Twitter’s increasing doubts about the Germanwings cell phone video

On March 31, 2015, at around 1 PM eastern time (9 PM in Germany), German news outlet Bild posted an article claiming they had received a cell phone video of the final moments of the Germanwings flight, which was crashed by the co-pilot in the French Alps.  Bild writes (in their English translation):

Paris – A video emerged from on-board Germanwings flight 4U9525. German newspaper BILD and French magazine „Paris Match“ were able to view it.

– Video shows last seconds of death flight 4U9525, BILD

Paris Match, the French magazine which also claimed to see the video, describes it (from their English translation):

Its origin – a cell phone – was clear.  The scene was so chaotic that it was hard to identify people, but the sounds of the screaming passengers made it perfectly clear that they were aware of what was about to happen to them.  One can hear cries of “My God” in several languages.  Metallic banging can also be heard more than three times, perhaps of the pilot trying to open the cockpit door with a heavy object.  Towards the end, after a heavy shake, stronger than the others, the screaming intensifies.  Then nothing.

– EXCLUSIVE: THE FINAL MOMENTS BEFORE THE CRASH, Paris Match

Neither organization posted the video, but rather descriptions of what the video showed.

When @cnnbrk posted the story, it was retweeted over 500 times, and the conversation began to pick up steam on Twitter.  However, not all Twitter users were convinced, even before reports began to spread that French officials were denying the existence of this video.  Continue reading to learn about how TwitterTrails allows users to trace the increasing doubt about the Germanwings cell phone video.

Continue reading Twitter’s increasing doubts about the Germanwings cell phone video

Two Police Officers shot during Ferguson Protests: Observations through TwitterTrails

The Ferguson police chief resigned on March 11th, 2015, following the Justice Department’s report about systematic bias in the Ferguson police department.  This prompted protests outside the police department, during which two police officers were shot and wounded.

Using TwitterTrails, we investigated this claim the following morning, about 10 hours after the shooting, and repeated the data collection twice over the next 12 hours to get a larger dataset.  We find that, even though we did not collect data live during the event, TwitterTrails can still reconstruct an interesting and meaningful account of the reporting on Twitter.  We capture not only traditional news media reporting, but also first hand accounts written by people on the scene of the protest (which contain information that is less visible in tweets written by the news media).  Finally, we find a very polarized audience taking to Twitter to discuss the shooting, as captured by the co-retweeted network.

The Co-Retweeted network, capturing a very polarized audience discussing the shooting of two Ferguson police officers during a protest   in the early hours of March 12th, 2015.
The Co-Retweeted network, capturing a very polarized audience discussing the shooting of two Ferguson police officers during a protest in the early hours of March 12th, 2015.

Read on for our observations, or view the story for yourself on TwitterTrails.

Continue reading Two Police Officers shot during Ferguson Protests: Observations through TwitterTrails

Following #GRexit on Twitter Trails

TwitterTrails is a system that can easily follow the spread of any set of words on Twitter, including hashtags. Today we followed the hashtag #GRexit, associated with the issue of whether Greece will eventually exit the Eurozone or not. For those following the Greek drama to secure new loans and remain in the Eurozone, it appears that mentioning GRexit has increased in the media in the past month. Discussions about GRexit go back to 2010 but there was never before considered as likely an event  to happen as it is now.

Increased mentioning of #GRexit

We  collected tweets containing the hashtag #GREXIT on TwitterTrails.com today (warning: this is a large data set and it takes a while to load). Below are some observations from this first collection:

GRexit timeline

Looking at the time series of the collection, there is, indeed, an increase in the appearance of #GRexit since the Greek elections in January, 25 2015, but the first tweet in our data set goes back almost 3 year: Interestingly, people remember the tweet sent by the then-Economist/Blogger Yianis Varoufakis in May 2012. In this tweet, addressing two reporters,  Mr. Varoufakis gives a psychological definition of the term (my translation from Greek):

“Grexit: The unsatisfiable desire of Germany (which, if satisfied, euro collapses). That simple.”

