TÜRKÇE
ENGLISH
Information
| Code | ILEM834 |
| Name | Artificial Intelligence and Media Research |
| Term | 2024-2025 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. Serkan BULUT |
| Course Instructor |
Doç. Dr. Serkan BULUT
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The overall aim of this course is to provide PhD students with the skills to comprehensively examine the impact of artificial intelligence technologies on communication research, to critically analyze existing research and to design original media research.
Course Content
In this course, the theoretical foundations, applications and implications of artificial intelligence in the field of communication, ethical issues and future debates will be discussed.
Course Precondition
There is no prerequisite for the course.
Resources
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Malaysia: Pearson Education Limited. Gilbert, N., & Conte, R. (1995). Artificial societies. Taylor & Francis. West, D. M., & Allen, J. R. (2018). How artificial intelligence is transforming the world. Report. April, 24, 2018. Chan-Olmsted, S. M. (2019). A review of artificial intelligence adoptions in the media industry. International journal on media management, 21(3-4), 193-215. Ouchchy, L., Coin, A., & Dubljević, V. (2020). AI in the headlines: the portrayal of the ethical issues of artificial intelligence in the media. AI & SOCIETY, 35, 927-936. Natale, S. (2021). Deceitful media: Artificial intelligence and social life after the Turing test. Oxford University Press.
Notes
Turkish and English literature, articles, journals, magazines, newspapers, online resources and research reports appropriate to the course content.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain the basic concepts of artificial intelligence. |
| LO02 | Lists the areas of use of artificial intelligence technologies in the media. |
| LO03 | Analyzes robotic technologies designed for media organizations. |
| LO04 | Distinguish the basic methods of media research with artificial intelligence. |
| LO05 | Designs study proposals addressing the relationship between media and artificial intelligence. |
| LO06 | Examines critical studies on media research. |
| LO07 | Lists the shortcomings of existing media research on AI and its theme. |
| LO08 | Relates the concept of big data to media studies. |
| LO09 | Criticizes the term algorithm society from the perspective of communicative artificial intelligence. |
| LO10 | Recalls robot technologies used in social life. |
| LO11 | Distinguish ethical concerns in media research. |
| LO12 | Voluntarily participates in scientific activities related to the subject. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Belirsiz | Develops critical thinking skills. | 5 |
| PLO02 | Belirsiz | Have the conceptual and theoretical competence to explain the phenomena in Communication Studies disciplines. | |
| PLO03 | Belirsiz | She/he has knowledge of basic methodological approaches, methods, research techniques and their application and evaluation in communication and media studies.(dişil) | 4 |
| PLO04 | Belirsiz | Identify local, national and international problems in the field of Communication Studies. | |
| PLO05 | Belirsiz | Gains the ability to analyze and synthesize the phenomena in the field of social sciences in an interdisciplinary context. | |
| PLO06 | Belirsiz | She/He reports a social research she designed in the field of communication studies and turns it into original works in accordance with academic rules. | 4 |
| PLO07 | Belirsiz | He/she transfers his/her knowledge of the field in an effective and systematic way, both verbally and in writing. Gains the ability to give lectures, conferences and seminars. | 4 |
| PLO08 | Belirsiz | Have sufficient knowledge about the basic conceptual approaches used in the field of social sciences. | |
| PLO09 | Belirsiz | Takes responsibility, leads and works effectively individually and/or in a team. | |
| PLO10 | Belirsiz | Selects data collection and analysis techniques within the appropriate methodologies and applies empirical studies in order to solve these problems, |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definition of resources and introduction | No preparation required | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Introduction to artificial intelligence | Examination of resources on artificial intelligence. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Artificial intelligence in history | Reading materials on the history of artificial intelligence. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Concept review: Robotics, LLMs, NLp, NLG, machine learning | Examination of sources containing related concepts. | Öğretim Yöntemleri: Soru-Cevap, Örnek Olay, Bireysel Çalışma |
| 5 | Artificial intelligence technologies in media | Analyzing a sample vehicle in a media outlet. | Öğretim Yöntemleri: Tartışma, Alıştırma ve Uygulama, Örnek Olay |
| 6 | Robot journalism as a phenomenon | Examining research on journalism and AI. | Öğretim Yöntemleri: Tartışma, Bireysel Çalışma |
| 7 | Artificial intelligence and ethics | Examination of materials on professional ethics. | Öğretim Yöntemleri: Tartışma, Soru-Cevap, Beyin Fırtınası |
| 8 | Mid-Term Exam | Working to completing the assignment. | Ölçme Yöntemleri: Ödev |
| 9 | Artificial intelligence and actor network theory | Analyzing articles on actor network theory. | Öğretim Yöntemleri: Tartışma, Bireysel Çalışma, Soru-Cevap |
| 10 | Artificial intelligence and big data | Reading materials on big data. | Öğretim Yöntemleri: Tartışma, Örnek Olay, Anlatım |
| 11 | Artificial intelligence and surveillance | Examining studies on surveillance and analyzing a case study. | Öğretim Yöntemleri: Tartışma, Bireysel Çalışma, Örnek Olay |
| 12 | Artificial intelligence and the algorithm society | Investigation of algorithm society debates. | Öğretim Yöntemleri: Tartışma, Anlatım, Örnek Olay |
| 13 | Posthumanism and transhumanism | Reading sample researches. | Öğretim Yöntemleri: Tartışma, Anlatım, Soru-Cevap |
| 14 | Artificial intelligence and Society 5.0 | Designing a research on Society 5.0. | Öğretim Yöntemleri: Tartışma, Beyin Fırtınası, Alıştırma ve Uygulama |
| 15 | Proposal design | Examination of course materials and research methods. | Öğretim Yöntemleri: Tartışma, Örnek Olay, Grup Çalışması, Alıştırma ve Uygulama |
| 16 | Term Exams | Working to completing the assignment. | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | Working to completing the assignment. | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 13 | 3 | 39 |
| Out of Class Study (Preliminary Work, Practice) | 13 | 5 | 65 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 1 | 1 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 150 | ||
| Total Workload / 25 (h) | 6,00 | ||
| ECTS | 6 ECTS | ||