Digital politics


This course aims to introduce students to the influences of big data and digital technologies on governments, parties, and
citizens. Human interaction increasingly occurs in spaces mediated by digital systems. The digitalization of societies
transforms politics in several ways. For instance, governments use machine learning algorithms to mobilize voters
or determine bail. The use of such technologies raises questions of accountability, ethics, fairness, and transparency.
This course engages the social, political, and economic implications of big data, artificial intelligence, large-scale
experimentation, and increasing automation on society.


The grades for this course are obtained through continuous assessment, a series of activities that must be completed
throughout the semester. The final grade is a function of two main activities: participation (40%) and research (60%).
Each of these activities are broken down into several milestones to help you incrementally make progress and succeed.
Each of the activities will be completed on a dedicated Wiki platform. The Wiki used in this course is the same
platform powering Wikipedia where thousands of people have been simultaneously collaborating for years!


This course is offered in a fully asynchronous online format. You will use an asynchronous collaboration platform to
complete continuous learning activities throughout the course length. Because you are not held accountable for doing
the work via having to see me face-to-face several times a week, it is up to you to keep up with the work and make
sure you are actively participating in the weekly activities. You will have to manage your time to successfully achieve
the weekly deliverables. It is your responsibility to do the work and keep up. Write reminders to yourself. Schedule
alerts in your phone. Have your buddies in the class hold you accountable. I want you all to be successful but much
of that falls on you!

Bibliographie indicative

- Brady, Henry E. 2019. \The challenge of big data and data science." Annual Review of Political Science 22:297{323.
- Burrell, Jenna and Marion Fourcade. 2020. \The Society of Algorithms." Annual Review of Sociology 47.
- Caren, Neal, Kenneth T Andrews and Todd Lu. 2020. \Contemporary social movements in a hybrid media environment." Annual Review of Sociology 46:443{465.
- Jerit, Jennifer and Yangzi Zhao. 2020. \Political misinformation." Annual Review of Political Science 23:77{94.
- Zhuravskaya, Ekaterina, Maria Petrova and Ruben Enikolopov. 2020. \Political effects of the internet and social
media." Annual Review of Economics 12:415{438.

En bref

Année 3 | Troisième année

Mode de validationContrôle continu

Enseignement optionnel

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Temporão Mickael [+]