Social sharing services such as Summify allow users to subscribe to a daily digest of stories that have been shared by their Twitter and/or Facebook users in what they call a “summary of your social news feeds.” In the process of tracking shared links on social media platforms, these sharing services are renaming and transforming… Read more Are social sharing services breaking the web with data-rich hyperlinks?
These are my quick and short notes on the Facebook F8 Developers Conference 2011 related to my research. Mark Zuckerberg describes how your Facebook profile acts as a five minute introduction when you meet someone and you share your common demographics such as your name, age, job and interests with them. The Facebook stream represents the next… Read more Facebook becomes a database for your life
Invitation to join the network (a series of events, reader, workshops, online debates, campaigns etc.) Concept: Geert Lovink (Institute of Network Cultures/HvA, Amsterdam) and Korinna Patelis (Cyprus University of Technology, Lemasol) Thanks to Marc Stumpel, Sabine Niederer, Vito Campanelli, Ned Rossiter, Michael Dieter, Oliver Leistert, Taina Bucher, Gabriella Coleman, Ulises Mejias, Anne Helmond, Lonneke van… Read more Unlike Us: Understanding Social Media Monopolies and their Alternatives
Update: A rewritten version of this paper has been published in New Media & Society. Please use the following citation: Gerlitz, Carolin, and Anne Helmond. 2013. “The Like Economy: Social Buttons and the Data-Intensive Web.” New Media & Society 15 (8): 1348–65. doi:10.1177/1461444812472322. [link] Co-authored paper by: Carolin Gerlitz (Goldsmiths, University of London) and Anne Helmond (University… Read more Hit, Link, Like and Share. Organizing the social and the fabric of the web in a Like economy.
I am currently working on analyzing the Dutch blogosphere with my colleague Esther Weltevrede with help of colleague Erik Borra from the Digital Methods Initiative. In an early exploratory phase Esther and I started to learn how to use Gephi to visualize our data and networks. In one of my early attempts I created this… Read more Visualizing data with Gephi: Abstract interpretations of the Dutch blogosphere #madewithgephi
Credits: Michiel Berger (@michielb), Anne Helmond (@silvertje), Marvin de Reuver (@marvindereuver), Esther Weltevrede (@esthr) and Ton Wesseling (@tonwesseling) This final image has been made with the help from Ton Wesseling who calculated the percentage of Twitter users per city, using data about the number of inhabitants per city from CBS (January 2010). Looking at the… Read more Visualization: Twitter penetration per city in the Netherlands