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Parliament and Twitter Hate

Summary:
I stay the hell away from twitter fights about which MP draws the most attacks on Twitter and where lines are on what's allowable or not for very public figures who themselves often give pretty hard. Threats of violence seem absolutely wrong; otherwise, I'm not going to be drawn into the argument. But it seems it would be trivially easy, for somebody who knows what they're doing in Twitter's API, to scrape out all the tweets referring to each MP, and build a timeline of affect. Like, overall volume of tweets referring to an MP, relative mood of those tweets, and how that changes over time.You'd expect that senior politicians and more vocal politicians draw more attention, both good and bad, and that politicians that are more active on Twitter also draw more attention. All of that should

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I stay the hell away from twitter fights about which MP draws the most attacks on Twitter and where lines are on what's allowable or not for very public figures who themselves often give pretty hard. Threats of violence seem absolutely wrong; otherwise, I'm not going to be drawn into the argument. 

But it seems it would be trivially easy, for somebody who knows what they're doing in Twitter's API, to scrape out all the tweets referring to each MP, and build a timeline of affect. Like, overall volume of tweets referring to an MP, relative mood of those tweets, and how that changes over time.

You'd expect that senior politicians and more vocal politicians draw more attention, both good and bad, and that politicians that are more active on Twitter also draw more attention. All of that should be able to be controlled for. And then you'd be able to check for the effect of things like changing portfolios, movement into and out of cabinet, movement into and out of opposition and all that.

Anyway - a fun project for someone with time and who knows how to play with Twitter's API. I bet the Herald's data journalists could do it in no time at all and put up some ranking that could be interesting.

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