Do Singaporeans hate Tesla?
According to research through Rave Reviews, yes.
The site recently studied a stack of tweets mentioning a number of big names in the world, the percentage of negatives to calculate a “hate rate. “Tesla was the most sensible in Singapore, at 58. 3%.
But we’re not the only position where Tesla is the most hated logo, it’s also number one for the wrong explanation of why in Taiwan, Croatia, Poland, Portugal, Serbia and Spain, where it has a massive hate rate of 75%. that with Taiwan, with a meager 14. 5%. Imagine that only 14. 5% of tweets are negative and you are already the most hated logo!Taiwanese Twitter users deserve to be quite typographic and tolerant.
But, of course, with every set of knowledge, caution should be exercised.
First of all, Singapore’s Twitterverse is not very representative of the country’s total, in favour of a younger population, we do not know in which direction the hate rate would swing if we took into account the 5. 7 million among us (if we had added our ministers in 2019, however, the number would exceed the existing 58. 3%).
They’re also very transparent about the fact that they had used a sentiment research tool, SentiStrength, to gauge Twitter users’ idea of some global brands, but this is where things get a little murky.
There are several tactics in which SentiStrength separates a given Array. At the simplest level, assign a binary score of -1 (negative) or 1 (positive). A triane score allows the option of 0 (an unbiased zone). some other measures, double and scale (possibly we wouldn’t bore you with mechanics), to take into account how negative or positive a is.
For example, “I like Singapore’s beloved cars lol” has a triane score of 1, but in a dual approach, it has a positive force of 3 (from 1 to five, five being very positive) and a negative force of -2. (from -1 to -five, with -five being very negative).
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Do you see where the challenge is? SentiStrength is an undoubtedly wonderful and surprising tool, but it is not a hundred% accurate for detecting nuances (sarcasm, for example). Rave claims he thought of tweets with a negative component of -2 to -5 to be negative, meaning they included a wide diversity of negative feelings.
The other big flaw he has is that he is more commonly trained in English. We tried statements like “Walao the weather sibeh hot” and “istg Teslas rly cmi leh” and returned a binary result of 1 and a triennary result of 0 (with dual, the result is also neutral). Maybe Singlish and Twitter jargon sounds very cheerful on SentiStrength.
Finally, Tesla is still quite young in Singapore, so he would be very reluctant to criticize the way he perceives himself here until he establishes a proper presence. Many of the tweets analyzed would possibly have been biased towards Tesla’s occasions in other foreign contexts, reflecting the sentiment on the ground – our terrain – towards the Model 3s in Singapore, for example. We can’t paint accurately with what we haven’t had.
Of course, this is just an unserious attempt to be more critical of the knowledge accumulated through the other smart people at Rave. However, we were presented with an attractive vision that demonstrates the inevitability of Tesla as a logo today.
This article was first published on sgCarMart.