Ma, L. & Liu, L. How leadership behaviors affect the performance of government short-form videos?- survey evidence from Douyin. J. Gansu Adm. Inst., 14–22 (2021).
Rogowski, M., Zawilińska, B. & Hibner, J. Managing tourism pressure: exploring tourist traffic patterns and seasonality in mountain National parks to alleviate overtourism effects. J. Environ. Manage. 373, 123430. https://doi.org/10.1016/j.jenvman.2024.123430 (2025).
Fienitz, M., Busse, M., Fienitz, M. & Heiland, S. Analysing the impact of communication and public participation on the acceptability of Germany’s black forest National park. J. Nat. Conserv. 67, 126155. https://doi.org/10.1016/j.jnc.2022.126155 (2022).
Theodorou, A. et al. Emotion regulation and virtual nature: cognitive reappraisal as an individual-level moderator for impacts on subjective vitality. Sci. Rep. 13, 5028. https://doi.org/10.1038/s41598-023-30287-7 (2023).
Wichman, C. J. Social media influencesnational park visitation. Proceedings of the National Academy of Sciences 121, e2310417121, (2024). https://doi.org/10.1073/pnas.2310417121
Souza, C. N. et al. Using social media and machine learning to understand sentiments towards Brazilian National parks. Biol. Conserv. 293, 110557. https://doi.org/10.1016/j.biocon.2024.110557 (2024).
Zou, S., Moran, C., Pitas, N. A. & Stewart, W. The role of moral philosophy in shaping visitors’ fairness perceptions of recreation fees: a case study of Indiana dunes National park in the U.S. Environ. Sci. Policy. 154, 103682. https://doi.org/10.1016/j.envsci.2024.103682 (2024).
de Avila Batista, G. & De Marco, P. Mis) perception of environmental laws: modeling challenges based on information source preferences. Environ. Impact Assess. Rev. 103, 107244. https://doi.org/10.1016/j.eiar.2023.107244 (2023).
Zhu, D. et al. The influence of psychological cognition and policy environment on the basin residents’ behavior of ecological compensation under the background of carbon neutrality: a case study in upper yellow river basin, China. Ecol. Indic. 148, 110031. https://doi.org/10.1016/j.ecolind.2023.110031 (2023).
Lin, T. T. C. Communicating haze crisis online: comparing traditional media news and new media perspectives in Singapore. Environ. Communication. 13, 864–878. https://doi.org/10.1080/17524032.2018.1488754 (2019).
Lovejoy, K. & Saxton, G. D. Information, community, and action: how nonprofit organizations use social media*. J. Comput. -Mediat Commun. 17, 337–353. https://doi.org/10.1111/j.1083-6101.2012.01576.x (2012).
Siegel, L. A., Tussyadiah, I. & Scarles, C. Exploring behaviors of social media-induced tourists and the use of behavioral interventions as salient destination response strategy. J. Destin Mark. Manag. 27, 100765. https://doi.org/10.1016/j.jdmm.2023.100765 (2023).
Montoya, A. et al. Influencers in policy fields on social media: global longitudinal study of dietary sodium reduction posts, 2006–2022. J. Med. Internet Res. 26, e54506. https://doi.org/10.2196/54506 (2024).
Hopkinson, N. S. et al. Association of time spent on social media with youth cigarette smoking and e-cigarette use in the UK: a National longitudinal study. Thorax 220569 https://doi.org/10.1136/thorax-2023-220569 (2024). thorax-2023-.
Kim, J., Zhang, Y. & Borah, P. Second-level agenda-setting effects of news media and public policy on social media discourse across platforms: immigration during the COVID-19 pandemic in the U.S. Inform. Communication Soc. 1–22. https://doi.org/10.1080/1369118X.2024.2380759 (2024).
Carandell Baruzzi, M. The first American scoop: the Pedra Furada controversy in newspapers (1978–2015). Centaurus 58, 239–256. https://doi.org/10.1111/1600-0498.12120 (2016).
Pickering, C. M. & Norman, P. Assessing discourses about controversial environmental management issues on social media: tweeting about wild horses in a National park. J. Environ. Manage. 275, 111244. https://doi.org/10.1016/j.jenvman.2020.111244 (2020).
