“The [search volume for a candidate] gives you an idea of how strong the campaign is,” Glauser says. “These are small software packages that analyse, for example, what people really search for on Google, Twitter and Facebook.”. The searches don’t reveal whether the information is for or against a candidate, or whether it’s used for research purposes rather than pure interest. The other team tweaked an established forecasting system, which is based on economic data and incumbency, by also evaluating a candidate’s charisma. If you have the attention, and you also get the active feedback of the users, you are likely to be more present in the minds of the voters.”. Antonakis, together with Philippe Jacquart, professor at Emlyon business school in France, predicted the election based on the candidate’s charisma. The present studies examine several aspects and consequences of the process of reading traits from faces. In two experiments, children and adults rated pairs of faces from election races. The Handbook presents up-to-date, concise, thought-provoking, innovative, and informative perspectives on charisma as it has been expressed in the past and as it continues to be manifested in the contemporary world by leaders ranging from shamans to presidents. Five days from the election, Glauser says both campaigns have increased their search volume, but not in ways that would change his team’s prediction of a Trump victory. But Antonakis couldn’t accept that the fate of governance rested on a person’s looksExternal link. Incumbent city councillors have an almost insurmountable advantage in Canadian municipal elections. An example of a pair of faces we used from the Meurthe-et-Moselle electoral district (number 1). L. A. Zebrowitz, J. Antonakis, together with Philippe Jacquart, professor at Emlyon business school in France, predicted the election based on the candidate’s charisma. Additionally, we address when and how social processes play a role and how attitudes towards vaccines might reflect a more general underlying attitude or ideology. “I did feel, seriously, like an idiot being about the sole person on the planet, perhaps one or two other research teams, that also said they think Trump would win [in 2016],” says John Antonakis, professor of organisational behavior at the University of Lausanne. Relating these perceptions to the categorizations made by participants in Study 1 showed that democratically elected leaders looked significantly more attractive and warmer (an average of likability and trustworthiness) than dictators did. john.antonakis@unil.ch The person on the left Imagine that you will now sail from Troy to Ithaca. But Trump has more charisma, according to Antonakis’ model, and comes out as the favourite there. Abundances of yellowfin and skipjack in the fishing area off Benguela (Angola) were estimated as catches-per-standard-unit-of-effort Glauser has been developing his method for about 20 years, using it to evaluate some 50 elections worldwide, he says. Trump, who has strong support from Southern voters, spoke to thousands in the small Mississippi city on the Gulf of Mexico. Who would you choose as the captain of your boat? Please use a modern web browser for a better experience. John Antonakis, a professor of Organisational Behaviour from Switzerland's Lausanne University, said the model's projection for 2020 put Trump ahead of Democratic challenger Joe Biden in the race for the White House. 2. He was born and raised in South Africa of Greek parents (Paul Antonakis and Irene Bardi) and is Swiss naturalized. better than chance (e.g., 68.8% of the Senate races in 2004) and also were linearly related to the margin of victory. Moreover, we do not find evidence that regional variation in corruption moderates the success of trustworthy-looking politicians. “I really thought that we had gotten something fundamentally wrong.” The problem with the polls John Antonakis is Professor of Organizational Behavior in the Faculty of Business and Economics of the University of Lausanne, Switzerland. –79.73% of LQ articles (between 1990‐2014) had one or endogeneity threats in testing mediation models (Antonakis et al., 2014, LQ) –In estimating mediation models, 74% of articles had endogenous predictors and 98% used wrong estimator (i.e., This content was published on Oct 24, 2020 According to Antonakis, while Trump has an advantage as the incumbent, tough economic expectations this year because of the coronavirus pandemic are giving Biden a slight advantage in the Fair model. Below is the full transcript of John’s TEDx Talk titled ‘Let’s Face It: Charisma Matters’ at TEDxLausanne conference. Unreliable polling “is why we started to develop API's (application programming interfaces) for analysing what users do on the Internet in terms of searches,” he says. Lausanne, 1015 Lausanne, Switzerland. He began making predictions three years ago and has since called about 10 elections. “But it’s not the oral form. Older children and adults stereotype based on facial attractiveness (Eagly, Ashmore, Makhijani & Longo, 1991; Langlois, Kalakanis, Rubenstein, Larson, Hallam & Smooth, 2000). Both teams’ models predicted Trump’s 2016 victory. Prediction market data were available for 26 of the last 29 elections. average, the probability of predicting an election result correctly was .72. Bull. 1. John Antonakis*, Olaf Dalgas University of Lausanne Faculty of Business and Economics Internef 618, Lausanne 1015 Switzerland *To whom correspondence should be addressed. Hall, N. A. Murphy, G. Rhodes, Pers. Two teams of researchers in Switzerland say their data models based on search frequency and speech analysis forecast a win for Republican President Donald Trump in the US elections on Tuesday. © 2008-2021 ResearchGate GmbH. Like adults, young infants prefer attractive to unattractive faces (e.g. Predictors of leadership: The usual suspects and the suspect traits . Survey respondents were asked to identify the two most competitive candidates in their local ward races. An American researcher at ETH Zurich outlines his journey to political involvement ahead of the upcoming US presidential election. Glauser, his research assistant Loris Schmid and Jacques Savoy, a professor of computer science at the University of Neuchâtel, led a team of scientists, economists, IT and data specialists and psychologists to develop a method of candidate evaluation based on internet searches and social media reach. 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