Longer campaign cycles, filled with numerous televised debates and constant news reporting and social media coverage, are to blame for the rise of extremist politicians, says a new study.
Longer campaigns, which offer voters more information on the candidates via 24-hour news coverage and social media, turn voters' attention more toward a candidate's character -- such as trustworthiness and how he or she delivers speeches and exchanges debate barbs -- and away from his or her stance on policy, the findings showed.
The findings were published in the American Economic Journal: Applied Economics.
"Our research shows real impact associated with longer, more informative campaigns, and perhaps a reason why we are seeing candidates like Donald Trump and Bernie Sanders doing so well within their parties this late in the game," said Raphael Boleslavsky, assistant professor of economics at the University of Miami in the US.
"Candidates base their platforms on how to capture the majority of voters relative to their opponent so our research suggests that extremism is likely something we will see more as campaign cycles continue to get longer and longer," Boleslavsky noted.
According to the researchers, a shorter campaign cycle with less time for media saturation might allow voters to experience a greater balance of a candidate's policy positions and character.
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This would lead to better informed voters because of more attention on policy issues. Further, increasing the number of debates in an election cycle, according to the study, decreases the incentive for politicians to run on moderate platforms.
For this study, the authors developed a mathematical model of an election in which parties nominate candidates with policy preferences ahead of a campaign that produces information about their overall characteristics independent of policy.
The mathematical model used the tools of game theory, which allowed researchers to describe strategic situations and understand strategic incentives in a mathematically rigorous way.
They then solved the equations generated by the model, resulting in a robust prediction about the level of political extremism that political parties select, and how this level of extremism changes with the length of the political campaign.