Carrus, G., Cini, F., Bonaiuto, M. & Mauro, A. Local mass media communication and environmental disputes: an analysis of press communication on the designation of the Tuscan Archipelago National park in Italy. Soc. Nat. Resour. 22, 607–624. https://doi.org/10.1080/08941920802112734 (2009).
Sundar, S. S. et al. Sharing without clicking on news in social media. Nat. Hum. Behav. 9, 156–168. https://doi.org/10.1038/s41562-024-02067-4 (2025).
Garoufalia, Z. & Pellino, G. Social media as a disruptor for academic congresses. Surgery 174, 1087–1091. https://doi.org/10.1016/j.surg.2023.06.015 (2023).
Foell, J. Social media science communication is a nonstop academic conference for all. Nat. Hum. Behav. 5, 812–812. https://doi.org/10.1038/s41562-021-01138-0 (2021).
Chowdhury, S. et al. Insights from citizen science reveal priority areas for conserving biodiversity in Bangladesh. One Earth. 6, 1315–1325. https://doi.org/10.1016/j.oneear.2023.08.025 (2023).
León, B., Negredo, S. & Erviti, M. C. Social engagement with climate change: principles for effective visual representation on social media. Clim. Policy. 22, 976–992. https://doi.org/10.1080/14693062.2022.2077292 (2022).
Gunster, S. Connective action, digital engagement and network-building: a year in the life of Canadian climate Facebook. Environ. Communication. 16, 645–663. https://doi.org/10.1080/17524032.2022.2027802 (2022).
Thorp, H. H. Public debate is good for science. Science 371, 213–213. https://doi.org/10.1126/science.abg4685 (2021).
Correia, R. A., Jepson, P., Malhado, A. C. M. & Ladle, R. J. Culturomic assessment of Brazilian protected areas: exploring a novel index of protected area visibility. Ecol. Indic. 85, 165–171. https://doi.org/10.1016/j.ecolind.2017.10.033 (2018).
Fu, W. & Zhou, B. Theme exploration and sentiment analysis of online reviews of Wuyishan National park. Land 13, 629 (2024).
Vince, J., Praet, E., Schofield, J. & Townsend, K. Windows of opportunity’: exploring the relationship between social media and plastic policies during the COVID-19 pandemic. Policy Sci. 55, 737–753. https://doi.org/10.1007/s11077-022-09479-x (2022).
Callens, C. User involvement as a catalyst for collaborative public service innovation. J. Public Adm. Res. Theor. 33, 329–341. https://doi.org/10.1093/jopart/muac030 (2023).
Mergel, I. Social media adoption and resulting tactics in the U.S. Federal government. Government Inform. Q. 30, 123–130. https://doi.org/10.1016/j.giq.2012.12.004 (2013).
Forti, L. R. et al. Posts supporting anti-environmental policy in Brazil are shared more on social media. Environ. Manage. 71, 1188–1198. https://doi.org/10.1007/s00267-022-01757-x (2023).
She, J. et al. Which social media posts generate the most buzz? Evidence from WeChat. Internet Res. 32, 273–291. https://doi.org/10.1108/INTR-12-2019-0534 (2022).
Wilkins, E. J., Howe, P. D. & Smith, J. W. Social media reveal ecoregional variation in how weather influences visitor behavior in U.S. National park service units. Sci. Rep. 11, 2403. https://doi.org/10.1038/s41598-021-82145-z (2021).
Bandura, A. Organisational applications of social cognitive theory. Aust. J. Manage. 13, 275–302. https://doi.org/10.1177/031289628801300210 (1988).
, A. G. J &, S. N. S M Air pollution perception for air quality management: a systematic review exploring research themes and future perspectives. Environ. Res. Lett. 19 (053002). https://doi.org/10.1088/1748-9326/ad3bd0 (2024).
Young, M. M. The impact of technological innovation on service delivery: social media and smartphone integration in a 311 system. Public. Manag Rev. 24, 926–950. https://doi.org/10.1080/14719037.2021.1877794 (2022).
