February 8, 2019
@JustinTrudeau’s tweets are more friendly and courteous than those posted regularly by @realDonaldTrump—and it turns out that both men mirror the personalities and communication styles of their constituents, based on findings of a study conducted.recently by McMaster University in Ontario.
The study, which examined differences in the language used in nearly 40 million tweets suggests that the national stereotypes about the population of each nation—for example, that Canadians tend to be polite and nice, while Americans are negative and assertive—are reflected on Twitter, even if those widely held (but fixed and oversimplified) beliefs aren’t completely accurate.
Linguistic experts from the school used Twitter in an attempt to better understand national identity on a mass scale and where stereotypes might originate. They isolated the words, emoticons, and emojis used disproportionately on Twitter by individuals from each country.
The findings, published online last November in the journal PLOS ONE, suggest that national stereotypes are grounded –at least partially—in the words we choose. The work builds on earlier research from 2016 when the same team analyzed 3 million tweets.
“The most distinctive word choices of Americans and Canadians on Twitter paint a very accurate and familiar picture of the stereotypes we associate with people from these nations,” says Daniel Schmidtke, co-author of the study and a post-doctoral researcher at McMaster.
Canadians were far more positive on Twitter, using words such as: great, thanks, good, amazing, and happy For example, on February 5, Canada’s Prime Minister Justin Trudeau tweeted, “We’re working hard to build infrastructure across the country to make life better for Canadians. Our investments are #BuildingCanada-and creating good, middle class jobs along the way.”
Americans tended to use more negative words like: hate, miss, mad, feel, swear, tired. For example, on February 5, U.S. President Donald Trump tweeted, “With Caravans marching through Mexico and toward our Country, Republicans must be prepared to do whatever is necessary for STRONG Border Security. Dems do nothing. If there is no Wall, there no Security. Human Trafficking, Drugs and Criminals of all dimensions – KEEP OUT!”
Americans preferred emojis, whereas Canadians preferred emoticons. Americans also used more netspeak like ‘lol’, ‘idk’, and ‘af’.
“It’s tempting to think that Canadians tweet more nicely than Americans because they really are more nice than Americans,” says Bryor Snefjella, the lead author of the study and a graduate student in the Reading Lab in McMaster’s Department of Linguistics and Languages, who was supervised by another co-author of the study, Associate Professor Victor Kuperman.
“But when we put all the data together, it suggests that something more complicated is happening,” he says.
The wrinkle is that other studies which have surveyed large numbers of Canadians and Americans have consistently shown that such national stereotypes are not accurate. There isn’t any hard evidence to support that an average American’s and average Canadian’s personality traits are different.
“The Twitter behavior we observe doesn’t actually reflect the real underlying personality profile of an average American or Canadian,” says Schmidtke.
To explore further, they exposed study participants to the most typical words and emojis from each nation. The participants were not told anything about how the words were chosen. They were then asked what the personality traits were of someone who often uses the most American and most Canadian words and emojis.
The results? Someone who uses very Canadian words has a personality matching the stereotype of a Canadian, and someone who uses very American words has a personality matching the stereotype of an American.
The research team argues that their results show an identity construction strategy in action: Canadians and Americans may create their national character stereotype through their language use.
In future, researchers hope to compare other stereotypes between people in different sets of countries.
Research contact: email@example.com