They are wrong and here is why. /1
The false core claim: 23%-47% of mentions of anti copyright directive campaign hashtag mentions came from the US. /2
The used the full version, but the free version is enough to prove my point that the location data is not trustworthy.
Let's look at #SaveYourInternet as an example. 63k mentions in 7 days. /3
![](https://pbs.twimg.com/media/D0WNWWNWsAAV2m3.jpg)
First 14 results are Tweets by @Senficon. Member of the European parliament. Very influential, but definitely not an US account.
There is clearly a problem with the data. /5
![](https://pbs.twimg.com/media/D0WNXXCX0AIkyxQ.jpg)
![](https://pbs.twimg.com/media/D0WNXXFX0AEmPGZ.jpg)
In talkwalker it's possible to limit the search to a region. I choose Washington D.C.. /6
![](https://pbs.twimg.com/media/D0WU9CGWsAE0Eg5.png)
@Senficon MEP
@creativecommons US? not DC
@communia_eu Not DC
@YourMarkLubbers Unlikely
@createrefresh Nope
@fyeg Young European Greens
@edri No
@bitchute No
@yanatoom MEP
@EuropeanPirates Nope /7
![](https://pbs.twimg.com/media/D0WU9gGWsAEyukh.jpg)
![](https://pbs.twimg.com/media/D0WU9gDX4AIyadw.jpg)
Let's check Berlin. What is @Senficon doing here? I thought she was from Washington D.C.. Her German Tweets are shown.
I don't fully understand how it works. /8
![](https://pbs.twimg.com/media/D0WU-PAWwAARgFF.jpg)
![](https://pbs.twimg.com/media/D0WU-PDX0AA1fl4.jpg)
They looked at the following ones:
#censorshipmachines
#saveyourinternet
#linktax
#stopacta2
#savetheinternet
#art13
But those aren't the most popular hashtags. At least not recently. /10
Most popular hashtags: #artikel13, #uploadfilter, and #saveyourinternet.
The ones in the document may have been more popular last year though. /11
That's not proof of „meddeling“. /12
- The document was created by two authors.
- I decided to not name them because the document isn't publicly available yet.
- They are not associated with the EU.
- They are not associated with Talkwalker.
- They are part of a German lobby-group.
@V_Arakawa is categorized as a parent. Probably because she has the word 'daughter' in her profile. As a human I question that categorization.
![](https://pbs.twimg.com/media/D0aszDMX4AE0lk3.jpg)
![](https://pbs.twimg.com/media/D0aszDRX4AIDWut.jpg)
I didn't think they would publish it. They even kept the ridiculous population-to-tweets-ratio calculation.
- If an account filled out the location field, they try to match it to a region.
- If the field is empty or can't be matched, they use the language of the Tweet.
- If English it's Washington DC, if German Berlin.
Filtering by Berlin shows accounts with German Tweets but no matchable location info. (Altenbeken probably not in their db)
Filtering by Nordrhein-Westfalen shows accounts with matchable locations.
![](https://pbs.twimg.com/media/D0kE_GZWoAAgv2p.jpg)
![](https://pbs.twimg.com/media/D0kE_GdWoAAj7gL.jpg)
Washington DC: All accounts with English Tweets, but no proper location.
Virginia: Only accounts with matchable locations.
![](https://pbs.twimg.com/media/D0kJ6fDWkAAQtu-.jpg)
![](https://pbs.twimg.com/media/D0kJ6e_X0AAMwvk.jpg)