Arroyave, F. J., Jenkins, J., Shackelton, S., Jackson, B. & Petersen, A. M. Research alignment in the U.S. National park system: impact of transformative science policy on the supply and demand for scientific knowledge for protected area management. J. Environ. Manage. 357, 120699. https://doi.org/10.1016/j.jenvman.2024.120699 (2024).
Armstrong, M., Petter, R. & Petter, C. Going viral: how attacks in social media can erode confidence in mining. The Samarco-yellow fever example from Brazil. Resour. Policy. 59, 340–350. https://doi.org/10.1016/j.resourpol.2018.08.006 (2018).
Schäfer, S. & Schemer, C. Informed participation? An investigation of the relationship between exposure to different news channels and participation mediated through actual and perceived knowledge. Front. Psychol. 14 https://doi.org/10.3389/fpsyg.2023.1251379 (2024).
Baas, L. & Hjelm, O. Support your future today: enhancing sustainable transitions by experimenting at academic conferences. J. Clean. Prod. 98, 1–7. https://doi.org/10.1016/j.jclepro.2015.02.059 (2015).
Gould, S. J. Take another look. Science 286, 899–899. https://doi.org/10.1126/science.286.5441.899 (1999).
Parsons, E. C. M., Shiffman, D. S., Darling, E. S., Spillman, N. & Wright, A. J. How Twitter literacy can benefit conservation scientists. Conserv. Biol. 28, 299–301. https://doi.org/10.1111/cobi.12226 (2014).
Raby, C. L. et al. An inclusive venue to discuss behavioural biology research: the first global Animal Behaviour Twitter Conference. Animal Behaviour 187, 191–207, (2022). https://doi.org/10.1016/j.anbehav.2022.02.015
Kim, Y. & Kim, B. How do the news media, academia, and the public view the metaverse? Evidence from South Korea. Technol. Forecast. Soc. Chang. 198, 122980. https://doi.org/10.1016/j.techfore.2023.122980 (2024).
Badullovich, N., Grant, W. J. & Colvin, R. M. Framing climate change for effective communication: a systematic map. Environ. Res. Lett. 15, 123002. https://doi.org/10.1088/1748-9326/aba4c7 (2020).
Luzón, M. J. & Albero-Posac, S. ‘Had a lovely week at #conference2018’: an analysis of interaction through conference Tweets. RELC Journal 51, 33–51, (2020). https://doi.org/10.1177/0033688219896862
Mergel, I. A framework for interpreting social media interactions in the public sector. Government Inform. Q. 30, 327–334. https://doi.org/10.1016/j.giq.2013.05.015 (2013).
Criado, J. I. & Villodre, J. Delivering public services through social media in European local governments. An interpretative framework using semantic algorithms. Local. Gov. Stud. 47, 253–275. https://doi.org/10.1080/03003930.2020.1729750 (2020).
Moon, M. J. Evolution of co-production in the information age: crowdsourcing as a model of web-based co-production in Korea. Policy Soc. 37, 294–309. https://doi.org/10.1080/14494035.2017.1376475 (2018).
Tyner, E. H. & Graham, S. S. Tweeting the Laurentian great lakes: a community opinion analysis about great lakes areas as assessed through mentions on Twitter. J. Gt Lakes Res. 48, 1444–1453. https://doi.org/10.1016/j.jglr.2022.03.013 (2022).
Wang, P. & Lai, X. A study on the model and mechanism of public policy diffusion in China. J. Peking University(Philosophy Social Sciences). 50, 14–23 (2013).
Chai, B. & Shi, C. The policy-making mode under the CPC’s leadership system: based on the perspective of subject, structure and hierarchy. Chin. Public. Adm. 100–108. https://doi.org/10.19735/j.issn.1006-0863.2022.02.12 (2022).
Men, Y., Yan, Y., Zhao, J. & Chagn, D. Research hotspots and progress of digital government in China-an overview of the academic perspectives on the 2023 first digital government 40 forum. J. Public. Manage. 20, 155–163. https://doi.org/10.16149/j.cnki.23-1523.2023.03.002 (2023).
Liu, X., Hou, K. & Zhang, M. From local exploration to central promotion:the influence mechanism of government innovation diffusion-a crisp-set qualitative comparative analysis of 36 cases. J. Public. Manage. 16, 157–167. https://doi.org/10.16149/j.cnki.23-1523.20190520.002 (2019).
