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Analysis of 2.6 million tweets shows Twitter is adept at correcting misinformation - particularly if the claim is that a tiger is on the loose in Primrose Hill This Guardian piece is an interesting way to think of scraping Twitter to show how mis-information moves across time in periods of crisis. I was living in London during this time period, and it was really amazing how influential social media was in shaping people's perceptions of the riots.

Twitter maybe correcting misinformation when it comes to riot rumors but its doing nothing to stop storytelling. https://twitter.com/1014retold Buzzfeed compared it to a re-life Game of Thrones http://www.buzzfeed.com/lukebailey/this-live-tweeted-medieval-irish-war-is-the-real-game-of-thr

You can watch Open Folklore's Twitter Feed for the latest updates on all things digital and folklore/antho/&ct. and the discussions surrounding them. The latest from Open Folklore (@openfolklore). OF is a scholarly resource that will make a greater range of useful resources available for folklorists and for other interested communities

This article is of interest (http://mappingonlinepublics.net/2012/04/27/twitter-and-disaster-resilience-lessons-from-qldfloods-and-eqnz/) I would be interested in taking the map of twitter usage or during as disaster and the doing ethnographic follow up after the factor the see how this resource was used. This might build a better picture of how to use social media during disasters/similar problems.

How very interesting. Could be a really valuable read. I'm very curious how their method/methodology changes from other content analysis work in online spaces. If they take into account the unique context of blog comments (trolls, etc.).

There are some more simple network analysis, which I think are more user friendly (just one click :) ): Mentionmapp (http://mentionmapp.com/) and Vizify (https://www.vizify.com/yahoo#transition) can be used to analyze people's twitter network, and InMap (http://inmaps.linkedinlabs.com/) can be used to analyze people's professional network.

Beautifully crafted timelines that are easy, and intuitive to use. Document History Connected: Timeline is also great for pulling in media from different sources. It has built in support for pulling in Tweets and media from Twitter, YouTube, Flickr, Vimeo, Google Maps and SoundCloud. More media types will be supported in the future. Timeline is open source and could be quite useful for mashing together different types of content associated with ethnography projects.

What a great tool, Ed! Thanks for sharing! Now I feel like I need to think of a project where I can use this.

By revealing the social networks present within the urban environment, Invisible Cities describes a new kind of city-a city of the mind. It displays geocoded activity from online services such as Twitter and Flickr, both in real-time and in aggregate. Real-time activity is represented as individual nodes that appear whenever a message or image is posted. Aggregate activity is reflected in the underlying terrain: over time, the landscape warps as data is accrued, creating hills and valleys representing areas with high and low densities of data.

Might be interesting to download the software and see what comes of this multimodal effort...takes geocoded activity from social media and "maps" it to an "immersive three dimensional space." While not ethnographic in any proper/traditional sense, this tool foregrounds questions about community, public-ness, social practice, and digitally-enabled culture...

Great title. Not a very useful link.

the "iWant" tool does not appear to work...nor is it very clear how it works. But, I think it is indicative of the kinds of data mining/harvesting approaches people are taking when it comes to "public" streams of discourse/conversation/knowledge that Twitter represents.

I think this article is really spot on in providing an important model for empirically studying and representing the spread of ideas (or controversies) between media and how participatory and professional media influence one another. The fact that this article is written as much for academics as for activists is also exciting (and scary) to me, as a means of thinking about agenda-setting and influence. How might access to these tools help activist campaigns, and how might they swing back to challenge them? How can you really measure effect? "Even when we are able to access the data we need for analysis, interpretation is complicated by the specificity of individualized media experiences, where we've each curated our own individualized lists of sources on platforms like Twitter and Facebook. This can leave us with very different understandings of the day's news. Is it possible to speak meaningfully about a media agenda when agendas are set by individuals following a combination of friends and professional sources they've chosen to meet personal preferences and needs?"

An interesting look at Facebook, Twitter, Google, and LinkedIn considering where these each will be 5 years from now and 10 years from now.