Social Media, Data & Society - SOC00022M

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  • Department: Sociology
  • Module co-ordinator: Prof. David Beer
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Spring Term 2019-20

Module aims

  • To introduce students to the social implications of the relations between social media and data.
  • To develop a set of conceptual resources for understanding the social role, significance and consequences of data.
  • To place social media and data within broader social, political and cultural developments.
  • To develop an understanding of the part that new types of data might play in developing future social research.
  • To develop an understanding of data in the context of everyday life.

Module learning outcomes

Subject content

  • Have an understanding of the key conceptual ideas concerning data in social media and to be able to apply these concepts to specific examples.

  • Have an understanding of the part that new types of data and data might play in the future of social media.

  • To be able to critically engage with data and their integration into social processes, practices and outcomes.

  • Have a developed understanding of the social, political and cultural context from which data emerge.

Academic and graduate skills

  • To be able to use concepts to understand social transformations.

  • To be able to think contextually about processes, infrastructures and power dynamics.

Assessment

Task Length % of module mark
Essay/coursework
5000 word essay
N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
Essay/coursework
5000 word essay
N/A 100

Module feedback

Feedback on all work is provided in a variety of ways and you must make the most of all opportunities do

discuss your assessment and study progress:

1. After each open assessment you will receive feedback on the strengths and weaknesses of your

work. This will be available within 4 weeks of the submission deadline

2. You will meet with your supervisor twice a term and you should discuss any concerns that you

have and also present your assessment feedback for further comment

3. You will be asked to comment on the teaching of the modules and results will be discussed at

Teaching Committee

4. You will have five supervision meetings with your dissertation supervisor through the summer

months to enable you to discuss the different aspects of your work.

Indicative reading

These will be available on the module sites through the Yorkshare VLE. Most reading materials will be journals or book chapters which will be in pdf format. These can be downloaded and annotated on your work pc if you don t want the expense of printing.

Recommended books will be available in the library for reference only.



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.