| Literature DB >> 34473349 |
Julia Schnepf1, Ursula Christmann2.
Abstract
At the beginning of the COVID-19 pandemic, governments around the world employed militaristic metaphors to draw attention to the dangers of the virus. But, do militaristic metaphors truly affect individuals' perceived threat of the COVID-19 virus and increase their support for corresponding restrictive policies? This study assessed the effects of fictitious newspaper articles that described COVID-19 policies using similarly negatively valenced metaphors but with differing militaristic connotations (e.g., "war" vs. "struggle"). Overall, data from three framing experiments (N = 1114) in Germany and the United States indicate limited evidence on the effectiveness of the tested militaristic metaphors. In the U.S. context, the non-militaristic concept of struggle was consistently more strongly associated with the desired outcomes than militaristic metaphors were. In Studies 2 and 3, we also tested whether reporting using a narrative or straightforward facts had additional influence on the framing effect. A congruency effect of the use of a narrative and of warfare metaphors was found in the German sample, but not in that of the United States. Results of post-experimental norming studies (N = 437) in both countries revealed that the metaphor of war is associated with people ascribing greater responsibility to their governments, whereas the concept of struggle triggers a sense of individual responsibility. These results are discussed in terms of the usefulness and appropriateness of militaristic metaphors in the context of a pandemic.Entities:
Keywords: COVID-19; Health communication; Metaphor framing; Policy support
Mesh:
Year: 2021 PMID: 34473349 PMCID: PMC8652818 DOI: 10.1002/ijop.12797
Source DB: PubMed Journal: Int J Psychol ISSN: 0020-7594
Descriptive characteristics of the metaphor framings used in the studies
| Valence | Arousal | Imageability | Dominance | Concreteness | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | M | SD | M | SD | M | SD | Frequency | Media salience | |
| Metaphor | ||||||||||||
| War |
1.41 2.23 |
0.88 1.58 |
5.84 6.27 |
3.01 2.20 | 6.15 | 1.48 | 3.27 | 2.66 | 5.71 | 1.76 | 10 | 24,037 hits |
| Krieg | −2.90 | 0.32 | 4.57 | 0.60 | 5.44 | 1.74 | N/A | N/A | 9 | 10,202 hits | ||
| Battle |
2.33 3.52 |
1.49 2.23 |
5.58 6.25 |
2.45 2.94 | 5.69 | 1.45 | 5.63 | 2.83 | 5.39 | 1.21 | 13 | 338,587 hits |
| Struggle |
2.85 3.00 |
1.46 1.82 |
4.58 5.90 |
2.45 2.20 | 4.15 | 1.67 | 3.67 | 2.37 | 3.73 | 2.45 | 19 | 436,106 hits |
| Ringen | N/A | 12 | 8908 hits | |||||||||
Word frequency information was obtained from the Leipzig Word Corpora project 2020 (https://corpora.uni‐leipzig.de/), lower values indicate higher frequency levels.
The data reflect the number of hits within the NexisLexis newspaper corpus for the Germany and the United States, respectively. The search was performed using the keywords FRAME+COVID‐19 and was conducted for the period between 1 January and 1 August 2020, as this corresponds to the project period.
Norming data for English concepts originate from the Glasgow Norms (Scott et al., 2019).
Norming data for English concepts originate from Warriner Norms (Warriner et al., 2013).
Norming data for German words originate from the Berlin Affective Word List (BAWL‐R, Võ et al., 2009).
Effect of framing type and party affiliation on dependent variables
| Fear of the virus | Perceived spread | |||
|---|---|---|---|---|
| M | SD | M | SD | |
| Metaphor framing | ||||
| Battle | 64.23 | 27.42 | 84.42 | 15.55 |
| Struggle | 69.39 | 25.64 | 87.35 | 13.36 |
|
| 1.32 | 3.97 | ||
|
| 0.010 | 0.028 | ||
| Party affiliation | ||||
| Democrats | 65.89 | 24.84 | 87.58 | 11.46 |
| Republicans | 69.06 | 29.67 | 82.88 | 18.69 |
|
| 0.349 | 4.60 | ||
|
| 0.003 | 0.032 | ||
| Metaphor framing × Party affiliation | ||||
| Battle, Democrats | 63.76 | 26.43 | 87.98 | 10.96 |
| Battle, Republicans | 65.24 | 30.09 | 76.81 | 20.79 |
| Struggle, Democrats | 67.90 | 23.36 | 87.21 | 12.02 |
| Struggle, Republicans | 72.04 | 29.57 | 87.59 | 15.70 |
|
| 0.078 | 5.28 | ||
|
| 0.001 | 0.037 | ||
p < .05.
