This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

trusted source

proofread

Datagotchi: The voting-prediction tool keeps learning new things

vote
Credit: CC0 Public Domain

People's everyday habits may not correlate perfectly with their voting behavior. But the research team behind a made-in-Quebec app called Datagotchi has found a significant link between lifestyle and voting preference.

After the Oct. 3 provincial elections, compiling the data collected from their app, they found evidence that points towards strong associations between certain lifestyles and the main political parties.

Nadjim Fréchet, a Ph.D. student in at Université de Montréal, was part of the Université Laval research team that developed Datagotchi. He helped analyze the responses that nearly 95,000 users gave the app in just under a month.

More users, better predictions

Just like the advertising slogan for Maple Leaf hot dogs—"More people eat them 'cause they're fresher, and they're fresher 'cause more people eat them!"—more is certainly better when it comes to algorithms.

And the more people use Datagotchi, the more its predictive ability improves.

As increased in the course of the election campaign, the app's research team was able to get remarkable success rates in accurately predicting which party people would vote for.

Those rates were:

  • CAQ: 82.43%
  • PQ: 67.81%
  • Liberal: 62.65%
  • Québec Solidaire: 74.38%
  • Conservative: 75.49%

"Our data also indicate that crossing sociodemographic variables with lifestyle increases Datagotchi's predictive capacity by 7%, compared with using sociodemographic variables alone," Fréchet said.

Testing elsewhere in Canada and globally

Over the next few months, the team plans to test Datagotchi in other elections, including in Ontario and British Columbia. Researchers have also expressed interest in using the app in countries such as Indonesia, Japan and Great Britain, whose political system is similar to ours.

Here in Canada, the Datagotchi team intends to test-drive its app on a national scale on two possible occasions: if the current minority Liberal government falls or when it reaches the end of its mandate in 2025.

Fréchet, a specialist in quantitative research, said that studying the relationship between evolving lifestyle habits and political allegiance is something new for political scientists in their approach to their discipline.

"Researchers are particularly interested in comparing Western and non-Western lifestyles and electoral preferences," he said. "In the short term, the plan is to diversify our data collection sites and to make predictions about more than just voting preference."

Fréchet added that he will continue to play a role in the project, training the app's algorithms, developing the data collection infrastructure and analyzing the results.

"In today's world, where and 24-hour news channels are ubiquitous, studying the role of habits is an exciting new field of research," he said. "Outside the U.S., there isn't yet much scientific literature on the subject."

Citation: Datagotchi: The voting-prediction tool keeps learning new things (2023, January 12) retrieved 28 May 2024 from https://phys.org/news/2023-01-datagotchi-voting-prediction-tool.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Study analyzes the impact of targeted Facebook advertising on U.S. elections

1 shares

Feedback to editors