TAKING THE FUTURE INTO THEIR OWN HANDS
Climate Change |
Automation |
Income Inequality |
#MeToo |
Paris, February 2019 |
Angers, August 2019 |
London, November 2019 |
Oregon, December 2019 |
Students protest |
Unions protest a |
McDonald’s |
Nike employees |
to draw attention |
Géant automated |
employees protest |
protest company’s |
to climate change |
supermarket |
for higher wages |
treatment of women |
18
TRUST IS BUILT ON
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COMPETENCE AND ETHICS
NO INSTITUTION SEEN AS |
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BOTH COMPETENT |
ETHICAL |
AND ETHICAL |
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(Competence score, net ethical score) |
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NGOs 
(-4, 12)
LESS COMPETENT - 50 |
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50 COMPETENT |
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Business |
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Media |
(14, -2) |
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(-17, -7) |
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Government |
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(-40, -19) |
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-35 UNETHICAL
2020 Edelman Trust Barometer. The ethical scores are averages of nets based on [INSTITUTION]_PER_DIM r1-r4. Question asked of half of the sample. The competence score is a net based |
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on TRU_3D _[INSTITUTION] r1. Depending on the question it was either asked of the full of half the sample. General population, 25-mkt avg. Data not collected in China, Russia and Thailand. |
20 |
For full details regarding how this data was calculated and plotted, please see the Technical Appendix. |
ONLY BUSINESS
SEEN AS COMPETENT |
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ETHICAL |
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(Competence score,* net ethical score) |
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*This institution is |
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good at what it does |
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NGOs |
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(-4, 12) |
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LESS COMPETENT - 50 |
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50 |
COMPETENT |
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Business |
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(14, -2) |
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Business doing best at: |
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Media |
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(-17, -7) |
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Generating value for owners |
56 |
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Being the engine of innovation |
51 |
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Government |
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Driving economic prosperity |
51 |
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(-40, -19) |
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-35 |
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UNETHICAL |
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2020 Edelman Trust Barometer. The ethical scores are averages of nets based on [INSTITUTION]_PER_DIM r1-r4. Question asked of half of the sample. The competence score is a net based |
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on TRU_3D _[INSTITUTION] r1. Depending on the question it was either asked of the full of half the sample. PER_GOV. How well do you feel government is currently doing each of the |
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following? 5-point scale; top 2 box, doing well. Question asked of half of the sample. General population, 25-mkt avg. Data not collected in China, Russia and Thailand. For full details regarding |
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21 |
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how this data was calculated and plotted, please see the Technical Appendix. |
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