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Workshop Mapping Public Opinion Through Data
Cursusdoel
- critically discuss characteristics of online communication on different platforms, and come up with appropriate research questions;
- collect, clean and structure data from social media;
- analyze, enrich and visualize data to answer proposed questions;
- reflect critically on their own data research practices and results.
Vakinhoudelijk
The following students are guaranteed a place:
• BA Media en cultuur / Media and Culture 3rd year and further;
• BA CIW 3rd year and further;
• BA TCS or LAS 3rd year and further;
• pre-master’s students.
Other students will be placed by means of random selection.
In the past decade, information exchange and public debates have increasingly shifted to online spaces. For instance, from educators to journalists, social media are utilized for public engagement. At the same time, governments and businesses alike harness online platforms to monitor public opinions on varied issues. In this lab, students will explore how specific affordances of different digital platforms (e.g. Twitter, YouTube, TikTok etc.) shape public communications, and how empirical research can be done to systematically investigate them. By using digital methods (e.g. text mining, network analysis), students will learn how data can be retrieved and operationalized to map out public narratives and sentiment on different topics.
Aanvullende informatie
Werkvormen
Toelichting
During the Utrecht Data School Practicum, students learn how they can collect and analyse data. Students work under supervision of researchers experienced in digital methods. The practicum introduces different forms of data analysis and visualisation, providing the basic tools for digital humanities.
Voorbereiding
Students are expected to get timely access to the relevant software packages and to bring their laptops to classes. Self study and practice is necessary.
Toetsing
Paper
Verplicht | Weging 40% | Minimum cijfer 4,0 | ECTS 3
Group final paper in which you report on research of mapping public opinion through data.
To be announced
Portfolio
Verplicht | Weging 60% | Minimum cijfer 5,5 | ECTS 4,5
Written assignments.
To be announced.
Ingangseisen en voorkennis
Ingangseisen
Er is geen informatie over verplichte ingangseisen bekend.
Voorkennis
We expect no prior knowledge, but we expect enthusiasm for digital methods.
Voertalen
- Engels
Cursusmomenten
Gerelateerde studies
Tentamens
Er is geen tentamenrooster beschikbaar voor deze cursus
Verplicht materiaal
Er is geen informatie over de verplichte literatuur bekend
Aanbevolen materiaal
Materiaal | Omschrijving |
---|---|
READER | To be announced on Blackboard. |
Coördinator
J.J. Bakker | j.j.bakker@uu.nl |
Docenten
J.J. Bakker | j.j.bakker@uu.nl |
dr. F.L. Ferrari | f.l.ferrari@uu.nl |
Inschrijving
Inschrijving
Van maandag 3 juni 2024 tot en met vrijdag 21 juni 2024
Na-inschrijving
Van maandag 19 augustus 2024 tot en met dinsdag 20 augustus 2024
Inschrijving niet geopend
Permanente link naar de cursuspagina
Laat in de Cursus-Catalogus zien