necessary, and only use it for the stated purpose; keep the data accurate and up to date; secure it against loss, damage or unauthorised access; let people see, correct or request deletion of their own data; and report data breaches to both the Information Regulator and the affected people.
Who enforces it: the Information Regulator — an independent body that can investigate complaints and issue fines (up to R10 million) or, for serious violations, prison sentences.
POPIA questions usually ask you to (a) name the act, or (b) apply it to a scenario — e.g. explain why a company storing customer emails and addresses without consent, or without securing that data, would be in breach of POPIA.
Protecting Your Online Identity
- Use strong, unique passwords for every account
- Enable Two-Factor Authentication (2FA)
- Avoid posting sensitive personal information publicly
- Verify links before clicking — beware of phishing
- Keep software and antivirus updated
- Only connect to trusted Wi-Fi networks
- Periodically search your own name to see your digital footprint