DIY and participation

This book examines the usefulness and limits of DIY citizenship, exploring the diverse forms of political participation and “critical making” that have emerged in recent years.  Matt Ratto, Megan Boler (ed.), DIY Citizenship, Critical Making and Social Media, Cambridge MA, The MIT Press, 2014. See more

Emotion and virality

Jonah Berger and Katherine L. Milkman, “Social Transmission, Emotion, and the Virality of Online Content”, Marketing Science Institute Working Paper Series 2010 Report No. 10-114. Abstract: “(…) In this report, Jonah Berger and Katherine Milkman take a psychological approach to understanding diffusion. Using a unique dataset of all the New York Times articles published over a three-month … Continued

Memes and participation

Milner, R (2012). The world made meme: discourse identity in participatory media. Doctoral dissertation, University of Kansas. Available at: https://kuscholarworks.ku.edu/handle/1808/10256 Google Scholar Abstract: This project explores internet memes as public discourse. ‘Meme’ is a term coined by biologist Richard Dawkins to describe the flow, flux, mutation, and evolution of culture, a cultural counter to the gene. But the … Continued

Cats on the Internet

“How cats became the undisputed mascot of the internet. The advertising slogan of the social news site Reddit is “Come for the cats. Stay for the empathy.” Journalists and their readers seem to need no explanation for the line, “The internet is made of cats.” Everyone understands the joke, but few know how it started. A … Continued

Temporalities of the Web

Niels Brügger, “A brief Outline of Temporalities of the Web Online and in Web Archives”, in  Valérie Schafer (ed.), Temps et temporalités du Web, Nanterre, Presses universitaires de Paris Nanterre, 2018. Read the chapter

Structural virality

Sharad Goel, Ashton Anderson, Jake Hofman, Duncan J. Watts, “The Structural Virality of Online Diffusion”, Management Science, 2016, 62(1), pp. 180-196. https://doi.org/10.1287/mnsc.2015.2158. Extract of the abstract : (…) We use this notion of structural virality to analyze a unique data set of a billion diffusion events on Twitter, including the propagation of news stories, videos, images, … Continued

© Université du Luxembourg 2021. All rights reserved

© Université du Luxembourg 2021. All rights reserved

© Université du Luxembourg 2021. All rights reserved

© Université du Luxembourg 2021. All rights reserved