Twitter’s most insulted drivers at the 2022 Aus GP
The 2022 Australian Grand Prix, while not as exciting as Bahrain or Jeddah, certainly had a lot of talking points with Charles LeClerc’s win, Max Verstappen’s car troubles and more.
We analysed which drivers drew the most insults and negative tweets from the F1 community and here are the results.
Albert Park was clearly not a walk in the park for Lance Stroll
Lance Stroll, perpetrator of yet another mindless crash with Nicholas Latifi, and then guilty of weaving down a straight during the Australian Grand Prix, was the most insulted driver on F1 twitter this past race weekend.
The Canadian-Belgian driver garnered swear words from users in 19 percent of the tweets mentioning him over the race weekend - the most of any driver. While 19 percent of the tweets contained a swear word, nearly 50 percent of the tweets mentioning Stroll were negative in nature, as per our analysis.
The most common swear word used for Stroll? It was "shit" - some are calling it an apt description of his driving over the weekend.
Ocon and Russell at the receiving end of insults - surprising, to say the least
The next most insulted drivers on F1 twitter were surprising as they weren’t actually involved in a major incident.
Esteban Ocon, who got points in a third successive race, was second in this list with 18 percent tweets concerning him containing swear words. One explanation for that could be that he was right behind hometown driver Daniel Ricciardo and thus was subject to some good ol’ Aussie sledging on Twitter.
The third most insulted driver was George Russell, who finished third in the race as well, with about 15 percent of tweets mentioning him having swear words.
Twitter bemoans Carlos Sainz’ bad luck
While the driver associated with most negative sentiment tweets was Stroll, Carlos Sainz was up there as well.
The Spaniard had a horror weekend as he was unfortunate during qualifying and then had car troubles which resulted in a DNF during the Grand Prix. 34.5 percent of tweets mentioning him were negative in nature, primarily bemoaning his hard luck during the entire race weekend.
Methodology:
- We analysed 67,800 tweets from the Australian Grand Prix race weekend (practice+qualifying+race) and ran it through an automation tool for sentiment analysis
- The sentiment analysis also provided us the percentage of tweets aimed at the drivers, containing swear words
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Photo by Sebastian Pociecha
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