With Twitter users generating tens of thousands of messages per minute, Hit-A-Tweet by Andreas Schlegel is a project that utilizes this data-flow overload in twitter to allow participants to create new tweet narratives. Project was created using Processing and twitter4j, a Java library for the Twitter API.
In this work, words from the 41-word long poem ‘I AM’ by Hani Haykal are extracted and used as a resource for search queries within the twitter universe. These search results will return and filter the most current tweets containing those words sequentially selected from the poem. They will then be stored in a Hit-A-Tweet database.
By hitting the Hit-A-Tweet Buzzer, a highlighted tweet will be selected, displayed and at the same time, also reveals the author’s twitter identity. These chance encounters, made possible with every hit, will be fed back to twitter, forming a sort of dada-ist inspired non-sense. These sequentially selected tweets go on to become new narratives which can be viewed at www.twitter.com/hitatweet .
In participating in Hit-A-Tweet, each audience is an active composer of a new arrangement of twitter text. These selections that form a larger non-sense narrative is a commentary about the temporal nature of tweet identities, voyeurism of the net user and is an attempt to create new arrangements of information fragments within the twitter universe.
To read more about the project, see sojamo.de/projects/hitatweet/
- Daytum [iPhone, WebApp] Created by Nicholas Feltron and Ryan Case, Daytum for iPhone is complementary application for Daytum web app to track your daily activities. iPhone app allows you to add, edit and view entries to help collect and communicate the most important stats in your world. Daytum was originally conceived by Ryan Case and Nicholas Felton as an elegant and intuitive tool for counting and communicating personal statistics, inspired by Nicholas Felton's "Annual Reports" which he has been making since 2005. The iPhone app adopts the beautiful and familiar cyan and grey palette offering all the features you'd expect for inputting and tracking data on the go. Within the app, the entries page features an entry field and a list of recent entries. Tapping an item name or entry amount will link to their detail views. By swiping across an entry, you can quickly choose to re-add that item and amount at the current time, or choose to edit or delete the entry. The main item and category views are scrollable lists. Tap the button at the top of the page to add a new item or category. Click on an item or category to visit its detailed view, or swipe to quickly reveal edit and delete options. Not only can you add data quickly but also the app allows you to visualise the same data in beautiful graphs. Selecting an item or category from the list view loads the graph view. Dragging the handles below the graph allows for the default 2 week range to be adjusted. Drag over the graph to see the entry total for a specific day. In addition there is favourites view, a place to keep frequently referenced graphs. Save an item or category here by pressing the star icon on a graph. When it's blue, the graph has been saved to your favourites. As it can be expected, Nicholas and Ryan have done a wonderful job with the app. Although utilising in a lot of instances standard UIKit elements, there are tweeks and quirky elements that give the app unique feel. Some may miss the minimal feel of the web app, myself included, but the iPhone app seem to make the best of the two worlds. UI is light, fast and functional. Tracking your data requires discipline and persistence. My only concern with tools such as this has always been that they required 100% commitment which Nicholas is known for (see video below). I would love to see features added to the web app which allows you to pull activities from other sources such as RSS or Flickr, something that Momento does. The actual how this data can be filtered may be related to keywords or hashtags but never the less it would be great way to collect, analyse and reflect upon your activities. For the time being, Daytum relies much on your persistance to be able to reach a point and enought data is collected. With the knowledge that API is on it's way we can rest assured that most of the things I just mentioned are on the way. iPhone app is just the first step in that direction, using oAuth and undocumented and currently private API. To summarise, Daytum is a fantastic way to collect and track important stats. iPhone app is a wonderfully made and designed iPhone app to complement Daytum service. Considering it's free, including the web service which is also free, limited to 1000 entries giving you enough reason to try it. Should you feel this is something you'd like to continue using, a tiny fee of $4 a month should be no deterrent whatsoever. Platform: iPhone Version: 1.0 Cost: Free Developer: Daytum See also your.flowingdata […]
- your.flowingdata [WebApp] your.flowingdata (YFD) is a way to collect data about yourself and your surroundingsÂ via Twitter. Record what you eat, when you go to sleep, how much television you watch, smoke (me), t-shirts you wear or anything else you want. YFD is a project by Nathan Yau,Â a PhD candidate in statistics, specifically data visualization, at the UCLA . Launched publicly only few days ago, YFD is part Nathan's research in self-surveillance. This is how you get going on YFD: 1. Follow @yfd on Twitter, YFD will quickly follow you back. 2. Sign in to your.flowingdata with Twitter. 