Not sure what Mr. Varoufakis meant by this tweet — let me know if you do. Through his blog and interviews, Mr. Varoufakis is known for writing and saying a lot of things over time.  I recall listening to him giving one of his many interviews to NPR in July, 2012, telling the reporter in no uncertain terms that the euro will not exist by the end of August, 2012. Anyway, whatever he meant back then, he is now Finance Minister of Greece and he really has to avoid the possibility of GRexit.

Current visibility of #GRexit

Next, let’s take a look at the tweet Propagation Graph showing what made #GRexit popular recently.

GRexit propagation graph

The tweet propagation graph is showing which tweets made the hashtag popular. The highest point in the propagation graph comes from BBC News (World) on 17 Feb, 2015 (the large purple circle) discussing the implications of a GRexit: “What would happen if Greece quits the euro? #grexit“. The attached picture in the tweet shows  drachma coins and bills, the expected new currency if Greece were to exit the Euro.

BBC highest tweet

 

How is the audience following #GRexit

Next, we look at the co-retweeted network (below). Recall that the co-Retweeted network is showing the “main players” among the accounts tweeting about #GRexit, according to the audience. Not surprising, this network is mainly composed of news agencies in European countries. The shape of the network is important as it reveals the degree of polarization of the audience following GRexit.

The more often two accounts are being co-retweeted by others, the closer they appear.
The further they appear, the less they are co-retweeted.

GRexit co-retweeted networkThe group shown at the top of the network (colored yellow) is composed mainly of German news agencies.
At the other end, the bottom group (colored pink) is composed mainly of pro-Greek government accounts, and near  them (colored light green) Greek news agencies. They are as far apart as they can be.
In the middle groups (colored orange, blue and light green), are news agencies from other European countries.

One way to read the co-retweeted network is that the audience in Greece and Germany are exposed to different news. This makes some sense since it is unlikely that news agencies tweet mainly in the language of their audience. But it may also mean that the audiences are exposed to different version of events and are lost in translation. There were at least two misunderstandings that were blamed to inaccurate translation.

We will continue to monitor GRexit on a bi-weekly basis. If you are interested in knowing what happens to the popularity and visibility of the hashtag, stay tuned!

 

 

 

Charting Skepticism vs. Spread and determining whether claims are likely true or false

If you’ve read our blog post False rumors do not spread like true ones you will probably recognize this graph:

graph

It plots the skepticism of TwitterTrails stories vs. their spread, contrasting how much doubt people have in the information a story presents and how visible and discussed a story was (read more about Spread and Skepticism here).   This graph is now visible to the public, and you can view the skepticism and spread of all the stories in our database: RUMOR SPREAD vs SKEPTICISM graph (hovering over a point displays skepticism and spread, and clicking brings up a summary of the story)

Continue reading for more information about this graph, and how TwitterTrails determines whether claims are likely true or false based on the wisdom of the crowd on Twitter.

Continue reading Charting Skepticism vs. Spread and determining whether claims are likely true or false

TwitterTrails Metrics: Spread and Skepticism

Spread and Skepticism are the two metrics used by TwitterTrails to gauge the impact of a story on Twitter, and Twitter’s reaction to the validity or truthfulness of the story. This posting gives information of what these metrics are and examples of their usage.

In this post we discuss the spread and skepticism of three claims, all of which are publicly viewable on TwitterTrails: the claim that people on welfare will receive free cars, the claim that the wife of the police chief in Ferguson wrote a racist post on her Facebook account, and the claim that Robin Williams died on August 11th, 2014.

three claims

Continue reading TwitterTrails Metrics: Spread and Skepticism

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

Girl Shoots Gun Instructor

hoax-tweetsOn August 25th, 2014, a 9 year old girl accidentally shot and killed her gun instructor while learning how to fire an Uzi.  It sounds outrageous enough to be a hoax–an article from the Onion–but various high profile news media outlets confirm the tragic shooting, which captures international attention for days following the incident.

Investigating this story using the Trails system reveals what we would expect to see from a true story: dozens of verified accounts tweeting about it, receiving hundreds of retweets.  However, we also find a persistent though low profile attempt on Twitter to disprove this story.  In this post, we study the emergence of a spam-like conspiracy theory surrounding the accidental shooting.

Explore this story on TwitterTrails, or read on for our observations. Continue reading Girl Shoots Gun Instructor