11/16/2015

#ParisAttacks - How Twitter tells the story

#ParisAttacks - How Twitter tells the story


This is an analysis of Twitter's hashtags after the week-end. I used a website (www.takwalker.com) to get the data. The dataset is aggregated for each hour of each days from Friday 13rd November 2015 to today. I chose to try to tell the story with Twitter's data.

Why this data-visualisation?

I did this data-visualisation because I was really moved by all these attacks. Victims were in my age group… I live in Paris Xe so it was in my neighbourhood… I love going to concerts, drinking a beer with friends… being alive finally ! It was a way for me to pay tribute to victims.

Why these data?

I chose to use aggregated data because I did not have so much time. But I was really interested by row data with geolocations, users… I was also interested by retweets and bookmarks. In fact I would have loved to have each tweet… But as I told before, I did not have so much time.

Why did I choose a red color palette for all the story?

It was difficult for me to choose a design. I tried different palettes but none was good enough. When I tried the red palette, I told myself « Wow ! This is really agressive ! » and I thought about it a long time. I chose to use this even if it is agressive because, indeed, #ParisAttacks were really agressive… When my colleagues and friends looked at my visualization, they told me that there is too much red and it is agressive. I told them that it is the aim of red palette. I want readers to have the same feeling than me about #ParisAttacks. Apparently, it is working...

Why did I choose a story?

First I tried to do the visualisation in a one page presentation. But when I looked at the data and how hashtags move, I told myself a story could be a good solution. So I put annotations, corresponding to events Firday night, to comment hashtags’ variations.


Feel free to leave a message or a note about this work.


Thank you!

10 comments:

  1. Nice viz. Bold decision to choose red. It made the viz bolder

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  3. May I ask how and where you found your data ?

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  4. Hi Jonathan, I took this viz as my inspiration to create viz for the recent Jakarta attacks. Thanks for sharing this!

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  5. Hi, this looks fantastic. Would it be possible to access the data? My programming skills are not good enough to do this. Many thanks

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  6. Just wish to say your article is as surprising.

    The clarity to your post is simply great and that i could
    suppose you’re a professional on this subject.
    Well with your permission let me to clutch your feed to stay up to date with approaching post.

    Thank you a million and please continue the rewarding
    work.
    Tableau Guru
    www.sqiar.com

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  7. very curious to know how you collected the data.. please tell us if you used any tools to collect the data.

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  8. Very nice viz!!

    I wonder if you share/would like to share your dataset (tweet ids)? Do you observe a sharp drop between 23:30 to 00:14 when you aggregate by minute? In a similar dataset, we observe this behavior and trying to find out if it was a common problem by comparing different datasets.

    Thanks in advance,
    Bests
    ZP


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  9. Dear Jonathan, I would like to cite your project in my MFA thesis paper for Northeastern University's Information Design and Visualization program. Is there any way I can get in touch with you for more information on this project?

    Lia Petronio

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    Replies
    1. Hi Lia ! Thanks for your comment ! I will be proud to be in your paper. You can get in touch with me by twitter if you want with a DM @j_trajkovic.

      Looking forward to hearing you !

      JonathanT.

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