Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


SOCIAL MEDIA ANALYSIS
SOCIAL MEDIA ANALYSIS


A.Y. Credits
2016/2017 6
Lecturer Mail Office hours for students
Fabio Giglietto
Teaching in foreign languages
Course with optional materials in a foreign language English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language.

Assigned to the Degree Course

Communication Sciences (L-20)
Curriculum: INFORMAZIONE, SPETTACOLO E NEW MEDIA
Giorno Orario Aula

Learning Objectives

Over the past few years, social media websites such as Facebook and Twitter have emerged to become a communications infrastructure essential to society and to the individual. A growing part of our daily conversations pass through the mediation of these platforms. This mediation makes conversations once ephemeral, permanent, searchable scalable and replicable.

Starting from a reflection on the social impact of these four properties, the course focuses on the consequences of these changes for the study of society and communication.

During the course students will gain knowledge on how to find, store and analyze the conversations taking place on Twitter and Facebook.

Specifically the course of this year will be dedicated to the analysis of conversations prompted by news storie shared on social media.

Program

  • Intoduction to the theory of social systems
  • The definition of social semantics
  • The definition of Networked Publics
  • Permanence, replicability, scalability. searchability.
  • Definition of Computational Social Science
  • Facebook and Twitter API
  • Getting and analysing data from social media wbesites
  • Project work

Bridging Courses

-

Learning Achievements (Dublin Descriptors)

understand the opportunities and challenges that social media pose to social research, learn about the Twitter API and Facebook, about platforms and techniques for capturing data from Twitter and Facebook, to know the techniques of content analysis

Teaching Material

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

Supporting Activities

See http://blendend.uniurb.it


Didactics, Attendance, Course Books and Assessment

Didactics

Lecture, in class discussion and project work

Attendance

3/4 of classes and project work

Course books

Bennato, D. (2015). Il computer come macroscopio: Big data e approccio computazionale per comprendere i cambiamenti sociali e culturali. Milano: Franco Angeli.

Allport, G. W., & Postman, L. (1946). AN ANALYSIS OF RUMOR. Public Opinion Quarterly,10(4), 501–517. http://doi.org/10.1093/poq/10.4.501

Bakshy, E., Messing, S., & Adamic, L. A. (2015). Political science. Exposure to ideologically diverse news and opinion on Facebook. Science348(6239), 1130–1132. http://doi.org/10.1126/science.aaa1160

Assessment

Oral exam and discussion of project work

Additional Information for Non-Attending Students

Didactics

-

Attendance

-

Course books

Bennato, D. (2015). Il computer come macroscopio: Big data e approccio computazionale per comprendere i cambiamenti sociali e culturali. Milano: Franco Angeli.

Allport, G. W., & Postman, L. (1946). AN ANALYSIS OF RUMOR. Public Opinion Quarterly10(4), 501–517. http://doi.org/10.1093/poq/10.4.501

A. Bessi, M. Coletto, G.A. Davidescu, A. Scala, G. Caldarelli, and W. Quattrociocchi. Science vs conspiracy: collective narratives in the age of (mis)information. Plos ONE (2015).

Bakshy, E., Messing, S., & Adamic, L. A. (2015). Political science. Exposure to ideologically diverse news and opinion on Facebook. Science348(6239), 1130–1132. http://doi.org/10.1126/science.aaa1160

Assessment

Oral exam

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