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Social Media Research Project - Einzelansicht

Veranstaltungsart Projekt Veranstaltungsnummer 436411
SWS 4 Semester WiSe 2024/25
Einrichtung Wirtschaftswissenschaften   Sprache englisch
Belegungsfrist 01.10.2024 - 10.11.2024    aktuell
Gruppe 1:
     jetzt belegen / abmelden
    Tag Zeit Rhythmus Dauer Raum Lehrperson Ausfall-/Ausweichtermine Max. Teilnehmer/-innen
Einzeltermine anzeigen
Projekt Di 14:00 bis 18:00 wöchentlich 15.10.2024 bis 04.02.2025  3.06.H08 Dr. rer. pol. Gladkaya 24.12.2024: Akademische Weihnachtsferien
31.12.2024: Akademische Weihnachtsferien
Bemerkung

Throughout the course, we will rely heavily on Moodle.

Moodle Course: Social Media Research Project WS24/25
Moodle Key: SMR_prj_2024/5

When registering, please note that e-learning tools support limited course activities (integrative scenario).
Group-based consultations are offered via Zoom. However, all input lectures will take place on-site and will not be streamed or recorded. 

 

Have a great start to the semester,
Margarita Gladkaya

Leistungsnachweis

Students work in groups of 2 or 3. The aim of each group is to carry out research on a selected topic (selected by you and narrowed down or modified with the help of course instructors). Your research journey will be structured and overseen by experienced instructors. The course represents a setting where students' previously acquired book learning can finally come to life in practice, preparing the students for the next milestone - thesis writing.

The control points during the course are:

  1. research exposé
  2. in-class presentations
  3. written paper
Lerninhalte

Several social media platforms have gained incredible popularity in recent years (e.g., Facebook, Instagram, TikTok, etc.). Their phenomenal success manifests in millions of users all around the globe spending significant time on the platforms. Across its family of apps, only the Meta company reaches nearly 4 billion people monthly. 

By rapidly changing the way we communicate, inform ourselves, spend free time, study, work, and consume goods, social media and other digital platforms transform the society that we live in today. The new developments raise questions about their meaning and long-term consequences.

Hence, possible topics will revolve around

  1. the motivation to use digital platforms, e.g., social media
  2. psychological and other outcomes of the use
  3. the role of digital platforms for individuals and businesses

Depending on the topic, students will conduct literature reviews, qualitative, or quantitative studies. Close supervision is offered. Students present their preliminary results in class and submit a written paper at the end of the course. 

Zielgruppe

This course is designed for students with some knowledge and skill in working with academic literature and scientific methods (qualitative or quantitative). Within the course, we only brush up such topics as reading and writing academic papers. What we offer is hands-on experience in conducting, presenting research, and writing papers. Note that the number of topics we offer is limited, so are the slots at the course.  

We look for students who have already completed (a) at least one seminar course (any seminar), which signals research experience, or (b) Social Media Research course, or (c) Advanced Research Methods course during their master’s studies. 

 


Strukturbaum
Die Veranstaltung wurde 5 mal im Vorlesungsverzeichnis WiSe 2024/25 gefunden:
Vorlesungsverzeichnis
Wirtschafts- und Sozialwissenschaftliche Fakultät
Wirtschaftswissenschaften
Master of Science
Wirtschaftsinformatik und Digitale Transformation (Prüfungsversion ab WiSe 2017/18)
Pflichtmodule
MWI220 - Research Project on Digital Transformation  - - - 1 offens Buch
Betriebswirtschaftslehre (Prüfungsversion ab WiSe 2016/17)
Forschungsmethoden und Forschungsseminar
Wahlpflichtmodule
MFSBWL200 - Lehrforschungsprojekt  - - - 2 offens Buch
Mathematisch-Naturwissenschaftliche Fakultät
Institut für Informatik und Computational Science
Master of Science
Data Science (Prüfungsversion ab WiSe 2018/19)
Elective Modules - Research Modules
INF-DS-RMA - Research Module A  - - - 3 offens Buch
INF-DS-RMB - Research Module B  - - - 4 offens Buch
Compulsory Modules
INF-DS-C4 - Applied Data Science  - - - 5 offens Buch