|||

What helped the the Egyptian revolution the most: Twitter, or the government switching it off?

I have been really interested in the meme” that the Egyptian revolution was the first social media revolution” and have tolerated infographics that correlate specific twitter activity with events in Egypt beyond. And I am sure we have all reminded ourselves that correlation is not causation.
I was recently listening to an Egyptian colleague who was in a position to know something about this. What he said was interesting: the revolution only really took off during the six days when the government switched off mobile phone networks and the internet. Up to then, these technologies had been quite useful in organising specific protests and plumbing the depths of support. But when that all went dead, there was nothing left to do but actually get out on the streets. And that’s when it all really took off. Plus, as he put it, there were a lot of young lads who suddenly realised that their Dads couldn’t reach them on their mobiles any more …

So, what does this tell us about different kinds of networking”?

Up next United Nations Volunteers: Citizens’ contributions essential to Tajikistan’s national development goals: UN Report Понимание Добровольчества в Целях Развития в Юго-Восточной Европе и Содружестве Независимых Государств: Уроки, Направленные на Расширение Another example of why research should be reproducible. via nytimes.com If only the original journal had made them submit their data and source code for peer inspection. It wouldn’t stop this kind of
Latest posts Making notes on PDFs without computer or paper Publications causal-map Causal Map intro Causal Mapping - an earlier guide The walk to school in Sarajevo Glitches Draft blog post for AEA365 Theory Maker! Inventory & analysis of small conservation grants, C&W Africa - Powell & Mesbach! Lots of charts! Answering the “why” question: piecing together multiple pieces of causal information rbind.fill for 1-dimensional tables in r yED graph editor Examples of trivial graph format Using attr labels for ggplot An evaluation puzzle: “Talent show” An evaluation puzzle: “Mobile first” An evaluation puzzle: “Many hands” An evaluation puzzle: Loaves and fishes An evaluation puzzle: “Freak weather” An evaluation puzzle: “Billionaire” Using Dropbox for syncing Shiny app data on Amazon EC2 Progress on the Causal Map app Articles and presentations related to Causal Maps and Theorymaker Better ways to present country-level data on a world map: equal-area cartograms A starter kit for reproducible research with R A reproducible workflow for evaluation reports Welcome to the Wiggle Room Realtime comments on a Theory of Change Responses to open questions shown as tooltips in a chart A panel on visualising Theories of Change for EES 2018?