**p < .01.
***p < .001.
Effects of framing type and reporting style on dependent variables not controlling for covariates (Study 2)
| Fear of the virus | Perceived spread | Support for restrictions | Prevention paradox | |||||
|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | M | SD | M | SD | |
| Metaphor framing | ||||||||
| War | 46.20 | 28.01 | 69.54 | 22.48 | 6.85 | 1.90 | 2.49 | 1.05 |
| Struggle | 43.62 | 29.10 | 66.11 | 25.73 | 6.60 | 2.10 | 2.55 | 1.19 |
|
| 1.02 | 2.43 | 2.01 | .40 | ||||
|
| 0.002 | 0.005 | 0.004 | 0.001 | ||||
| Reporting style | ||||||||
| Narrative | 44.09 | 28.81 | 68.74 | 23.13 | 6.78 | 2.06 | 2.53 | 1.17 |
| Fact‐focused | 45.78 | 28.33 | 66.97 | 25.18 | 6.67 | 1.94 | 2.51 | 1.06 |
|
| 0.46 | 0.62 | 0.31 | 0.04 | ||||
|
| 0.001 | 0.001 | 0.001 | <0.001 | ||||
| Metaphor framing × reporting style | ||||||||
| War, narrative | 45.84 | 28.45 | 70.77 | 21.41 | 7.10 | 1.85 | 2.44 | 1.06 |
| War, fact‐focused | 46.56 | 27.69 | 68.31 | 23.52 | 6.60 | 1.93 | 2.53 | 1.04 |
| Struggle, narrative | 42.28 | 29.19 | 66.64 | 24.70 | 6.46 | 2.23 | 2.61 | 1.28 |
| Struggle, fact‐focused | 44.97 | 29.08 | 65.58 | 26.83 | 6.74 | 1.97 | 2.49 | 1.09 |
|
| 0.12 | 0.09 | 4.46 | 0.98 | ||||
|
| <0.001 | <0.001 | 0.009 | 0.002 | ||||
Note: The pattern of effects remained the same when additional covariates were included (see Table S7 of online supplements).
p < .05.
**p < .01.
***p < .001.
Effects of framing type and reporting style on dependent variables not controlling for covariates (Study 3)
| Fear of the virus | Perceived spread | Support for restrictions | Prevention paradox | |||||
|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | M | SD | M | SD | |
| Metaphor framing | ||||||||
| War | 73.05 | 24.36 | 80.58 | 18.66 | 6.85 | 1.81 | 3.30 | 1.28 |
| Struggle | 73.01 | 26.87 | 85.07 | 15.76 | 7.43 | 1.56 | 3.16 | 1.20 |
|
| 0.001 | 4.45 | 9.16 | 2.29 | ||||
|
| <0.001 | 0.011 | 0.021 | 0.005 | ||||
| Reporting style | ||||||||
| Narrative | 71.99 | 27.56 | 81.91 | 18.23 | 7.16 | 1.60 | 3.14 | 1.23 |
| Fact‐focused | 73.86 | 24.11 | 83.83 | 16.50 | 7.16 | 1.79 | 3.30 | 1.25 |
|
| 0.05 | 0.91 | 1.69 | 1.30 | ||||
|
| 0.001 | 0.002 | 0.004 | 0.003 | ||||
| Metaphor framing × reporting style | ||||||||
| War, narrative | 72.50 | 26.58 | 78.37 | 20.27 | 6.87 | 1.73 | 3.31 | 1.16 |
| War, fact‐focused | 73.41 | 22.91 | 82.05 | 17.46 | 6.83 | 1.87 | 3.30 | 1.28 |
| Struggle, narrative | 71.63 | 28.37 | 84.44 | 16.26 | 7.37 | 1.47 | 3.03 | 1.27 |
| Struggle, fact‐focused | 74.33 | 25.42 | 85.68 | 15.31 | 7.49 | 1.65 | 3.29 | 1.27 |
|
| 0.001 | 1.61 | 0.09 | 2.22 | ||||
|
| <0.001 | 0.004 | <0.001 | 0.005 | ||||
Note: The pattern of effects remained the same when additional covariates were included (see Table S8 of online supplements).
p < .05.
p < .01.
***p < .001.
Figure 1Relative cell frequencies of government description.
