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Weight-of-Evidence Strategies to Mitigate the Influence of Messages of Science Denialism in Public Discussions Cover

Weight-of-Evidence Strategies to Mitigate the Influence of Messages of Science Denialism in Public Discussions

Open Access
|Oct 2020

Figures & Tables

joc-3-1-125-g1.png
Figure 1

Weight-of-evidence strategies in public discussions. The displayed materials represent the weight-of-evidence strategies outnumbering and forewarning as used in the respective experiments. Following the social-cue mechanism of outnumbering, the number of science advocates and deniers varied between conditions (3:3 vs. 5:1) in all experiments. Following the additional multiple-source mechanism, all guests in the discussion contributed as speakers in Experiment 3. The presented forewarning text is a translated version of the original German forewarning used in Experiments 2 and 3.

Table 1

Overview of outcome measures. Reliability of multiple-item scales is indicated by Cronbach’s alpha; numbers behind alphas relate to the respective experiments. All outcome measures were converted into percentages of maximum possible scores of the original scales (POMP), with higher values indicating a more positive attitude, greater confidence in vaccination and stronger intention.

ConstructIncl.Scale typeWordingSource
attitude towards vaccinationExp. 1–3mean score of 5-point rating scales (α1pre = .72; α1post = .85; α2pre = .81; α2post = .86; α3pre = .84; α3post = .88)Please indicate how much you agree with the following statements.
1. Vaccinating against dysomeria is necessary.
2. Vaccinating against dysomeria is a good idea.
3. Vaccinating against dysomeria is beneficial.
(1 = I strongly disagree, 5 = I strongly agree)
(Schmid & Betsch, 2019)
intention to get vaccinatedExp. 1–3visual analog scaleIf you had the opportunity to get vaccinated against dysomeria, what would you do?
(1 = I will definitely not get vaccinated, 100 = I will definitely get vaccinated)
(Schmid & Betsch, 2019)
confidence in vaccinationExp. 2–3mean score of 5-point rating scales
(α2pre = .71; α2post = .83; α3pre = .77; α3post = .85)
Please indicate how much you agree with the following statements.
1. Vaccination against dysomeria is effective.
2. I am completely confident that the vaccine against dysomeria is safe.
3. Regarding the vaccine against dysomeria, I am confident that public authorities decide in the best interest of the community.
(1 = I strongly disagree, 5 = I strongly agree)
(Betsch et al., 2018)
Table 2

Weight-of-evidence strategies’ effects on changes in attitude. The results presented in Tables 2–4 are based on a 2 (rebuttal vs. advocate silent; between subjects) × 2 (outnumbering 5:1 vs. equal proportion of discussants 3:3; between subjects) × 2 (forewarning vs. no forewarning) × 2 (measurement before vs. after the debate; within subjects) repeated-measures ANOVA (Type II sum of squares). Significant effects are shown in boldface for the significance level of p < 0.05.

AttitudeExperiment 1
n = 101
Experiment 2
n = 390
Experiment 3
n = 396
EffectsFpη2pFpη2pFpη2p
Time99.16<.001.506165.42<.001.302132.11<.001.254
Rebuttal × Time10.01.002.09424.13<.001.05950.91<.001.116
Outnumbering × Time0.11.737.0010.27.605.0012.10.148.005
Forewarning × Time7.52.006.0191.11.293.003
Rebuttal × Outnumbering × Time4.68.033.0460.02.883<.0012.83.093.007
Rebuttal × Forewarning × Time0.47.495.0010.16.687<.001
Outnumbering × Forewarning × Time1.40.239.0040.02.886<.001
Rebuttal × Outnumbering × Forewarning × Time0.54.462.0013.37.067.009
Table 3

Weight-of-evidence strategies’ effects on changes in intention. Significant effects are shown in boldface for the significance level of p < 0.05.

IntentionExperiment 1
n = 101
Experiment 2
n = 390
Experiment 3
n = 396
EffectsFpη2pFpη2pFpη2p
Time43.98<.001.312156.64<.001.29192.10<.001.192
Rebuttal × Time3.65.059.03632.37<.001.07857.58<.001.129
Outnumbering × Time0.19.661.0020.15.703<.0012.44.119.006
Forewarning × Time14.75<.001.0376.92.009.018
Rebuttal × Outnumbering × Time3.36.070.0330.03.868<.0010.03.865<.001
Rebuttal × Forewarning × Time<0.01.948<.0010.60.441.002
Outnumbering × Forewarning × Time0.03.864<.0011.11.293.003
Rebuttal × Outnumbering × Forewarning × Time0.07.790<.0010.25.615.001
joc-3-1-125-g2.png
Figure 2

Effects from outnumbering on damage from science denialism in public discussions in Experiment 1. The results reveal that outnumbering mitigated the damage from denialism only if a rebuttal was delivered. The y-axes represent mean changes in attitude (left graph) and in intention (right graph) in POMP values. Descriptive data are provided in Supplementary Tables 2–4. The x-axes represent experimental conditions. Error bars represent 95% CIs. Dots indicate changes in individual participants’ attitudes and intentions.

Table 4

Weight-of-evidence strategies’ effects on changes in confidence. Significant effects are shown in boldface for the significance level of p < 0.05.

ConfidenceExperiment 2
n = 390
Experiment 3
n = 396
EffectsFpη2pFpη2p
Time96.20<.001.20161.59<.001.137
Rebuttal × Time46.15<.001.10870.75<.001.154
Outnumbering × Time1.35.246.0040.81.369.002
Forewarning × Time10.44.001.0278.76.003.022
Rebuttal × Outnumbering × Time1.72.190.0040.03.853<.001
Rebuttal × Forewarning × Time2.27.132.0060.04.949<.001
Outnumbering × Forewarning × Time0.04.849<.0011.14.287.003
Rebuttal × Outnumbering × Forewarning × Time0.49.485.0012.21.138.006
joc-3-1-125-g3.png
Figure 3

Effects from outnumbering and forewarning on damage from science denialism in public discussions in Experiment 2. The results reveal a significant mitigation in damage from denialism on all outcome measures when forewarning was used. The mitigating effect was not a function of whether the advocate uses a rebuttal or remains silent. Comparison of the lower (3:3) and upper (5:1) panels reveals no evidence that outnumbering mitigated the damage from denialism on any outcome measure. The y-axes represent mean changes in attitude (left graph), intention (centre graph) and confidence (right graph) in POMP values. Descriptive data are provided in Supplementary Tables 2–4. The x-axes represent experimental conditions. Error bars represent 95% CIs. Dots indicate changes in individual participants’ outcome measures.

joc-3-1-125-g4.png
Figure 4

Effects from outnumbering and forewarning on damage from science denialism in public discussions in Experiment 3. Results reveal a significant mitigation of damage from denialism in individuals’ intention to get vaccinated and confidence in vaccination when forewarning was used. The mitigating effect was not a function of whether the advocate uses a rebuttal or remains silent. Comparison of the lower (3:3) and upper (5:1) panels reveals no evidence that outnumbering mitigated the damage from denialism on any outcome measure. The y-axes represent mean changes in attitude (left graph), intention (centre graph) and confidence (right graph) in POMP values. Descriptive data are provided in Supplementary Tables 2–4. The x-axes represent experimental conditions. Error bars represent 95% CIs. Dots indicate individual changes in individual participants’ outcome measures.

DOI: https://doi.org/10.5334/joc.125 | Journal eISSN: 2514-4820
Language: English
Submitted on: Dec 10, 2019
|
Accepted on: Sep 8, 2020
|
Published on: Oct 1, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Philipp Schmid, Marius Schwarzer, Cornelia Betsch, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.