Result: Interactions between “nudge” exposure and regulator warning seem to result in various attitude and interest towards crypto. When crypto is framed as “practical investment”, users ignore the regulator warning and even gain attitude and interest; whereas when crypto is framed as “responsible investment”, users pay attention to the regulation warning and reduce attitude and interest. The respondent’s information literacy score has been controlled in the analysis. Moreover, even though only for those who clicked into the link, the results persist.
Preliminary observation: This pilot study demonstrates the feasibility of “nudge” and “counter-nudge” manipulations in a survey experimental design. which can lead to statistically significant results despite small and homogeneous sample. A large-scale study is warranted.
Exposure to ‘Responsible Investment’ nudge
Exposure to ‘Practical Investment’ nudge
https://apps.sfc.hk/edistributionWeb/gateway/EN/news-and-announcements/news/doc?refNo=24PR113
Tokencan company’s website
Interest: Do you agree that the company shown in the social media post is a reliable service provider?
Responsible - nudging of “responsible investment”
ilit_score - information literacy score
summary(lm(Attitude ~ link + responsible + link*responsible + ilt_score, data=a)) # outcome variable: attitude towards crypto
##
## Call:
## lm(formula = Attitude ~ link + responsible + link * responsible +
## ilt_score, data = a)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.24281 -0.24281 0.03359 0.34113 2.34113
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.91870 0.19498 14.969 <2e-16 ***
## link1 0.41072 0.19023 2.159 0.0325 *
## responsible1 0.30753 0.18245 1.686 0.0941 .
## ilt_score -0.08661 0.06542 -1.324 0.1877
## link1:responsible1 -0.54125 0.26591 -2.035 0.0437 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8 on 143 degrees of freedom
## Multiple R-squared: 0.04428, Adjusted R-squared: 0.01754
## F-statistic: 1.656 on 4 and 143 DF, p-value: 0.1635
summary(lm(Interest ~ link + responsible + link*responsible + ilt_score, data=a)) # outcome variable: interest in crypto
##
## Call:
## lm(formula = Interest ~ link + responsible + link * responsible +
## ilt_score, data = a)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7479 -0.6750 -0.2508 0.7379 2.2521
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 22.21698 0.24608 90.284 <2e-16 ***
## link1 0.38111 0.24009 1.587 0.1146
## responsible1 0.46327 0.23026 2.012 0.0461 *
## ilt_score 0.02254 0.08257 0.273 0.7853
## link1:responsible1 -0.61066 0.33561 -1.820 0.0709 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.01 on 143 degrees of freedom
## Multiple R-squared: 0.03184, Adjusted R-squared: 0.004754
## F-statistic: 1.176 on 4 and 143 DF, p-value: 0.3241