Course Details

The epistemology of big data in the media society

LE0438

Course
The epistemology of big data in the media society
Code
LE0438
Academic Year
2024/2025
Curriculum Year
2023/2024
Degree Programme
PHILOSOPHY AND COMMUNICATION
Curriculum
000 - 000-GENERICO
Course coordinator
-
Lecturers
Credits
6
Lecture Hours
36
Scientific Disciplinary Sector (SSD)
M-FIL/02 - Logic and Philosophy of Science
Course Type
Single-subject learning activity
Course Delivery
OPZ - Opzionale
Year
2
Teaching period
Secondo Semestre
Campus
VERCELLI
Teaching language
Italian
Course Contents
The course focuses on issues of social and political epistemology in the era of social media. The first part introduces the basic conceptual tools and key issues of social epistemology. The second part uses these tools to analyze phenomena such as fake news, epistemic bubbles, and conspiracy theories, in various ways related to the use of social media. The third part explores the connections between these phenomena and the problems that plague contemporary democracies, such as irrationality and voter polarization.
Reference Texts
The textbooks are the same for both attending and non-attending students:

Various chapters from:

1) Fricker, M., Graham, P., Henderson, D. & N. Pedersen (2019). The Routledge Handbook of Social Epistemology. London: Routledge.

2) Coady, D. & J. Chase (2019). The Routledge Handbook of Applied Epistemology. London: Routledge.

3) Hannon, M. & J. de Ridder (2021). The Routledge Handbook of Political Epistemology. London: Routledge.

The list of chapters for each book is available on DIR.

4) Lecturer's handouts and some additional readings will be available on DIR.
Learning Outcomes
The fundamental educational objective of the course is to know the main themes of contemporary social epistemology, with particular attention to the issues concerning social media and democracy.

A more advanced educational objective is to be able to
argue for or against the theories that will be the subject of the course,
mastering the technical details and indicating their strengths and weaknesses.
Prerequisites
No prior knowledge of the course topics is required. Note that all textbooks are in English.
Teaching Methods
Lectures including some interactive participation.
Additional Information
Students with physical disabilities, learning disabilities or special education needs can request specific services and tools through Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, by consulting the University webpage: https://www.uniupo.it/en/services/services-students-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted Staff di Ateneo, can refer to the course coordinator to define special exam modalities.
Assessment Methods
Oral exam of a maximum duration of 30 minutes aimed at verifying the achievement of the Educational Objectives and the Expected Learning Outcomes. The evaluation will be based for 30% on the learning of the notions covered in the course, for 30% on the autonomy of critical judgment, for 20% on the clarity of exposition and for 20% on the mastery of scientific terminology. For honors, the ability to establish original and rigorous connections between the topics of the course is required
Detailed Syllabus
These are the main topics of the course (we may however deviate slightly
from this program depending on the specific interests of the participating students).

Part I: Social epistemology

1. Introduction to social epistemology

2. The epistemology of testimony

3. The problem of expert reliability

4. Coverage and information relevance

5. Disagreement among peers and among experts

6. Epistemic injustice and feminist epistemologies

Part II: Epistemology of the internet and social media

1. The problem of internet reliability

2. Epistemic bubbles and echo chambers

3. Fake news

4. Conspiracy theories

Part III: Epistemology and democracy

1. Political disagreement and polarisation

2. Ignorance and irrationality in politics

3. Democracy, epistocracy and lottocracy
Expected Learning Outcomes
At the basic level, the expected learning outcomes are the following:

(1. Knowledge and understanding) familiarity with the key notions and
arguments of social and political epistemology in the social media era;

(2. Applied knowledge and understanding) identification of the
strengths and weaknesses of the theories and arguments proposed;

(3. Autonomy of judgment) development of reasoned opinions on the course topics;

(4. Communication skills) ability to clearly illustrate the main
lines of contemporary debate;

(5. Learning skills) independent exploration of basic themes
of research in social and political epistemology in the social media era.

At the advanced level, the expected learning outcomes are the following:

(1. Knowledge and understanding) knowledge and understanding
of the technical details of social and political epistemology in the social media era;

(2. Applied knowledge and understanding) ability to evaluate the effectiveness
of technical details in the analysis of the main questions posed by social and political epistemology in the era of social media;

(3. Autonomy of judgment) ability to use advanced technical notions in developing reasoned opinions on the topics of the course;

(4. Communication skills) ability to clearly illustrate the
technical details even to those who are not familiar with social and political epistemology in the era of social media;

(5. Learning ability) ability to independently explore some technical aspects of the contemporary debate.
Last update:09-09-2026 00:14:31