Information Package / Course Catalogue
Digital Politics and Public Opinion
Course Code: MİÇ671
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: None
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

This course aims to examine the impact of the media ecosystem, transformed by the digitalization process, on the political sphere. The effects of the transition from traditional mass media to platform-based communication structures on political participation, public opinion formation, leadership practices, ideological production processes, and democratic mechanisms will be evaluated from a critical perspective. Within the scope of the course, it is intended for students to gain the ability to analyze political communication environments shaped by new media technologies at both theoretical and practical levels.

Course Content

This course addresses the contemporary transformation of media studies on the axis of platformization, algorithmic governance, and digital political communication. In the first section, basic theoretical approaches such as the transformation of media systems, network society, and platform capitalism are examined. Following this, the effects of social media platforms on the public sphere, data economy, algorithmic visibility, and digital surveillance mechanisms are discussed. In the subsequent sections of the course, new generation political actors, influencer politics, digital campaigns, micro-targeting techniques, disinformation, AI-driven propaganda, and electoral processes are analyzed. Furthermore, academic evaluations are made on young voter behaviors, digital activism, cultural polarization, the ideological functions of platforms, and future models of political communication.

Name of Lecturer(s)
Learning Outcomes
1.Analyzes the effects of platform-based media systems on political communication within a theoretical framework.
2.Evaluates public opinion formation and political participation processes in digital media environments.
3.Explains the role of algorithms, data economy, and artificial intelligence applications in political processes.
4.Examines new generation political actors, digital campaigns, and platform strategies comparatively
5.Interprets the transforming relationship between media, technology, and politics from a critical and interdisciplinary perspective.
Recommended or Required Reading
1.José van Dijck, Thomas Poell, Martijn de Waal – The Platform Society: Public Values in a Connective World
2.Andrew Chadwick – The Hybrid Media System: Politics and Power
3.Zeynep Tufekci – Twitter and Tear Gas: The Power and Fragility of Networked Protest
4.Shoshana Zuboff – The Age of Surveillance Capitalism
5.Mutlu Binark (Ed.) – Dijital Çağda İletişim
6.Mutlu Binark (Ed.) – Yeni Medya Çalışmaları
7.Ali Murat Vural – Siyasal İletişim
8.Manuel Castells – Communication Power
9.Manuel Castells – Networks of Outrage and Hope
Weekly Detailed Course Contents
Week 1 - Theoretical
The Concept of New Generation Politics and the Transformation of Media
Week 2 - Theoretical
Network Society, Digitalization, and Platform Capitalism
Week 3 - Theoretical
Political Economy of Platforms
Week 4 - Theoretical
Digitalization of the Public Sphere and Algorithmic Publicness
Week 5 - Theoretical
Social Media Platforms and Political Participation
Week 6 - Theoretical
Data, Surveillance, and Behavioral Modification
Week 7 - Theoretical
Micro-targeting and Digital Election Campaigns
Week 8 - Intermediate Exam
Midterm Exam
Week 9 - Theoretical
Influencer Politics and New Political Actors
Week 10 - Theoretical
Disinformation, Post-Truth, and Perception Management
Week 11 - Theoretical
Artificial Intelligence, Deepfake Technologies, and Political Communication
Week 12 - Theoretical
Young Voters, Digital Culture, and Political Identities
Week 13 - Theoretical
Platforms, Ideology, and Cultural Polarization
Week 14 - Theoretical
The Future of Media and the Direction of New Generation Politics
Week 15 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Term Assignment1%20
Project1%40
Midterm Examination1%20
Final Examination1%20
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Term Project110212
Project120222
Reading43116
Final Examination1415
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
5
3
2
3
3
2
3
2
OÇ-2
3
4
4
3
3
3
3
3
OÇ-3
3
4
3
4
4
4
3
2
OÇ-4
3
4
3
4
4
3
4
3
OÇ-5
4
5
3
5
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026