The article Thomas Poell and I wrote was peer reviewed and published in Journalism.

Abstract

This article examines the appropriation of social media as platforms of alternative journalism by the protestors of the 2010 G20 summit in Toronto, Canada. The Toronto Community Mobilization Network, the network that coordinated the protests, urged participants to broadcast news using Twitter, YouTube, and Flickr. This particular use of social media is studied in the light of the history and theory of alternative journalism. Analyzing a set of 11,556 tweets, 222 videos, and 3,338 photos, the article assesses user participation in social media protest reporting, as well as the resulting protest accounts. The findings suggest that social media did not facilitate the crowd-sourcing of alternative reporting, except to some extent for Twitter. As with many previous alternative journalistic efforts, reporting was dominated by a relatively small number of users. In turn, the resulting account itself had a strong event-oriented focus, mirroring often-criticized mainstream protest reporting practices.

In response, and as an addition, to Wilbert Baans’ storytelling with public databases, I made a little twitter scraper. It indexed all twits for the query http://search.twitter.com/search?q=%22i+voted%22+%2B+McCain+OR+Obama+-twitvote, up till a month ago. From November the 4th till November the 5th the script scrapes new twits for this query every minute.

A point goes to Obama if the regular expression /vote.*?obama/i succeeds, it goes to McCain if the regular expression /vote.*mccain/i succeeds, else it is undecided / unrecognized.

The result can be found at Twitter Poll. So far Obama is winning.

Update: Wilbert Baan has made theses stats into a beautiful visualization:

There is an other twitter poll on Mashable.

Update 2: I tried making a similar exit poll based on MySpace, but that query does not yield results sorted on time. Also, just like Google, MySpace only returns a maximum of 1000 results per query. Unfortunately I’m thus stuck with the same numbers, no matter how many times I will scrape it.