hypothesized direction (t398 = 4.66; .01). Similarly, the decline in perceptions of p ≤ politicization in comparing the pure control in the CNT study (5.16) with the accuracy motivation and correction (4.67) is statistically significant and in the expected direction (t371 = 8.47; .01). We also found that the correction by itself lowered perceptions of a technology’s p ≤ politicization, which was counter to our expectation (See hypothesis 4, Table 2). We also correlated these technology specific politicization measures with a general politicization of science measure. While we find that the domain specific scores significantly correlate with the general measure (for fracking, = .29; .01; for CNTs, = .23; .01), the modest size of the r p r p ≤ ≤ correlations suggests that politicization is a domain specific dynamic. Table A8: Request for Additional Information [See note 16 in the main text for a discussion of the results] Condition Fracking CNTs Pure control 43% 43% (N=186) (N=206) Scientific 7% 9% Information (N=189) (N=194) Politicized 56% 73% Scientific (N=190) (N=192) Information Warning + 21% 20% Politicized scientific (N=185) (N=196) information Politicized scientific 40% 48% information + (N=213) (N=203) correction Acc. motivation + 38% 39% politicized sci. info (N=189) (N=196) + correction This reports the percentage of respondents in each condition who requested to be re-contacted via email with additional information about the technology in each study. Results for Additional Experimental Conditions (See note 13):
hypothesized direction (t398 = 4.66; p ≤ .01). Similarly, the decline in perceptions of politicization in comparing the pure control in the CNT study (5.16) with the accuracy motivation and correction (4.67) is statistically significant and in the expected direction (t371 = 8.47; p ≤ .01). We also found that the correction by itself lowered perceptions of a technology’s politicization, which was counter to our expectation (See hypothesis 4, Table 2). We also correlated these technology specific politicization measures with a general politicization of science measure. While we find that the domain specific scores significantly correlate with the general measure (for fracking, r = .29; p ≤ .01; for CNTs, r = .23; p ≤ .01), the modest size of the correlations suggests that politicization is a domain specific dynamic. Table A8: Request for Additional Information [See note 16 in the main text for a discussion of the results] Condition Fracking CNTs Pure control 43% (N=186) 43% (N=206) Scientific Information 7% (N=189) 9% (N=194) Politicized Scientific Information 56% (N=190) 73% (N=192) Warning + Politicized scientific information 21% (N=185) 20% (N=196) Politicized scientific information + correction 40% (N=213) 48% (N=203) Acc. motivation + politicized sci. info + correction 38% (N=189) 39% (N=196) This reports the percentage of respondents in each condition who requested to be re-contacted via email with additional information about the technology in each study. Results for Additional Experimental Conditions (See note 13):
Bolsen%20Druckman%20JComm%202015%20Appendix.docx