Pushing the Score using Twitterdata: Difference between revisions
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* <p> | * <p>"Ik wist niet wat ik moest stemmen, dus heb ik uiteindelijk maar een bootje gevouwen van het stembiljet <strong>#ikstem</strong> #tk2017 <strong>#gestemd</strong>" https://t.co/KBqLBkYrpV</p> | ||
* <p> | * <p>"Grappig! RT @Mvan_berkel: In Leiden is rekening gehouden met zwevende kiezers. <strong>#ikstem</strong> #TweedeKamerverkiezingen" https://t.co/Un8uJfNZ0v</p> | ||
* <p> | * <p>"Met volle trotst en vrolijkheid voor de eerste keer gaan stemmen vandaag <strong>#ikstem</strong>"</p></blockquote> | ||
<p>b + c) A hash tag is used to streamline relevant topics by keyword or phrase by grouping them together to make it easier to find and follow tweets from people who are talking about the same thing. In this sonificatoin I used #ikstem and #gestemd. Both are given a different kind of sound.</p> | <p>b + c) A hash tag is used to streamline relevant topics by keyword or phrase by grouping them together to make it easier to find and follow tweets from people who are talking about the same thing. In this sonificatoin I used #ikstem and #gestemd. Both are given a different kind of sound.</p> | ||
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<h1>Used hardware and software</h1> | <h1>Used hardware and software</h1> | ||
<p>< | *[http://news.bbc.co.uk/ Nieuwspagina BBC] | ||
<p><nowiki>[https://www.python.org/ Python] <nowiki>, specific libraries: <a href="https://www.python.org/dev/peps/pep-0305/">csv</a>, <a href="https://docs.python.org/2/library/os.html">os</a> and <a href="https://pypi.python.org/pypi/python-osc">OSC</a></p> | |||
<p>< | <p>[https://www.python.org Python] , specific libraries: [https://www.python.org/dev/peps/pep-0305/ csv], [https://docs.python.org/2/library/os.html os] and [https://pypi.python.org/pypi/python-osc OSC]</p> | ||
<p>[https://puredata.info Pure Data]</p> | |||
<p> | <p>[https://pzwiki.wdka.nl/mediadesign/The_Ultimate_RPi_Installation_Guide RaspberryPi] and [https://pzwiki.wdka.nl/mediadesign/Pi_skin_conductivity Pi skin conductivity]</p> | ||
<p>Flyer: [https://issue.xpub.nl/02/" https://issue.xpub.nl/02/]</p> | |||
<p>Flyer: | <p>[https://pzwiki.wdka.nl/mw-mediadesign/images/b/bf/Twittersonification.zip Used files]</p> | ||
<br> | <br> | ||
<h1>References</h1> | <h1>References</h1> | ||
Latest revision as of 09:44, 4 April 2017
Sonification of the Dutch elections 2017
In the run up to the 2017 general elections in the Netherlands last Wednesday, the 15 of March 2017, a lot of Twitter[1] traffic was generated. Literally millions of tweets were send that day over the Internet.
The online political battle
"En meteen is daar de tweet: #waarwasBuma" [2] (And right after there was the tweet: #wherewasBuma)
This research is inspired on an article in the NRC (27 februari 2017) about the online political battle. Just like in the United States, parties attempt to reach voters through social media and to frame political opponents. The parties use social media more than ever this year’s elections. They try to convey their message to the unprecedented number of undecided voters and they try to frame opponents with catchy slogans or hashtags.
Seeing all these tweets passing so quickly it reminds me of a cascade of data, the starting point of a sonification[3] to perceptualize this huge amount of data in a score.
Pushing the score
This sonification entails three kinds of scores; a) for the whole tweet, b) for the hashtag ikstem (#ikstem), and c) for the hashtag gestemd (#gestemd).
a) It captures tweets sed during the day of the elections, between 07.30 and 21.00, when the polling stations were open. In total there are 47613 tweets captured. Some examples of tweets send:
"Ik wist niet wat ik moest stemmen, dus heb ik uiteindelijk maar een bootje gevouwen van het stembiljet #ikstem #tk2017 #gestemd" https://t.co/KBqLBkYrpV
"Grappig! RT @Mvan_berkel: In Leiden is rekening gehouden met zwevende kiezers. #ikstem #TweedeKamerverkiezingen" https://t.co/Un8uJfNZ0v
"Met volle trotst en vrolijkheid voor de eerste keer gaan stemmen vandaag #ikstem"
b + c) A hash tag is used to streamline relevant topics by keyword or phrase by grouping them together to make it easier to find and follow tweets from people who are talking about the same thing. In this sonificatoin I used #ikstem and #gestemd. Both are given a different kind of sound.
Used hardware and software
<nowiki>Python <nowiki>, specific libraries: <a href="https://www.python.org/dev/peps/pep-0305/">csv</a>, <a href="https://docs.python.org/2/library/os.html">os</a> and <a href="https://pypi.python.org/pypi/python-osc">OSC</a>
Python , specific libraries: csv, os and OSC
RaspberryPi and Pi skin conductivity
Flyer: " https://issue.xpub.nl/02/
References
- ↑ En meteen is daar de tweet: #waarwasBuma, De politieke strijd online, door Andreas Kouwenhoven & Hugo Logtenberg, 27 februari 2017, 21:05 (https://www.nrc.nl/nieuws/2017/02/27/en-meteen-is-daar-de-tweet-waarwasbuma-7033073-a1547979).
- ↑ sonification