Factor loadings of forced‐choice items (German sample)
| Factor loading | |||
|---|---|---|---|
| Item | 1 | 2 | 3 |
| Factor 1: Individual measures (Cronbach's | |||
| Acting out of a sense of personal responsibility to protect others |
| 0.073 | 0.051 |
| Individual concern for elderly and more fragile people |
| 0.014 | 0.169 |
| Social‐distancing rules as a safety mechanism when things return to normal |
| 0.140 | 0.229 |
| Mask‐wearing as a precautionary measure |
| 0.163 | 0.139 |
| Introduction of individual measures |
| 0.313 | 0.236 |
| Personal cancellation of social engagements |
| 0.456 | −0.112 |
| Increased testing to control the infection rate |
| 0.339 | 0.181 |
| Factor 2: Nation‐wide measures (Cronbach's | |||
| High penalties for breaking the rules during a pandemic | 0.085 |
| 0.162 |
| Extensive restrictions and bans | 0.259 |
| 0.209 |
| Restrictions of public life | 0.364 |
| 0.241 |
| Use of the military (e.g., Bundeswehr) for pandemic control | −0.015 |
| 0.439 |
| Introduction of nation‐wide measures | 0.392 |
| 0.336 |
| Factor 3: Situational uncontrollability (Cronbach's | |||
| Exponential increase of infections | 0.238 | 0.112 |
|
| Global occurrence of a disease/pandemic | 0.154 | 0.250 |
|
| Dealing with a deadly threat | 0.119 | 0.362 |
|
Note: Loadings greater than 0.50 are noted in bold.
Figure 2Mean differences of concept evaluations in the second evaluation task (German sample). Asterisks represent statistical significance at the Bonferroni‐adjusted significance level (p = .003).
Figure 3Mean differences of concept evaluations in the second evaluation task (U.S. sample). Asterisks represent statistical significance at the Bonferroni‐adjusted significance level (p = .003).
Results of the paired samples tests for concept evaluations (German sample)
| Mwar – Mstruggle | SD | |t| | p | |
|---|---|---|---|---|
| Negative – positive | −2.11 | 2.17 | 14.98 | <.001 |
| Threatening – harmless | −1.77 | 1.92 | 14.19 | <.001 |
| Militaristic – peaceful | −2.80 | 2.11 | 20.43 | <.001 |
| Inanimate – animate | −0.79 | 2.33 | 5.23 | <.001 |
| Difficult to imagine – easy to imagine | −1.40 | 2.62 | 8.20 | <.001 |
| Abstract – concrete | −0.56 | 2.73 | 3.14 | <.01 |
| Incomprehensible – comprehensible | −0.89 | 2.53 | 5.42 | <.001 |
Note: Bonferroni‐adjusted level of significance is p = .006.
Factor loadings of forced‐choice items (U.S. sample)
| Factor loading | ||||
|---|---|---|---|---|
| Item | 1 | 2 | 3 | 4 |
| Factor 1: Governmental‐level measures (Cronbach's | ||||
| Use of the military (e.g., the U.S. National Guard) for pandemic control |
| 0.105 | 0.001 | 0.135 |
| High penalties for breaking the rules during a pandemic |
| 0.049 | 0.396 | 0.177 |
| Introduction of nation‐wide measures |
| 0.335 | 0.179 | 0.155 |
| Extensive restrictions and bans |
| 0.201 | 0.416 | 0.123 |
| Dealing with a deadly threat |
| 0.131 | −0.055 | 0.518 |
| Factor 2: Preventive individual measures (Cronbach's | ||||
| Acting out of a sense of personal responsibility to protect others | 0.083 |
| 0.263 | 0.010 |
| Mask‐wearing as a precautionary measure | 0.396 |
| 0.199 | −0.088 |
| Increased testing to control the infection rate | 0.468 |
| 0.008 | 0.122 |
| Individual concern for elderly and more fragile people | −0.099 |
| 0.086 | 0.358 |
| Introduction of individual measures | 0.212 |
| 0.469 | 0.039 |
| Factor 3: Reactive individual measures (Cronbach's | ||||
| Personal cancellation of social engagements | −0.033 | 0.262 |
| 0.186 |
| Restrictions of public life | 0.500 | 0.089 |
| 0.020 |
| Social‐distancing rules when things return to normal | 0.437 | 0.311 |
| 0.013 |
| Factor 4: Situational uncontrollability (Cronbach's | ||||
| Exponential increase of infections | 0.084 | 0.045 | 0.150 |
|
| Global occurrence of a disease | 0.245 | 0.088 | 0.058 |
|
Note: Loadings greater than 0.50 are noted in bold.
Results of the paired samples tests for concept evaluations (U.S. sample)
| Mwar – Mstruggle | SD | |t| | p | |
|---|---|---|---|---|
| Negative – positive | −0.460 | 1.85 | 3.52 | .001 |
| Threatening – harmless | −1.15 | 1.81 | 8.99 | <.001 |
| Militaristic – peaceful | −1.88 | 2.15 | 2.18 | <.001 |
| Inanimate – animate | −0.05 | 2.04 | 0.35 | .729 |
| Difficult to imagine – easy to imagine | −0.17 | 1.99 | 1.24 | .216 |
| Abstract – concrete | 0.39 | 2.37 | 2.32 | .021 |
| Incomprehensible – comprehensible | −0.19 | 1.82 | 1.52 | .131 |
Note: Bonferroni‐adjusted level of significance is p = .006.