The internet, and in particular the web and social media, has transformed the way we socialise, participate in politics, work, collaborate, and engage in commerce. This course focuses on the contribution of social science at large – emphasising classical sociology and social network analysis – to understanding life in the Digital Age. While attention is paid to relevant insights and approaches from other disciplines, for example applied physics and computer science, the primary focus is on theoretical and empirical contributions from social science. This course equips students with the theory and methods for understanding the social, political and economic impact of the internet. Students will also learn how network analysis and big data are being used to answer long-standing questions in social science.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- critically assess the social, political and economic impact of the internet;
- understand how big data are being used in the study of online social behaviour;
- conduct basic social network analysis;
- compare social scientific approaches to studying the internet with those from other disciplines; and
- discuss their learning in relation to the social science of the internet, both orally and in writing.
Indicative Assessment
- Tutorial participation (10) [LO 1,2,3,4,5]
- Social network analysis problem set, 500 words (10) [LO 3]
- Research brief on online social environment, 500 words (10) [LO 2,5]
- Examination, 3 hours (35) [LO 1,2,3,4,5]
- Class paper, 1750 words (35) [LO 1,2,4,5]
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
130 hours of total student learning time made up from:a) 35 hours of contact over 12 weeks: 24 hours of lectures, and 11 hours of tutorials; and
b) 95 hours of independent student research, reading and writing.
Inherent Requirements
Not applicable
Requisite and Incompatibility
Prescribed Texts
None
Preliminary Reading
Ackland, R. (2013), Web Social Science: Concepts, Data and Tools for Social Scientists in the Digital Age, SAGE Publications.Majors
Minors
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 1
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2020 | $3120 |
- International fee paying students
| Year | Fee |
|---|---|
| 2020 | $4800 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 4007 | 24 Feb 2020 | 02 Mar 2020 | 08 May 2020 | 05 Jun 2020 | In Person | View |
