DGB 3: Personalised Search Routines
Search results are not always identical for every user. Search history, location, language, account data, previous behaviour and algorithmic models can influence which results are displayed and in which order. Personalisation can be useful, but it also raises questions about privacy, bias, diversity and information power.
Curriculum reference
[Bearbeiten]| Area | Classification |
|---|---|
| Competence area | Information |
| Perspectives | G, I |
| Focus | Personalised search routines in one's own life and in society |
| Competence | Explain the conditions, benefits and disadvantages of personalised search routines for one's own life and for society. |
Learning objectives
[Bearbeiten]Students can:
- explain personalised search routines;
- describe data aggregation, user profiles and algorithmic selection as conditions for personalisation;
- name benefits such as relevance and faster orientation;
- explain disadvantages such as filter bubbles, bias and privacy problems;
- reflect on possible effects on society and opinion formation;
- compare search results from different contexts;
- deliberately create source diversity;
- use search settings and alternative strategies to reduce overdependence on personalisation.
Learning content
[Bearbeiten]What personalised search routines are
[Bearbeiten]Personalised search adapts results or their order to signals associated with a user, device or context. The exact mechanisms vary by service and are not always fully visible to users.
Conditions for personalisation
[Bearbeiten]Search history, account activity, language, location, cookies and other signals may contribute to a profile. Machine-learning systems can use such data to estimate which results are likely to be relevant.
Benefits in everyday life
[Bearbeiten]Personalisation can save time, surface locally relevant information and adapt results to repeated interests. These benefits are most useful when the user still understands how to search beyond the personalised view.
Disadvantages in everyday life
[Bearbeiten]Privacy concerns arise when extensive data is collected. Results may also reinforce previous interests, misinterpret a user's intention or make commercial priorities less visible.
Effects on society
[Bearbeiten]If groups repeatedly receive different information environments, shared public discussion can become more difficult. Concentrated control over search and recommendation systems also raises questions of information power.
Comparing personalised results
[Bearbeiten]Differences between results do not automatically prove manipulation. A sound comparison documents query, time, location/context and visible ranking differences before drawing conclusions.
Strategies for conscious searching
[Bearbeiten]Use precise search terms, compare several sources, try alternative search services or logged-out contexts where appropriate, and check privacy settings. The goal is not to eliminate personalisation completely but to understand and control it better.
Classroom activities
[Bearbeiten]Compare search results
[Bearbeiten]Use the same neutral query in two suitable contexts and document similarities and differences.
Expected outcome: A careful comparison without overclaiming causes.
Identify personalisation conditions
[Bearbeiten]Map which data or settings could influence a search service.
Expected outcome: A condition diagram.
Weigh benefits and drawbacks
[Bearbeiten]Evaluate relevance, speed, privacy, diversity and commercial influence.
Expected outcome: A balanced matrix.
Document search habits
[Bearbeiten]Record types of searches and strategies without storing sensitive queries.
Expected outcome: A privacy-conscious search log.
Check source diversity
[Bearbeiten]For one topic, deliberately collect sources from different organisations and perspectives.
Expected outcome: A diverse source set.
Discuss social consequences
[Bearbeiten]Analyse how personalised search could affect public debate, advertising or access to information.
Expected outcome: A reasoned discussion.
Take stakeholder perspectives
[Bearbeiten]Compare user, search-provider, advertiser and public-interest viewpoints.
Expected outcome: A perspective map.
Broaden search strategies
[Bearbeiten]Rewrite one search task using synonyms, operators and different source types.
Expected outcome: An improved search plan.
Reflect on control
[Bearbeiten]Explain which parts of personalisation users can influence and which remain outside their control.
Expected outcome: A short reflection.
Self-check
[Bearbeiten]- I can explain how search results may become personalised.
- I can identify important data and algorithmic conditions.
- I can name benefits and disadvantages.
- I can compare search contexts carefully.
- I can deliberately broaden my sources.
- I can use settings and search strategies more consciously.