Communicating sentiment and outlook reverses inaction against collective risks
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Significance: Collective risks trigger social dilemmas that require balancing selfish interests and common good. One important example is mitigating climate change, wherein without sufficient investments, worldwide negative consequences become increasingly likely. To study the social aspects of this problem, we organized a game experiment that reveals how group size, communication, and behavioral type drive prosocial action. We find that communicating sentiment and outlook leads to more positive outcomes, even among culturally heterogeneous groups. Although genuine free riders remain unfazed by communication, prosocial players better endure accumulated investment deficits, and thus fight off inaction as the failure looms. This suggests that climate negotiations may achieve more by leveraging existing goodwill than persuading skeptics to act.
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In multiplayer games, cheap talk and onymity sustain reciprocation.
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Communicating sentiment and outlook reverses inaction against collective risksPreprint
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Ingredient-guided multi-modal interaction and refinement network for RGB-D food nutrition assessment
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Effects of interdependent network reciprocity on the evolution of public cooperation
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Self-citationIdentify influential nodes in network of networks from the view of weighted information fusion
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- Authors
- Wang, Z., Jusup, M., Guo, H., Shi, L., Geček, S., Anand, M., Perc, M., Bauch, C. T., Kurths, J., Boccaletti, S., & Schellnhuber, H. J.
- Affiliations
- Northwestern Polytechnical University (CN)
- Tokyo Institute of Technology (JP)
- Statistics and Mathematics College, Yunnan University of Finance and Economics, Kunming 650221, China;
- Ruđer Bošković Institute (HR)
- University of Guelph (CA)
- China Medical University (TW)
- University of Waterloo (CA)
- Potsdam Institute for Climate Impact Research (DE)
- Moscow Institute of Physics and Technology (RU)
- Corresponding author
- Wang, Zhen
- Jusup, Marko
- Schellnhuber, Hans Joachim
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-07-15
- Volume
- 117
- Issue
- 30
- Pages
- 17650-17655
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC7395434
- OpenAlex
- W3042961264
- Cited by
- 185
- References
- 33
- Citations by year
- 2026: 21 · 2025: 39 · 2024: 66 · 2023: 28 · 2022: 13 · 2021: 17 · 2020: 1
- FWCI
- 20.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Maribor digital library (University of Maribor) (submittedVersion, cc-by)
- Institutional Repository of the Ruđer Bošković Institute (Ruđer Bošković Institute) (submittedVersion, cc-by)
- RENATE (submittedVersion, cc-by-nc-nd)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, cc-by)
- RENATE (cc-by)
- Funders
- National Natural Science Foundation of China (31700393, 81961138010, 11931015, 11671348, U1803263)
- Javna Agencija za Raziskovalno Dejavnost RS (J4-9302, P1-0403, J1-9112)
- Hrvatska Zaklada za Znanost (#IP-2018-01-3150-AqADAPT, IP-2018, IP-2018-01-3150, -2018-01-3150, IP-2018-01)
- Fundamental Research Funds for the Central Universities (3102019PJ006, U1803263, 81961138010)
- Topics
- Social Sciences › Safety Research › Experimental Behavioral Economics Studies
- Social Sciences › Sociology and Political Science › Evolutionary Game Theory and Cooperation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- collective action, free-riding, climate change mitigation, social dilemmas, investment behavior, group size, behavioral types, cooperation, altruism
- MeSH terms
- Behavior, Communication, Humans, Models, Theoretical, Climate Change
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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