Technische Universität Ilmenau

Current challenges in digital communication research - Modultafeln of TU Ilmenau

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subject properties Current challenges in digital communication research in major Master Medien- und Kommunikationswissenschaft/Media and Communication Science 2013
subject number101885
examination number2500405
departmentDepartment of Economic Sciences and Media
ID of group 2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science)
subject leaderProf. Dr. Emese Domahidi
term Wintersemester
credit points6
on-campus program (h)22
self-study (h)158
Obligationobligatory elective
examalternative examination performance
details of the certificate

  Students are required to conduct their own literature search, read relevant literature on the topic, participate in discussions, present their findings, and write a term paper based on their work during the semester.

maximum number of participants
previous knowledge and experience

Students are required to be famiiar with quantitative research. 

learning outcome

Students will familiarize themselves with the topic of well-being and computational communication research, practice searching for and reading of relevant empirical studies on the topic. They will present and discuss the findings from these studies, learn to develop research questions for reviews and answer them in form of a term paper. 


Current challenges in digital communication research: Research on Well-Being in the Digital Age

The relationship between computer-mediated communication (e.g. Internet or social media use) and different well-being indicators and correlates is one of the core topics of communication research (Meier, Domahidi, & Günther, in press). Psychological well-being is defined as a positive condition in individuals, which is characterized by ”optimal psychological functioning and experience” (Ryan & Deci, 2001, p.142). Numerous studies reported mixed findings regarding the positive or negative effects of computer-mediated communication on different well-being indicators and correlates (e.g. Domahidi, 2018; Utz & Breuer, 2017).

The recent increase in the availability of digital data as well as the development of new tools is fostering the popularity of computational methods for investigating old and new research questions in the domain (e.g. Gee et al., 2017; Gilbert & Karahalios, 2009). But what is new and innovative about these studies and how do they contribute to solve current challenges in the field? What are the limitations and concerns regarding these studies and how can we as communication researchers react to these challenges. What are academic voids and how can we determine future directions of research?

In this course we will read and discuss classic works as well as state of the art computational studies on the relationship of well-being and computer-mediated communication. We will discuss the findings, highlight new and old approaches and discuss the contribution of computational methods to the field.


media of instruction
literature / references
evaluation of teaching