Social Media Analysis

Uitgebreide vaknaam	Social Media Analysis
Leerdoelen	1. Define the general characteristics of ‘big data’ and social media analytics. 2. Name the key characteristics of the social network analysis, the natural language processing and the visual discourse analysis and describe their strong and weak points. 3. Being able to use to collect, analyze and visualize social media data. 4. Present the results of the research in a clear and systematic research report. 5. Being able to critically examine social media data and produce theoretically and conceptual sound reports. 6. Being able to apply theories to analyze social media data. 7. Have the capacity to communicate effectively, both orally and in writing.
Omschrijving	This course unit introduces the students to the applicability, constraints and possibilities of social media analytics. The course is firmly grounded in a critical understanding of ‘big data’ and the implications of its use in media industries. The students learn how to collect, analyze and visualize data from social networking sites. The course provides theoretical as well as applied tools to analyze data from social media. It begins with a reflection on the implications and limits of the ‘big data’. It then focuses on three approaches to analyze data from social media, including, text, social network and image analysis. The course is organized as a series of seminars and hands-on methods labs that run twice per week for two hours. After introducing the fundamentals of each approach, the students will be asked to apply these techniques to a sample of data collected from social media. This will give the students hands on experience on the use of these techniques.
Uren per week	4
Onderwijsvorm	practicum, werkcollege
Toetsvorm	schriftelijke opdracht(en), wekelijkse opdrachten
Vaksoort	bachelor
Coördinator	M. Esteve Del Valle, PhD.
Docent(en)	M. Esteve Del Valle, PhD.
Verplichte literatuur	Titel Auteur ISBN Prijs Will be announced ca. €  30,00
Entreevoorwaarden	This course is not open for other students.
Opmerkingen	Progress is open van 19 november 2018 t/m 7 december 2018. De werkgroepintekening in Nestor gebeurt door het secretariaat MILLC Department. De faculteit behoudt zich het recht voor wijzigingen aan te brengen in het vakaanbod, het aantal groepen en de roostering.
Opgenomen in	Opleiding Jaar Periode Type Ba Media Studies  (Audiovisual culture) 2 semester II a keuzegroep Ba Media Studies  (Cultural Industries) 2 semester II a keuzegroep Ba Media Studies  (Digital Culture) 2 semester II a keuzegroep Ba Media Studies  (Journalism Studies) 2 semester II a keuzegroep Ba Media Studies  (Politics and Global Citizenship) 2 semester II a keuzegroep Ba Media Studies  (Pre-master) 1 semester II a keuzegroep