3. Once you're logged in to YFD, you'll see a link to aÂ quick start guide. Follow the step-by-step directions and you'll be tweeting data in no time. There are four types of data you can use. â€¢ Categorical - If you're interested in the occurrence of the same action with different units e.g. ate corn â€¢ Event - If the point of interest is when something happens e.g. goodnight or pooped â€¢Â Counter - If you're mostly interested in total times you've done something e.g. smoked 5 cigarettes â€¢Â Measurement - If you want to see the trend over time of some value e.g. weigh 160 or blood-pressure 170 You enter the data by sending a direct message to @yfd in the following form: d yfd weigh 160 d yfd exercised arms d yfd watched Back to the Future d yfd played xbox at 20:00 d yfd goodnight at 11pm Once you've started tweeting data, it'll take about two minutes (usually less) for your data to appear on YFD. YFD is not too dissimilar from daytum.com which now also includes twitter commands or even the unforgettable moodstats from 2003 we wrote about before. YFD is new and as it can be expected there are still a number of oddities that need addressing. For example graphs show number of entries rather than items and one could argue that it is not particularly useful to visualize all your data at once but rather each type by itself or selectively items that may relate to one another. Â I found twitter input very quick and easy but there is also something to be said about not being able to input data directly on the site. This is especially the case when you want to enter data for yesterday which means having to do it on twitter first and then go to the action log and edit the date. It is important to note that YFD is still in development and I am confident Nathan will continue to bring awesome features to the site. I would personally like to see xml out as well as being able to automate some of the input data. For example it would be great to track when you tweet by simply loading an RSS feed into YFD. This also applies to your blog or services like dopplr to track your travel events. Another great feature would be reports you can publish, share. The possibilities are endless and Nathan is the right person for the job. Having run flowingdata.com blog since 2007, Nathan knows data and what it means collecting it. Whilst YFD what you see today is the first stab at recording data, rest assured there is much more to come. Sign up today and have fun capturing your life in […]
- Just Landed [Processing] Just Landed is the latest project byÂ Jer Thorp, an artist from Vancouver, Canada. Built in Processing, Just Landed visualizes particularÂ tweets containing the phrases 'just landed in...' or 'just arrived in...'.Â Â in the form of a 3D geographical map of the world. As phrases are mentioned, the streams of communication represented. Jer writes: This got me thinking about the data that is hidden in various social network information streams - Facebook & Twitter updates in particular. People share a lot of information in their tweets - some of it shared intentionally, and some of it which could be uncovered with some rudimentary searching. I wondered if it would be possible to extract travel information from peopleâ€™s public Twitter streams by searching for the term â€˜Just landed inâ€¦â€™. Locations from these tweets are located using MetaCarta's Location Finder API. The home location for the traveling users are scraped from their Twitter pages. The system then plots these voyages over time. Attached below are two clips of the animation. The first oneÂ showsÂ approximatelyÂ 36 hours of Twitter-harvested travel. The other animationÂ shows just 4 hours but running a bit slower. For more of Jer's work and other very interesting projects, seeÂ blog.blprnt.com Just Landed - 36 Hours from blprnt on Vimeo. Just Landed - Test Render (4 hrs) from blprnt on […]
- GoodMorning! [Processing] GoodMorning! is a project byÂ Jer Thorp, a Twitter visualization tool that shows about 11,000 â€˜good morningâ€™ tweets over a 24 hour period. Built using processing, using theÂ â€˜gatheringâ€™ client running for 24 hoursÂ collecting 1,500 tweets at a time, the app displays all the tweets using good morning terms and their appropriate locations on the rotating globe. The project was inspired by the recent discussions about hisÂ Just Landed project we mentioned on CAN few weeks back. Whilst the previous projects displays twitter relationships along a two dimensional map, Good Morning uses a 3D globe to represent aÂ global version of the same project. Jer, as always, has posted an interesting insight into obtaining the data and mapping it using Processing. A worthy read as well as his related post aboutÂ Just Landed. more aboutÂ GoodMorning.. UPDATE 11.10.2009 // Jer has just made source available for download. Get it […]
- onedotzero.app [Processing] Karsten Schmidt aka Toxi (PostSpectacular) has just posted source and the app used to create this year's onedotzero festival identity in collaboration with Wieden+Kennedy. The code allows you to modify most of the functionality of the app, ie insert your own text and specify your own feeds, rotation speeds, camera position, colors, etc. Check out Installation & UserGuide pages to get started. If you are unfamiliar with the project, see our post from weeks ago. The team decided to open source the entire generator, installation software & tools in the hope to encourage further discussion, educate and hopefully see some wonderful new additions/re-renderings of the whole concept... One kind request from the team to those who do give this a go & end up creating some modifications: Please do get in touch via the wiki, email, flickr, Twitter or the Processing forums and/or share your results online. They've also set up a new flickr group for that purpose over here: http://www.flickr.com/groups/onedotzero-identity-2009/ Note that the app has been released under the copyleft GNU General Public License v3. The full license text is included with each download. If you make modifications to the code & plan to distribute them, please make sure you understand your rights. Now download and have a play. (See embeded movie below of us […]
