[Data Thread] I haven't done a British politics thread in a while, but was curious about public anger towards @MattHancock ! What follows is a thread analyzing those who've tweeted at Hancock since beginning of June. #sackmatt#thematterisnotclosed
2) First, I scraped around 23,361 tweets. As you can see, there is a big spike in tweets to @matthancock on 25th June, when news of his kiss properly broke. (nb: The scraping method doesn't include all tweets, and tends to favour more recent tweets from what I can tell)
3) Since the same people probably tweet at @matthancock a lot, I removed duplicate tweeters using an algorithm. This resulted in around 15,175 unique users tweeting at Hancock. As you can see, the pattern of tweets is roughly the same #sackmatt
4) I did a corpus analysis of these tweets, analysing them for the most common word. Interestingly, but perhaps unsurprisingly, the most common word was 'resign'. (I am excluding matthancock and https as they are just account data). 11% (1591)of 15175 tweets from unique accounts
5) used the term resign. And if there was any doubt, the context for using the term resign was almost always a demand that he resign. That's a lot of people asking Hancock to resign #SackMatt#TheMatterIsNotClosed#matthancock#matthanock
6) If you analyse the progression of tweets today and tomorrow, you can see there is an increased percentage today of people calling for @matthancock to resign - possibly due to continued anger, perhaps due to the video of the kiss being released. If we assume the data scraped
7) disperses error evenly then we can assume a greater percentage of people are demanding that Hancock resign today than yesterday (certainly on Twitter - even though we have a bit less data today). 24 % of tweets at Hancock today call for him to resign, compared to 16% yesterday
8) It would be interesting to keep tracking this trend, to see the extent to which public anger at Matt Hancock rises and eventually falls. In theory sustained or increasing anger may lead to his resignation, and it would be interesting to see what the threshold is.
9) I may add some network analysis later but that's it for now. To some up, the major mood to Hancock today is a demand to resign. This trend is increasing, and might continue to increase if public attention remains fixed and captured by the issue! #sackmatt
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🚨🧵1/ Graph showing people on X sharing the 'Haitians' or 'Immigrants' are eating pets xenophobic and/or racist disinfo. @elonmusk gets the most engagement by far on the topic, but @jdvance @stillgray @Surabees @tedcruz @charliekirk11 @endwokeness & @bennyjohnson get a lot
2/ Here's a list of the accounts who got the most impressions. I counted a minimum of 399,984, 065 impressions - and I was only downloading tweets with a minimum engagement of 50 retweets - so the real figure is higher.
3/ Another horrible outcome of this is that we now have to endure disturbing and racist memes of Trump abducting kittens (presumably to eat). Even Musk shared one, along with several tweets on the topic - supercharging the disinfo
🧵1/ Thought I'd zoom in on the data from the Southport riots, especially given the recent arrest of a man in Pakistan - which has prompted some commentators & news outlets to use it as an opportunity to target people of colour once again. Let's look at what happened
2/ A man in Pakistan, Farhan Asif, who ran Channel3NowNews, was just arrested for spreading misinfo. Channel3NowNews used the made-up name "Ali Al Shakati," However, contrary to some right-wing i/allusions, Channel3NowNews was NOT the first to tweet this name, or be arrested
3/ The first known person to post the name "Ali Al Shakati" on X was actually Artemisfornow, aka Bernie Spofforth, a wealthy woman from Cheshire. She tweeted the name over an hour before Channel3NowNews. She was arrested over a week ago, and released on bail.
🚨Important thread highlights how X under Musk is putting people at risk
1) This account impersonating a man who helped stop a knife attack in London is still live, & has accumulated well over 1 million impressions.
2) It's history indicates it is a pro-Putin "bot" connected
possibly to Pakistan. However, it also has pro-Ismail Haniyeh & Hamas content
3) Regardless of what you think of Hamas, this is far right rocket fuel. Tommy Robinson already tweeted out the fake account, wrongly accusing him of supporting an "islamist genocidal regime"
4) Despite Musk claiming he would clamp down on impersonator accounts this account has not been suspended yet. This is happening amidst a wave of anti -immigrant and anti-muslim violence in the UK.
🧵🚨This account @abdullahfromuk is impersonating a man who stopped a knife attack in London's Leicester Square. His original account handle was ZartashaPti and he has been tweeting pro-Imran Khan content in Urdu and English for most of his account history.
It has also tweeted content that would suggest it's pro-Vladimir Putin (although not in any particularly sophisticated way). The account is in the process of deleting its tweets, and it looks like a classic sockpuppet farm, for-hire type account.
@jneill has already highlighted some other content from the account, which again includes some Putin apologism
🧵🚨New analysis showing ALL tweets mentioning both "Muslim" & "UK" with over 500 retweets since 29 Jul. Graph shows which accounts got most impressions over time. Red/pink dots show anti-Muslim &/or anti-immigrant tweets, brown=neutral, green=tweets defending Muslims #UKRiots
2/ I grouped the tweets into the following three categories, 'anti', 'in defense of', and 'neutral'. Sadly the impressions gained by the number of 'anti' tweets was over 155 million (65%) while those 'in defense of' around 31 million. Neutral tweets were about 50 million.
3/ Parsing them finer we see that that the majority of the tweets were anti-Muslim, with half as many being both anti immigrant and both anti-Muslim. Some were solely anti-immigrant. #UKRiots
🧵🚨1/Somewhat depressing graph. I calculated whether all X posts with over 500 retweets mentioning the words "Muslim" and "UK" sent since 29th July were anti-muslim, anti-immigrant (red), neutral (blue), or in defense of muslims and/or immigration (green). #Ukriots #hatespeech
2/ I grouped the tweets into the following three categories, 'anti', 'in defense of', and 'neutral'. Sadly, the impressions gained by the number of 'Anti' tweets was over 159 million (67%), while those in defense of around 28 million. Neutral tweets were about 50 million
3/ Some of the most xenophobic and anti-muslim accounts include. @radiogenoa @goldingbf @tpointuk @jimfergusonuk @ashleasimonbf @europeinvasionn The degree of hate varies, from outright conspiracy theories, to suggestions that Muslims enjoy special treatment by the police.