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Summary Lecture Notes Digital Media & Technology | KU Leuven | 2025/26

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Lecture notes for Digital Media & Technology at KU Leuven's Bachelor Communicatiewetenschappen programme (2026/27). Content covers three main units: introduction to digital media and infrastructures, making sense of big data with real-world case studies, and algorithms in society including recommender systems, algorithmic bias, and their impact on online news curation. These structured notes include key concepts, article summaries, and practical examples like Facebook data and political election case studies, making them ideal for understanding core topics and preparing for exams.

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Les 1: Introduction to digital media & technology.........................................................6
Introduction to digital media and technologies (Art. 1)..............................................6
Digital media & technology.....................................................................................6
The digital environment..........................................................................................6
New and old media..................................................................................................6
Features of digital media.........................................................................................7
Digital infrastructures..............................................................................................8
Technology and society...........................................................................................8
A day in the life with digital media (Art. 2).................................................................8
Introduction.............................................................................................................8
Meaningful and mundane........................................................................................8
Media use................................................................................................................8
Conclusion...............................................................................................................9
Les 2: Making sense of big data.....................................................................................9
Making sense of big data (Art. 3)................................................................................9
Introduction.............................................................................................................9
Big data...................................................................................................................9
Different purposes.................................................................................................10
Ten common characteristics of big data...............................................................10
Example: Facebook Data.......................................................................................11
Big data: case studies (Art. 4)..................................................................................12
Introduction...........................................................................................................12
Political elections...................................................................................................12
Weather.................................................................................................................12
GDP........................................................................................................................13
Conditions for big data predictive success............................................................13
Conclusion.............................................................................................................13
Les 3: Algorithms in the world.....................................................................................14
Introduction to algorithms........................................................................................14
Defining algorithms...............................................................................................14
Algorithmic techniques..........................................................................................15
Types of algorithms...............................................................................................15
The degree of automation.....................................................................................15
Recommender systems.........................................................................................16
Recommender system techniques........................................................................16
Algorithmic bias........................................................................................................16
Algorithmic perceptions............................................................................................16
How people perceive algorithms...........................................................................16

, Algorithmic appreciation.......................................................................................17
Algorithmic aversion..............................................................................................17
Misconceptions about algorithms (Art. 5).................................................................17
Introduction...........................................................................................................17
Literature...............................................................................................................17
Algorithmic misconceptions..................................................................................17
Research questions...............................................................................................18
Results...................................................................................................................18
Algorithms and online news: algorithmic values (Art. 6)..........................................19
Introduction and background................................................................................19
Algorithmic curation..............................................................................................19
Algorithmic values.................................................................................................19
Research question.................................................................................................20
Results...................................................................................................................20
Les 4: Deepfakes & disinformation..............................................................................20
Introduction to deepfakes.........................................................................................20
Deepfakes: societal benefits and costs.................................................................21
Deep fakes, fake news and what comes next (Art. 7)..............................................21
Background...........................................................................................................21
Information warfare and deepfakes......................................................................22
The publicity problem............................................................................................22
The ultimate attribution error................................................................................22
Solutions to the coming deep fake wave...............................................................23
Conclusion.............................................................................................................23
The deceptiveness of deepfakes (Art. 8)..................................................................24
The rise of deepfakes............................................................................................24
The renewed power of visual communication.......................................................24
Political deepfakes as a distinctive form of visual disinformation.........................24
Deepfakes, uncertainty and trust..........................................................................24
Conclusion.............................................................................................................25
Les 5: Automated bots.................................................................................................26
Introduction to automated bots................................................................................26
What are automated bots.....................................................................................26
Political bots on social media................................................................................26
How do political bots work.....................................................................................26
The tactics of political bots during elections.........................................................26
Brexit Campaign....................................................................................................27
Which tactics do political bots use? (Art. 9).............................................................27

, Introduction...........................................................................................................27
Political bots, trolls and cyber troops....................................................................27
Computational propaganda...................................................................................28
Political bots & the public sphere..........................................................................28
Political bots’ interaction & messaging tactics......................................................28
Bots’ targeting of the immigration debate............................................................28
Results: general insights.......................................................................................29
Results...................................................................................................................29
Discussion..............................................................................................................29
Robot journalism (news bots)...................................................................................29
Robot journalism....................................................................................................29
Advantages of robot journalism............................................................................30
Critics fear…..........................................................................................................30
The credibility of robot journalism (Art. 10)..............................................................30
introduction...........................................................................................................30
Results...................................................................................................................30
Discussion..............................................................................................................31
Les 6: Virtual & augmented reality..............................................................................32
Introduction to AR & VR (Art. 11)..............................................................................32
Introduction...........................................................................................................32
Augmented reality (AR).........................................................................................32
Technological background of AR...........................................................................33
Virtual reality.........................................................................................................33
Immersion & presence...........................................................................................33
Types of VR systems.............................................................................................34
Travel experiences with VR...................................................................................34
The metaverse era?..................................................................................................34
AR filters on social media (Art. 12)...........................................................................34
Introduction...........................................................................................................34
Self-concept and self-discrepancy theory.............................................................35
Augmented reality.................................................................................................35
AR and self-concept...............................................................................................35
Higher ideal standard for attractiveness and increase in ideal-actual gap...........35
Social comparison, leading to broadening ideal-actual gap..................................36
The dark side of broadening the ideal-actual gap.................................................36
Reducing the gap by creative use of AR filters.....................................................36
Ideal-actual gap and feelings of well-being...........................................................36
Les 7: Large Language Models....................................................................................37

, Introduction to LLMs.................................................................................................37
What are LLMs.......................................................................................................37
Training an LLM.....................................................................................................37
Where LLMs are used in today..............................................................................38
Uprising of the machines.......................................................................................38
Greatest strength = weakness..............................................................................38
Can people distinguish between human and AI (Art. 13).........................................39
Humans vs machines.............................................................................................39
Study.....................................................................................................................39
Discussion..............................................................................................................39
Recap.....................................................................................................................40
Key concepts: persuasion research.......................................................................40
Can LLMs persuade................................................................................................40
LLM persuasion in practice....................................................................................40
Caste study: LLMs and advertising........................................................................41
LLMs: the future of advertising..............................................................................41
Towards hypertargeted advertising......................................................................41
Optimising for persuasiveness..............................................................................41
Persuasive chatbots for everyone.........................................................................42
LLMs: The good, the bad and the ugly..................................................................42
LLMs & communication science: Emerging Perspectives.........................................42
AI & communication..............................................................................................42
Human-machine communication...........................................................................42
A HMC research agenda........................................................................................42
Talking to the clouds.............................................................................................43
Traditional models: Schramm ‘54..........................................................................43
LLMs as opportunity..............................................................................................43
Wrap up.................................................................................................................44
Les 8: Chatbots & Virtual assistants............................................................................44
Introduction to chatbots...........................................................................................44
Conversational agents...........................................................................................44
How do chatbots work?.........................................................................................44
The strategic opportunities...................................................................................44
When are chatbots effective tools for companies (Art. 15)......................................45
Introduction...........................................................................................................45
Theoretical framework...........................................................................................45
Study.....................................................................................................................45
Results...................................................................................................................45

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