Last week I gave a keynote the Personal Democracy Forum (#PDF12) in New York City - Networked Power: what we learn from data. PDF is an incredible gathering of some of the smartest folks working on understanding the idea of Personal Democracy, where every citizen is a full participant. In my presentation, I focused on the networked characteristic of our media ecosystem and the new form of power that networks attain. I described ways in which we at SocialFlow analyze networked audiences, mapping out attributes such as activity levels, topical interest, engagement and their evolving friendship-based shape. Some key points from the presentation:
- My Network != Your Network: networks of followers, audiences differ substantially in time of day, activity, engagement and shape.
- Overarching generalizations will most likely be misinforming.
- We need to better understand networked dynamics such as information flows, audience intersections and the effect of algorithmic curation.
- Networked spaces are NOT a pure meritocracy: certain positions are advantageous.
[...] the reach of an article is much more complicated than likes and shares. What gets seen is often dependent on the time of day and the influence of who shares a [...]
[...] the reach of an article is much more complicated than likes and shares. What gets seen is often dependent on the time of day and the influence of who shares a [...]
[...] the reach of an article is much more complicated than likes and shares. What gets seen is often dependent on the time of day and the influence of who shares a [...]