Semester |
E2019
|
Subject |
Public Administration * / Global Studies * / International Development Studies * / Cultural Encounters * / Politics and Administration * / International Public Administration and Politics *
|
Activitytype |
master course
|
Teaching language |
English
|
Registration |
Tilmelding sker via STADS-Selvbetjening indenfor annonceret tilmeldingsperiode, som du kan se på Studieadministrationens hjemmeside Når du tilmelder dig kurset, skal du være opmærksom på, om der er sammenfald i tidspunktet for kursusafholdelse og eksamen med andre kurser, du har valgt. Uddannelsesplanlægningen tager udgangspunkt i, at det er muligt at gennemføre et anbefalet studieforløb uden overlap. Men omkring valgfrie elementer og studieplaner som går ud over de anbefalede studieforløb, kan der forekomme overlap, alt efter hvilke kurser du vælger. Registration through STADS-Selvbetjeningwithin the announced registration period, as you can see on the Studyadministration homepage. When registering for courses, please be aware of the potential conflicts between courses or exam dates on courses. The planning of course activities at Roskilde University is based on the recommended study programs which do not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programs, an overlap of lectures or exam dates may occur depending on which courses you choose. Ved for få tilmeldte aflyses kurset. In case of too few registrations, the course will be cancelled. |
Detailed description of content |
This course explores the technical and methodological aspects of digital data collection and analysis of data mainly from social media platforms. We present theoretical concepts in relation to contemporary practice of cutting edge online analysis of digital data. The students will gain insight and concrete experience with how to utilize various methods of data collection and analysis of online communication and interaction, as well as insight into, how this enables a particular view and insight into human and organizational behavior online. As part of the Global Studies program we will discuss the role of social media in global politics, and how digital methods can help to explore and expand the understanding of online culture, communication, politics, and activism. Though this course is mainly concerned with data from social media, we also discuss this data in relation to other types of media and institutional relations in order to connect this communication to a wider political system. We explore the potential and limitation of digital data collection through a mixed methods approach that combines the advantages of quantification of metrics such as the number of posts, likes, comments and shares, with in-depth reading of content on social media platforms such as text, picture and video that is less suited for quantification and generalization. The students will need to work together in groups during exercises, and this group work is key to preparing for the exam. The course and exam paper is based on active participation and the work you do as a group during exercises. Therefore, attendance is highly encouraged throughout the entire course and exercises. The students will need to bring a personal laptop with the newest version of Excel running (free download as RUC student). We will use Excel for basic descriptive analysis and visualization of data. The course does not have high demands for processing power, but students with very old computer models and older versions of Excel may experience some issues. No prior knowledge of statistics or Excel is needed. At the end of the course the students should be able to understand and critically reflect of the key challenges and limitations of digital data collection and analysis based on social media data. Knowledge
Skills
Competencies
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Expected work effort (ECTS-declaration) |
The course runs once a week, with five course days in total Each course days is based on two modules = 3 hours and 30 minuttes. Home and peerreview is = 27,5 hours Preparation time = 50 hours Exam work = 40 hours Total hours = 135 hours |
Course material and Reading list |
The course relies on public access books and online articles available via university access. Books (public access): • Weller, K., Bruns, A., Burgess, J., Mahrt, M., & Puschmann, C. (Red.). (2013). Twitter and Society (2nd ed. edition). New York: Peter Lang Inc., International Academic Publishers. Articles: • danah boyd & Kate Crawford (2012) CRITICAL QUESTIONS FOR BIG DATA. Information, Communication & Society, 15:5, 662-679 • Driscoll, K., & Walker, S. (2014). Big Data, Big Questions| Working Within a Black Box: Transparency in the Collection and Production of Big Twitter Data. International Journal of Communication, 8(0), 20. http://ijoc.org/index.php/ijoc/article/view/2171 • Lomborg, S., & Bechmann, A. (2014). Using APIs for Data Collection on Social Media. The Information Society, 30(4), 256–265. https://doi.org/10.1080/01972243.2014.915276 • Rieder, B., Abdulla, R., Poell, T., Woltering, R., & Zack, L. (2015). Data critique and analytical opportunities for very large Facebook Pages: Lessons learned from exploring “We are all Khaled Said”. Big Data & Society, 2(2), 205395171561498. https://doi.org/10.1177/2053951715614980 • Rogers, R. (2015). Digital Methods for Web Research. In Robert A. Scott & S. M. Kosslyn (Eds.), Emerging Trends in the Behavioral and Social Sciences. Hoboken, NJ: Wiley. doi:10.1002/9781118900772 Pleas note that the final curriculum might change and will be available on Moodle before the first day of the course. |
Evaluation- and feedback forms |
The students will receive collective feedback throughout the course based on coursework and exercises. Finally the students will receive one piece of generalized feedback on the quality of the exam projects as a whole after the exam. |
Administration of exams |
ISE Studyadministration (ise-studyadministration@ruc.dk)
|
Responsible for the activity |
Sander Andreas Schwartz (saansc@ruc.dk)
|
Type of examination |
Individual written take-home assignment on a research question of the student’s own choice. The take-home assignment must be at most 26,400 characters in length, including spaces. The size specifications include the cover, table of contents, bibliography, figures and other illustrations, but exclude any appendices. Work on the take-home assignment is begun during the course. The deadline for delivery will appear on the university’s homepage. Assessment: 7-point grading scale. |
ECTS |
5
|
Learning outcomes and assessment criteria |
|
Overall content |
|
Teaching and working methods |
Lectures, exercises, student presentations, peer feedback and discussions. |
Type of course |
Optional course |
Exam code(s) | |
Last changed | 15/07/2019 |