Topic Algorithmic Persuasion in the Digital Society
Universiteit van Amsterdam (UvA)
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Resumen
Topic Algorithmic Persuasion in the Digital Society summary - all lectures and articles
Written in English - Summary of all lectures and articles (Week 1-8) of the course Topic Algorithmic Persuasion in the Digital Society.
Notas de lectura
Topic Algorithmic Persuasion in the Digital Society
PopularThis is a resume of the lectures for the course "Topic Algorithmic Persuasion in the Digital Society" for the school year 2023/2024. 
It has all the important models and theroies discussed in the lectures and in the texts :)
Notas de lectura
Premium Study Notes: Digital Society & Algorithmic Persuasion
These comprehensive notes reveal how tech giants manipulate what you see, buy, and believe. Learn the psychology behind personalized ads, political microtargeting tactics that swing elections, and why search results can shift voting preferences by 20%. 
What you'll get: Complete frameworks for algorithmic persuasion, real manipulation case studies, deepfake detection strategies, and the hidden bias in AI systems. From Instagram's feed algorithm to political bot networks, understand the mec...
Resumen
Algorithmic Persuasion in the Digital Society Lecture Notes
This is a summary of the lecture slides used for Topic Algorithmic Persuasion in the Digital Society Lecture at the University of Amsterdam
Notas de lectura
Topic: Algorithmic Persuasion in the Digital Society - lecture's note
Topic: Algorithmic Persuasion in the Digital Society - lecture's note include topic: online advertising, political communication, health communication, online news, privacy and ethical consideration, future of algorithms
Resumen
Topic algorithmic persuasion summary
The summary is organized by week and articles. Very broad summary of the topic. I made the exam in April of 2023 so all the topics are very recent. I had a 8,5
Resumen
Summary for 'Algorithmic persuasion' and its readings - exam grade: 8.8
This contains the summary of the gazilion readings for UvA course 'Algorithmic persuasion' and notes. Readings a.o. include those of Boerman, Zarouali, Matz, Segijn, etc. Everything is organized according to weeks (W1-8), with headers and subheaders. 
Exam grade: 8.8
Resumen
Algorithmic Persuasion Summary
Algorthmic persuasion topic summary - Summary of all the readings 
Exam grade: 8.6
Notas de lectura
Topic Algorithmic Persuasion in the Digital Society - Class notes
Here are the notes I took for every lecture during the course. Most of them I saw twice, so they should be the most complete I was able to do.
Notas de lectura
TOPIC ALGORITHMIC PERSUASION IN THE DIGITAL SOCIETY ALLE COLLEGES SAMENGEVAT
Hele duidelijke en uitgebreide samenvatting van alle colleges van de Topic Algorithmic Persuasion in the Digital Society.
Notas de lectura
Topic Algorithmic Persuasion In The Digital Society Notes
These are my notes for Algorithmic Persuasion that I used to study for the exam. I got a 8.5 :)
Resumen
Alle Tentamenstof Topic Algorithmic Persuasion in the Digital Society
Dit is een uitgebreide samenvatting van alle tentamenstof voor Topic Algorithmic Persuasion in the Digital Society. Zowel de hoorcolleges als de literatuur zijn in deze samenvatting verwerkt. Dankzij deze samenvatting en mijn andere document 'Begrippenlijst Topic Algorithmic Persuasion in the Digital Society' heb ik dit tentamen met een 8.2 kunnen behalen.
Lote
Alle Tentamenstof + Begrippenlijst Topic Algorithmic Persuasion in the Digital Society
Dit is een uitgebreide samenvatting van alle tentamenstof voor Topic Algorithmic Persuasion in the Digital Society en een begrippenlijst die aan de hand van de begrippen een handig en compacter overzicht geeft van alles wat je moet leren voor het tentamen. Dankzij deze samenvattingen heb ik dit tentamen met een 8.2 kunnen behalen.
Resumen
Summary Topic Algorithmic Persuasion in the Digital Society (2020)
Summary of the Topic 'Algorithmic Persuasion in the Digital Society' (University of Amsterdam) March 2020. It consists of a summary of all the required articles, supplemented with notes of the seven lectures.