2019
DOI: 10.1016/j.ijforecast.2018.07.011
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Crowdsourcing the vote: New horizons in citizen forecasting

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Cited by 9 publications
(14 citation statements)
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“…There is no support for either H 3 (general knowledge) or H 4 (date of interview). The latter null finding is particularly noteworthy, given that previous work has found this factor to be a significant predictor of correctly understanding the competitive circumstances of federal election races (Blais and Turgeon, 2004; Temparao et al, 2019). This could suggest that campaigns have different effects upon learning in municipal elections than they do at other orders of government.…”
Section: Resultsmentioning
confidence: 91%
See 1 more Smart Citation
“…There is no support for either H 3 (general knowledge) or H 4 (date of interview). The latter null finding is particularly noteworthy, given that previous work has found this factor to be a significant predictor of correctly understanding the competitive circumstances of federal election races (Blais and Turgeon, 2004; Temparao et al, 2019). This could suggest that campaigns have different effects upon learning in municipal elections than they do at other orders of government.…”
Section: Resultsmentioning
confidence: 91%
“…There is good reason to believe that voters are generally equipped to predict election winners, at least at the aggregate level. The idea of “wisdom of the crowds” or “citizen forecasting” (Murr, 2011) has found support in Canada (Temporao et al, 2019), as well as a variety of other settings, including the UK (Lewis-Beck and Stegmaier, 2011), Germany (Leiter et al, 2018) and the United States (Lewis-Beck and Tien, 1999). This research shows that citizens, at least in the aggregate, can predict election outcomes with a fair degree of accuracy.…”
Section: Voter Predictions and Perceptions Of Competitivenessmentioning
confidence: 99%
“…As more people answer, for example, "party X," this party's likelihood of winning is considered higher. Such an approach has frequently been applied elsewhere, including the United Kingdom, the United States, and -more recently-Canada (Temporão et al 2019) and Germany (Murr and Lewis-Beck 2022). Thus, it did not seem unreasonable to imagine that CF would work in France.…”
Section: Citizen Forecasting Methodologymentioning
confidence: 99%
“…The miracle of aggregation theorem is an example of the 'wisdom of crowds' (WOC) principle according to which groups take more enlightened decisions and show better judgment than any of their individual members taken separately (Simoiu et al, 2019;Surowiecki, 2004). This has been demonstrated repeatedly in the case of voters' expectations regarding election outcomes (see, e.g., Miller et al, 2012;Murr, 2017;Temporão et al, 2019). Studying individual-level predictors of forecasting ability is a useful endeavour if we want to extract the full potential of the WOC principle.…”
Section: Introductionmentioning
confidence: 92%