Ideas, texts and data for course on "Critical social media studies and methods"
Dear all I am to teach a new course in the fall with theoretical perspectives (I am pretty strong on that) combined with methodological approaches. The idea is a part one on critical algorithm studies (quite theoretical) and a part two where we discuss various kinds of social media data and methods for data retrieval and analysis. My ideas so far include network analysis, content analysis, media-go-along and hopefully some machine learning as well. I also want to focus on data retrieval, data cleaning and data formats. I have thought of including crash courses in R and Tableau. As I have taught no methods courses for a couple of years I am eager to learn what perspectives others include and not at least where to get data examples in a time with API closure. Pls hit me with your examples, ideas, syllabi etc. On the list, mail, private message, whatever ... Thanks All the best Jakob Jakob Linaa Jensen, Ph.D. Associate Professor of Critical Social Media Studies Department of Media and Journalism School of Communication and Culture Aarhus University, Denmark Phone: +45 20 86 77 77 Mail: mailto:linaa@cc.au.dk Website: www.linaa.net Twitter: @jakoblinaa Recent book: The Medieval Internet. Power, Politics and Participation in the Digital Age. Emerald Publishing, 2020. https://books.emeraldinsight.com/page/detail/The-Medieval-Internet/?k=978183...
Hi Jakob In our Vitalities Lab short form methods webinar series, Breaking Methods, we include several on digital methods that we designed to be helpful as brief explainers: https://www.youtube.com/channel/UCu1q-2O2HIHLTUEZswtXXbA All best wishes Deborah On Tue, Aug 10, 2021 at 12:44 AM Jakob Linaa <jakoblinaa@gmail.com> wrote:
Dear all
I am to teach a new course in the fall with theoretical perspectives (I am pretty strong on that) combined with methodological approaches.
The idea is a part one on critical algorithm studies (quite theoretical) and a part two where we discuss various kinds of social media data and methods for data retrieval and analysis. My ideas so far include network analysis, content analysis, media-go-along and hopefully some machine learning as well. I also want to focus on data retrieval, data cleaning and data formats. I have thought of including crash courses in R and Tableau.
As I have taught no methods courses for a couple of years I am eager to learn what perspectives others include and not at least where to get data examples in a time with API closure. Pls hit me with your examples, ideas, syllabi etc. On the list, mail, private message, whatever ... Thanks
All the best
Jakob Jakob Linaa Jensen, Ph.D. Associate Professor of Critical Social Media Studies Department of Media and Journalism School of Communication and Culture Aarhus University, Denmark Phone: +45 20 86 77 77 Mail: mailto:linaa@cc.au.dk Website: www.linaa.net Twitter: @jakoblinaa
Recent book: The Medieval Internet. Power, Politics and Participation in the Digital Age. Emerald Publishing, 2020.
https://books.emeraldinsight.com/page/detail/The-Medieval-Internet/?k=978183... _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
Dear Jakob, On the website of my research group, there is a course literature list in audience research with a section on SoMe and data analytics that might be of help. See here: https://ruc.dk/en/research-group/audiences-mediated-life Otherwise, Roskilde University has also a Digital Media Lab with some resources. See their “toolbox" here: https://digitalmedialab.ruc.dk I’m always interested to hear about what others teach on their course, especially concerning the analysis of user data. So I’m happy to continue this conversation here or in private. Best, David -- David Mathieu, Ph.D. Associate professor in Communication Studies Head of research group Audiences & Mediated Life (AMLife) Chair of the Audience and Reception Studies section of ECREA International Coordinator in Communication Studies DCA, Roskilde University Universitetsvej 1, Postboks 260 4000 Roskilde, Denmark Office 41.3.02, phone: 4674-3144 On 9 Aug 2021, at 16.44, Jakob Linaa <jakoblinaa@gmail.com<mailto:jakoblinaa@gmail.com>> wrote: Dear all I am to teach a new course in the fall with theoretical perspectives (I am pretty strong on that) combined with methodological approaches. The idea is a part one on critical algorithm studies (quite theoretical) and a part two where we discuss various kinds of social media data and methods for data retrieval and analysis. My ideas so far include network analysis, content analysis, media-go-along and hopefully some machine learning as well. I also want to focus on data retrieval, data cleaning and data formats. I have thought of including crash courses in R and Tableau. As I have taught no methods courses for a couple of years I am eager to learn what perspectives others include and not at least where to get data examples in a time with API closure. Pls hit me with your examples, ideas, syllabi etc. On the list, mail, private message, whatever ... Thanks All the best Jakob Jakob Linaa Jensen, Ph.D. Associate Professor of Critical Social Media Studies Department of Media and Journalism School of Communication and Culture Aarhus University, Denmark Phone: +45 20 86 77 77 Mail: mailto:linaa@cc.au.dk Website: www.linaa.net<http://www.linaa.net> Twitter: @jakoblinaa Recent book: The Medieval Internet. Power, Politics and Participation in the Digital Age. Emerald Publishing, 2020. https://books.emeraldinsight.com/page/detail/The-Medieval-Internet/?k=978183... _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/
participants (3)
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David Mathieu -
Deborah Lupton -
Jakob Linaa