Artificial Intelligence In Communication Studies
Public Relations and Publicity
Institute of Social Sciences
Third Cycle (Doctorate Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Artificial Intelligence In Communication Studies | HIT123 | Elective | Doctorate degree | 1 | Fall | 5 |
Name of Lecturer(s)
Associate Prof. Dr. Banu KÜÇÜKSARAÇ
Learning Outcomes of the Course Unit
1) Evaluates the theoretical foundations of artificial intelligence technologies within the framework of academic literature.
2) Analyzes the role of artificial intelligence in communication and public relations research.
3) Implements literature review by following the developments in the field of artificial intelligence.
4) Prepares an academic research on the use of artificial intelligence in communication studies
5) Evaluates the ethical and social dimensions of artificial intelligence technologies within the framework of academic literature.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | Middle | Low | Low | Low | Low | Low | Low | |
| 2 | Middle | Middle | Middle | Middle | Middle | Low | Low | |
| 3 | Middle | Middle | Low | Middle | Low | Low | Low | |
| 4 | Middle | No relation | High | Middle | Middle | Middle | Middle | |
| 5 | Middle | Middle | Middle | Middle | Middle | Low | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Public Relations Planning and Management
Course Contents
Within the scope of this course, the use of new communication technologies and artificial intelligence applications in the field of communication studies will be analyzed. In this context, within the scope of the course, the use of artificial intelligence-based technologies and applications such as artificial intelligence, big data, chatbot, internet of things, augmented reality, virtual reality and extended reality within communication and its sub-branches will be examined through academic literature and scientific research.
Weekly Schedule
1) Artificial intelligence and theoretical framework (Turing, McCarthy)2) Artificial intelligence and theoretical framework (Minksy, Simon)
3) Artificial intelligence and theoretical framework (Newell, Hinton)
4) Artificial Intelligence Algorithms and Machine Learning: Basic Concepts and Functioning
5) Affirmative paradigm-current debates on artificial intelligence and new communication technologies
6) Critical paradigm-current debates on artificial intelligence and new communication technologies
7) Ethical debates regarding artificial intelligence and new communication technologies
8) Midterm
9) Using big data and chatbot in communication research - article analysis
10) Internet of things, use of extended reality technology in communication research - article analysis
11) Internet of things, use of extended reality technology in communication research - article analysis
12) Development and application of scientific research on artificial intelligence in the field of communication – student presentations – 1
13) Development and application of scientific research on artificial intelligence in the field of communication – student presentations – 2
14) Development and application of scientific research on artificial intelligence in the field of communication – student presentations – 3
15) Development and application of scientific research on artificial intelligence in the field of communication – student presentations – 4
16) Final exam
Recommended or Required Reading
1- Bourne, C. (2019). AI cheerleaders: Public Relations, Neoliberalism and Artificial Intelligence. Public Relations Inquiry, 8(2), 109–125.
2- Coppin, B. (2004). Artificial Intelligence Illuminated. USA: Jones and Barlett Publishers.
3- Ilıcak Aydınalp, Ş. G. (2020). Halkla İlişkiler Perspektifiyle Yapay Zekâ. Turkish Studies- Social, 15(4), 2283-2300.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Discussion
3) Case Study
4) Self Study
5) Project Based Learning
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required