A key question I come back to in various areas, such as publishing/scholarly metrics (“#altmetrics”) and social media design/practice, is how might we detect if and how much a media interaction changes rather than just confirms a reader’s views?
As I noted on Twitter recently:
we gravitate to what doesn’t challenge us, so media metrics (eg pageviews, IF) often reflect & reward #homophily. “Like” makes this explicit
(note: IF = “Impact Factor,” a standard metric for a scholarly journal’s influence on other scholarship).
This blog post page is to create an anchor and open thread for the topic, and note a few of my efforts to explore it.
Second, here’s a clip on the topic from a 2012 talk I gave at a Quantified Self Silicon Valley event at Google in Mountain View. I answer two related questions from the founders of QS, Kevin Kelly and Gary Wolf: