Information Package / Course Catalogue
Corporate Communication in Platform Communities
Course Code: MİÇ646
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

The aim of this course is to examine, at the doctoral level, how corporate communication processes are transformed through digital platforms, algorithmic visibility, data-driven communication management, and artificial intelligence-supported practices in platform society. The course aims to enable students to critically evaluate corporate communication, digital reputation, crisis communication, stakeholder relations, platform capitalism, algorithmic management, and data ethics.

Course Content

This course covers platform society, platform capitalism, the platformization of corporate communication, algorithmic visibility, digital reputation management, data-driven stakeholder management, social listening, AI-supported corporate communication, online crises, digital boycotts, corporate trust, transparency, accountability, algorithmic bias, and data ethics. Through contemporary case analyses, the course discusses the impact of platforms on institutional visibility, reputation, and communication strategies.

Name of Lecturer(s)
Learning Outcomes
1.Explain the concept of platform society within the context of communication studies.
2.Analyze the transformative effects of digital platforms on corporate communication processes.
3.Evaluate the relationship between algorithmic visibility and digital reputation management.
4.Interpret platform-based crises from the perspective of corporate communication.
5.Discuss the ethical, political, and social dimensions of data-driven communication management.
6.Critically evaluate AI-supported corporate communication practices.
7.Develop an original doctoral research proposal or article draft within the context of platform society.
Recommended or Required Reading
1.Van Dijck, J., Poell, T., & de Waal, M. The Platform Society: Public Values in a Connective World. Oxford University Press.
2.Srnicek, N. Platform Capitalism. Polity Press.
3.Gillespie, T. Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media. Yale University Press.
4.Couldry, N., & Mejias, U. A. The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism. Stanford University Press.
5.Zuboff, S. The Age of Surveillance Capitalism. PublicAffairs.
6.Coombs, W. T. Ongoing Crisis Communication: Planning, Managing, and Responding. SAGE.
7.Cornelissen, J. Corporate Communication: A Guide to Theory and Practice. SAGE.
8.Fuchs, C. Social Media: A Critical Introduction. SAGE.
9.Bucher, T. If...Then: Algorithmic Power and Politics. Oxford University Press.
10.Kitchin, R. The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. SAGE.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to the concept of platform society
Week 2 - Theoretical
Platform capitalism and the digital media ecosystem
Week 3 - Theoretical
Platformization of corporate communication
Week 4 - Theoretical
Algorithmic visibility and corporate visibility management
Week 5 - Theoretical
Digital reputation management and online stakeholder relations
Week 6 - Theoretical
Data-driven communication management and social listening
Week 7 - Theoretical
AI-powered corporate communication applications
Week 8 - Intermediate Exam
Midterm evaluation / student presentations
Week 9 - Theoretical
Crisis communication on platforms and online reputation crises
Week 10 - Theoretical
Digital boycotts, cancel culture, and stakeholder pressure
Week 11 - Theoretical
Algorithmic bias, discrimination, and corporate responsibility
Week 12 - Theoretical
Transparency, accountability, and corporate trust
Week 13 - Theoretical
Ethics and data privacy in the platform society
Week 14 - Theoretical
Contemporary case studies
Assessment Methods and Criteria
Type of AssessmentCountPercent
Project1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Project115116
Reading43116
Final Examination122123
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
4
3
2
2
2
OÇ-2
4
4
3
4
4
3
3
3
OÇ-3
3
5
3
3
4
3
4
3
OÇ-4
3
4
4
3
4
4
4
4
OÇ-5
3
4
4
4
5
5
4
4
OÇ-6
2
5
3
4
4
4
4
3
OÇ-7
4
4
3
4
5
4
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026