The official Twitter account of the Associated Press was hacked, the AP reported, and the hacker tweeted out that there had been a White House explosion.
The amount of publicly-available data available on Twitter, and a new data-visualization tool really hammers that home — developer Santiago Ortiz has mapped out the relationships between every Twitter employee based on their tweets to each other. Ortiz used Twitter’s API to pull all the tweets authored by Twitter employees for a one-week period, and then filtered those tweets by only those made between employees.
Mapping the languages of everyone using Twitter in New York shows the insane diversity of the city’s spoken languages and also where both tourists and local foreign language speakers are congregating.
During the Olympics, Studio NAND, Moritz Stefaner, and Drew Hemment tracked Twitter sentiment with Emoto. This interactive installation and data sculpture is the last leg of the project.
Visualization of Twitter chatter about the Olympics as compared to the NASA Mars landing. It’s great to see so many people excited about science! Created using TopicWatch.
I visualized different facts of Twitter in (for example) relation to the time, when it “happended”. There are also relations within the 9 subjects on Twitter I chose (marked in different colors). The visualization itself is pretty simple. 9 subjects (on the outside circle) with their inner theme (e.g. percents, numbers, …) relating to the inner circle, which works as timeline, as long as the facts were available.
Twitter engineers Miguel Rios and Jimmy Lin explored tweet volumes in different cities and found some interesting tidbits about how people use the service.
How can we represent conversations between a small sample of users, such as the email or SMS converstations between James Murdoch’s political lobbiest and a Government minister’s special adviser (Leveson inquiry evidence), or the pattern of retweet activity around a couple of heavily retweeted individuals using a particular hashtag?
Darwin’s Theory Pervades Twitter Too
via The Atlantic:
In a new paper entitled Competition Among Memes in a World With Limited Attention, Indiana University researchers Lillian Weng, Alessando Flammini, Alessando Vespignani, and Filippo Menczer analyzed 120 million retweets connected to 12.5 million users and 1.3 million hashtags in order to model how information (as discrete units, or memes) disperses on the social network.
What did they find? According to co-author Vespignani, having millions of followers does not denote an important message. Rather, the messages with the most immediate relevance tend to have a higher probability of resonating within a certain network than others. Think of it as “survival of the fittest” for information: those tweets that capture the most attention, whether related to a major geopolitical or news event or a particular interest, are likely to persist longer. This competition sounds bad, but it’s generally good for messages in general: thousands of tweets about Japan’s 2011 earthquake or the ongoing conflict in Syria don’t cancel each other out, but help refocus the attention of the wider Twitter audience on those issues, which in turn provides an added lift to individual messages over other off-topic ones.
The study reinforces what most journalists and marketers have known intuitively for some time now: that piggybacking on the trending ideas that constitute “the conversation” online maximizes the ability to spread tweet-sized ideas. Where people fit into preexisting networks certainly matters: Ashton Kutcher’s millions of followers represent a powerful hub of connections. But could Mr. Kutcher’s messages about Nikon’s new camera overwhelm hundreds of tweets about Trayvon Martin from hundreds of smaller, less-connected individuals? The research suggests that it doesn’t fully matter who you are or how many connections you have, but what you’re saying relative to the existing conversation is what really matters in spreading knowledge online.
FJP: Though not a shocking revelation, it does feel nice to see research support the power of Twitter.