Monthly Archives: November 2014

According to the crowd, Putin’s motorcade shape was a hoax

Twittertrails is studying the propagation of rumors on Twitter. It will give you evidence about how the Twitter audience reacts to a rumor and whether the audience believes the rumor is a hoax or not. Its method of measuring the skepticism of the audience is a little more sophisticated than counting retweets, however. In fact, the rumor may get a huge head start, almost 11,000 retweets, but if they all came from the same source, they will not count as much on the skepticism level.

Let us demonstrate the skepticism level with an example. The twittertrails.com user asks the system to retrieve all tweets containing the terms “putin motorcade”, and the rest are computed automatically in a few minutes.

The “Putin Motorcade Shape” Story

A few days ago, a funny rumor appeared, that Putin’s motorcade was shaped as, well, you’ll see in the accompanying picture:

putin-propagation

The originating tweet who broke the story received almost 11,000 retweets! One of the reasons for that amazing count that any marketer would love, was that the account owner is a member of several groups with different political, ethnic and financial identities. Looking into the timeline graph, however, one can see that he was not the first to write about it. The first relevant tweet came several days before his post, by an Ukranian Euromaidan account.

Continue reading According to the crowd, Putin’s motorcade shape was a hoax

False rumors do not spread like True ones

On Twitter, claims that receive higher skepticism and lower spread scores are more likely to be false.
On the other hand, claims that receive lower skepticism and higher spread scores are more likely to be true.

The above is a conjecture we wrote in a recent paper entitled Investigating Rumor Propagation with TwitterTrails (currently under review). Feel free to take a look if you want to know more details about our system, but we will write here some of its highlights.

As you may know if you have read our Twitter Trails Blog before, we are developing a Web service that, starting from a tweet or a set of keywords related to a story spreading on Twitter (or a hashtag), it will investigate it and answer automatically some of the basic questions regarding the story. If you are not familiar, you may want to take a look at some of the posts. Or, it can wait until you read this one.

Recently we deployed twittertrails.com a site containing the growing collection of stories and rumors that we investigate. Its front end looks like this:

condensed_view_v2

 

This is the “condensed view” which allocates one line per story, 20 stories per page. There are over 120 stories collected at this point. Clicking on a title brings you the investigation page with lots of details and visualizations about its spread, its originator, how it burst, who supports it and who refutes it.

Continue reading False rumors do not spread like True ones