the button associates the piece of content with a specific analytics-like dashboard page that cleanly displays the credibility meter and spiders out to other services for more meta data. this really also needs to be a bookmarklet and browser plugin so browsers can use it on sites that don’t participate.

each participant in the system has their own profile page that openly reveals their own credibility. upon agreeing to participate, the user self identifies a few qualities to get their initial weighting. as they participate, their credibility adjusts and have opportunities to further refine their profile. another analytic dashboard tracks their credibility.

the rubric or algorithm is going to be very complicated. we need to account for tracking comments and conversation across multiple social platforms, traffic and analytics, media bugs and corrections, conflicts of interest, slant, fact checking, sourcing and all they entail. the dashboards and interface have to be models of elegant visualization design and focused on ultimate usability and experience.

second phase is building it out as an advertiser credibility network and ultimately a spam stopper. i’d love to go as far as considering a heuristic or intelligence tool to make sense of comments.

the value proposition has to be an open, embeddable software as a service powered by a community dedicated to accuracy, accountability, honesty, safety openness, and respect. our mission is to provide a means of identifying and categorizing content on those terms. more nuanced than a like, more numerically layered than a dig, it creates a folksonomy based upon content not as categories or keywords, but on our mission’s core values. with open apis, it is not a walled garden of comments or a forum for debate, but a twitter of linked numerical information that spiders down into all the connected dots.

i think we can do it. i think we have to do it. i think it’s django.

what do you think?

                          

With journalists and developers converging on Washington, DC for the annual Online News Association conference, Hacks/Hackers is hosting a hackathon called Hacks/Hackers/Hacking.

We’re bringing together hacks and hackers (journalists and developers) from news organizations and the DC area to see what you can build over the course of the conference. With so many journalists coming from across the country, this is your chance to work with new people and experiment on projects outside the usual newsroom rush. If you’re attending a relevant pre-conference workshop, you can use what you’ve learned. Everything built during the event will be open sourced.

Teams will form on Thursday afternoon at the start of the ONA conference, with a session where people can pitch their ideas and find partners to work with. Then, you will research and code your projects, building up to demos and judging on Sunday afternoon, the day after the formal end of the conference.

Prizes will be awarded for the best projects, and food and refreshments for the day will be provided.

via Hacks/Hackers/Hacking at ONA – Eventbrite.

                          

Simon Rogers on The Guardian’s data journalism from Nieman Journalism Lab on Vimeo.

                          

Apps showdown: Facebook vs iPhone vs Android [infographic] – Holy Kaw!.

                          

and was found on The beauty of data visualization at flowingdata.com

                          

Drupal Cheat Sheet Desktop Wallpaper – Smashing Magazine.

                          

WTF is HTML5 (Infographic).

                          

8 Websites You Need to Stop Building – The Oatmeal.