- Cascade [Processing] Cascade is the latest project by NYTimes R&D department that allows precise analysis of the structures that underly sharing activity on the web. Initiated by Mark Hansen and working with Jer Thorp and Jake Porway (Data Scientist at the Times) the team spent the last 6 months building the tool to understand how information propagates through the social media space. While initially applied to New York Times stories and information, the tool and its underlying logic may be applied to any publisher or brand interested in understanding how its messages are shared. The app is primarily an exploratory tool, Jer explains. NYTimes publishes more than 6,000 pieces of content every month, and the team can now analyse every sharing event involving this content using Cascade. Jer describes the basic app workflow: - A 'Story Mode' which shows a set of stories, and their associated event cascades. These stories can be requested via keyword search, section search, or a variety of 'interestingness' metrics. This view has some low-level visualizations of activity over time which allow us to focus in on event cascades which might be particularly interesting. - A 'Cascade Mode' which allows us to view the event cascades. The cascades build over time - one of the things we've been most interested in with this tool has the time-based analysis. Rather than seeing static views of the social graph, we can actually see the sharing networks unfold over time. This mode has three distinct views in which each cascade can be examined: 1) A 'side view' which shows all of the events over time, and uses the Y axis to indicate degrees of separation from the originating event 2) A 'radar view' which views the system from overhead and lets users identify 'threads' of conversation 3) A 3D 'tree view' which combines views 1 and 2 The tool is built in Processing, with a lot of help from Andres Colubri's GLGraphics library and toxiclibs. It runs on any machine, but is staged on a 5-screen video wall. This 'exhibition' app runs in an automatic mode, in which it explores the terrain of available data and wanders through the various presentation modes. The wall can also be controlled by a custom iPhone app which is a fairly simple and sends OSC commands to the display system. The team considered using touch or gestural input to control the display but in the end this gave them the control they wanted while being able to use the interface at some distance from the screens. All of the data is stored in a Mongo database, which they access through a Python API. They also used R quite a lot during the exploratory phases. The largest cascades they are currently loading have about 25,000 events. These are all rendered in 3D at full framerate (60fps) across 5 screens (6400x720) by a single machine. Jer suspects the system could handle trees of up to 50,000 events (all thanks to Andres & GLGraphics). The data that the team are currently using is a 2-week sample from July/August, but Jer says they will be moving to a near real-time data feed very soon. The implementation used right now looks at the sharing of NYTimes content over Twitter but Jer explains that in fact Cascade is a system that could be used to model any kind of sharing activity. They're already looking at implementing it for other Times properties (boston.com, etc. ) and will be testing it out on other sharing systems over the coming months. If you would like to know more about the project, make sure you also check out Coverage on Project Cascade from Nieman Journalism Lab. Of course, there is also the Project Page at NYTLabs. -- Jer will be presenting latest work including Cascades at Resonate, new digital arts festival taking place later this year in Belgrade. Other confirmed speakers are available here + sign up to the newsletter for more info available soon. You can also follow on Twitter or join the group on […]
- Appropriating Interaction Technologies (“Social Hacking”) at ITP AIT (“Social Hacking”), taught for the first time this semester by Lauren McCarthy and Kyle McDonald at NYU’s ITP, explored the structures and systems of social interactions, identity, and self representation as mediated by […]
- Hootsuite [WebApp] Inspired by the recent post on Mashable "Do Brands Belong on Twitter?" we bring youÂ Hootsuite .Â BrightKit HootsuiteÂ is a Twitter toolboxÂ allowingÂ you to manage multiple Twitter profiles. What is interesting in relation to the Mashable post is thatÂ Brightkit is a great tool for individuals and organisations to link up with their current and new customers via twitter. Whilst many of us use twitter for purely personal purpose there is a large number of organisation or blogs using twitter to generate a user/customerbase or simply keep the existing one up to date. On a number ofÂ occasionsÂ we have all heard about people following large number of people simply to increase the followers. Whilst many would argue that this is a non genuine way of making "friends" at the same time it is also a great tool to create an audience, communicate your business to as many people as possible. There is nothing wrong with this especially for small businesses who through twitter can meet new potential customers. After all, it is the choice of a follower whether to follow or not. This brings us toÂ HootsuiteÂ Brightkit, a great tool for managing multiple Twitter accounts at once. Besides being able to add editors, other people who can manage your twitter account, you can also schedule your tweets whether these be posts, product announcements or special deals. The site isÂ currentlyÂ in beta and at the moment you are able to add twitter profiles for free. In the futureÂ Brightkit intends to charge for this service but we are assured that this should not be expensive. If you have multiple twitter accounts, personal or for your businessÂ Brightkit might be just the tool you have been looking for. Platform: WebApp Version: Beta Cost: Free (currently) Developer:Â Invoke Media Inc Hootsuite […]
Posted on: 29/06/2010
- Freelance Interactive Producers at Psyop
- Senior Digital Designer at CLEVER°FRANKE
- Interaction Designer at Carlo Ratti Associati
- Creative Technologist at Deeplocal
- HTML / CSS Developer at Resn
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- Coder to collaborate with Agnes Chavez
- Data Scientist at Seed Scientific