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Twitter in Germany: A Big Data Perspective (GAU 2015)

Georg-August-Universität Göttingen

Twitter in Germany: A Big Data Perspective

Axel Bruns

  • 3 June 2015 – Georg-August-Universität Göttingen

Four New Chapters on the Challenges of Doing Twitter Research

One more post before I head home from the AoIR 2015 conference in Phoenix: during the conference, I also received my author’s copy of Hashtag Publics, an excellent new collection edited by Nathan Rambukkana. In this collection, Jean Burgess and I published an updated version of our paper from the ECPR conference in Reykjavík, which conceptualises (some) hashtag communities as ad hoc publics – and Theresa Sauter and I also have a chapter in the book that explores the #auspol hashtag for Australian politics.

Axel Bruns and Jean Burgess. “Twitter Hashtags from Ad Hoc to Calculated Publics.” In Hashtag Publics: The Power and Politics of Discursive Networks, ed. Nathan Rambukkana. New York: Peter Lang, 2015. 13-28.

Theresa Sauter and Axel Bruns. “#auspol: The Hashtag as Community, Event, and Material Object for Engaging with Australian Politics.” In Hashtag Publics: The Power and Politics of Discursive Networks, ed. Nathan Rambukkana. New York: Peter Lang, 2015. 47-60.

The Changing Features of Communication on Twitter

Up next in this AoIR 2015 session is Sava Saheli Singh, whose focus is on subverting social media. Our use of such social media, such as Twitter, is shaped by the biases built-in by the people who design these spaces; and these have changed over time. Users reinterpret and repurpose the features of social media spaces, so there is a constant struggle between platform providers and users.

Easy Data, Hard Data, Compromised Data

My QUT DMRC colleague Jean Burgess and I are next at AoIR 2015, presenting the core points from our chapter "Easy Data, Hard Data" in the Compromised Data collection. (The slides are below.) The chapter thinks through the pragmatics and politics of being social media researchers in a complex and precarious environment, and thus builds on David Berry's work on the computational turn in humanities and social science research.

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