Abstract for Theorizing the Web 2014

Facebook Demetricator Demetricating Likes, Shares, and CommentsOriginal (top), Demetricated (bottom)

Facebook Demetricator Demetricating Likes, Shares, and Comments
Original (top), Demetricated (bottom)

I mentioned previously that I’ll be presenting about Facebook Demetricator on a panel at Theorizing the Web 2014. Here’s the abstract for my talk:

What Do Metrics Want? Facebook Demetricator and the Easing of Prescribed Sociality

 
The Facebook interface is filled with numbers that count users’ friends, comments, and “likes.”  By combining theories of agency in artworks and images with a software studies analysis of quantifications in the Facebook interface, this paper examines how these metrics prescribe sociality within the site’s online social network.  That prescription starts with the transformation of the human need for personal worth, within the confines of capitalism, into an insatiable “desire for more.”  Audit culture and business ontology inculturate a reliance on quantification to evaluate whether that desire has been fulfilled.  These conditions compel Facebook’s users to reimagine both self and friendship in quantitative terms, and situates them within a graphopticon, a self-induced audit of metricated social performance where the many watch the many.  The theoretical analyses presented are further considered and examined in practice using the author’s artistic software, Facebook Demetricator.  In use by thousands worldwide since late 2012, this software removes all metrics from the Facebook interface, inviting the site’s users to try the system without the numbers and to see how that removal changes their experience.  Feedback from users of Facebook Demetricator illuminates how metrics activate the “desire for more,” driving users to want more “likes,” more comments, and more friends.  Further, the metrics lead users to craft self-imposed rules around the numbers that guide them on how, when, and with whom to interact.  Facebook Demetricator, through its removal of the metrics, both reveals and eases these patterns of prescribed sociality, enabling a network society less dependent on quantification.