Zhang, N., Zheng, X. & Zhao, Q. Government responsiveness: the ‘all-responsive’ model as everyday governance – an empirical analysis of local government services’ ready-to-access based on LDA thematic modelling. Chin. Public. Adm. 68–78. https://doi.org/10.19735/j.issn.1006-0863.2023.03.08 (2023).
Mauerhofer, V. A bottom-up ‘Convention-Check’ to improve top-down global protected area governance. Land. Use Policy. 28, 877–886. https://doi.org/10.1016/j.landusepol.2011.03.004 (2011).
Isaac, R., Hofmann, J., Koegst, J., Schleyer, C. & Martín-López, B. Governing anthropogenic assets for Nature’s contributions to people in forests: a policy document analysis. Environ. Sci. Policy. 152, 103657. https://doi.org/10.1016/j.envsci.2023.103657 (2024).
Morf, A., Sandström, A. & Jagers, S. C. Balancing sustainability in two pioneering marine National parks in Scandinavia. Ocean. Coastal. Manage. 139, 51–63. https://doi.org/10.1016/j.ocecoaman.2017.01.002 (2017).
Duan, Y., Shang, T. & Zhou, M. Analysis on the characteristics and subjects of China’ s government big data policy diffusion. Libr. Inform. Service. 64, 133–139. https://doi.org/10.13266/j.issn.0252-3116.2020.13.017 (2020).
Atad, E., Lev-On, A. & Yavetz, G. Diplomacy under fire: engagement with governmental versus non-governmental messages on social media during armed conflicts. Government Inform. Q. 40, 101835. https://doi.org/10.1016/j.giq.2023.101835 (2023).
Tang, Z. & Zhou, W. Research on the promotion path of local government’s WeChat service capability. J. Intell. 39, 126–133 (2020).
Müller, M. Spreading the word? European union agencies and social media attention. Government Inform. Q. 39, 101682. https://doi.org/10.1016/j.giq.2022.101682 (2022).
Wu, V. C. S. Beyond policy patrons: A ‘MADE’ framework for examining public engagement efforts of philanthropic foundations on Twitter. Public. Manag Rev. 25, 549–574. https://doi.org/10.1080/14719037.2021.1982328 (2023).
Zhao, Y., Zhao, Z., Feng, T. & Tao, K. Big data development, institutional environment and government governance efficiency. J. Manage. World. 35, 119–132. https://doi.org/10.19744/j.cnki.11-1235/f.2019.0152 (2019).
Rao, A., Kumar, S. & Karim, S. Accelerating renewables: unveiling the role of green energy markets. Appl. Energy. 366, 123286. https://doi.org/10.1016/j.apenergy.2024.123286 (2024).
Gu, L. & Li, H. Comparison on three typicalmodes of urban digital transformation in China-take Shanghai,Shenzhen and Chengdu as examples. J. Public. Manage. 20, 53–63. https://doi.org/10.16149/j.cnki.23-1523.20230518.001 (2023).
Liu, J. Regional digital divide, technology-led failure, policy localization: analysis of Spatial characteristics of urban digital governance capability. J. Huaqiao University(Philosophy Social Sciences). 74–86. https://doi.org/10.16067/j.cnki.35-1049/c.2022.06.011 (2022).
Yochim, M. J. & Lowry, W. R. Creating conditions for policy change in National parks: contrasting cases in Yellowstone and Yosemite. Environ. Manage. 57, 1041–1053. https://doi.org/10.1007/s00267-016-0677-3 (2016).
Boćkowski, M. D. et al. Ecosystem services approach in Turnicki National park planning: factors influencing the inhabitants’ perspectives on local natural resources and protected areas. Environ. Manage. 74, 547–563. https://doi.org/10.1007/s00267-024-02016-x (2024).
Scott, W. R. Approaching adulthood: the maturing of institutional theory. Theory Soc. 37, 427–442. https://doi.org/10.1007/s11186-008-9067-z (2008).
Ferretti-Gallon, K., Griggs, E., Shrestha, A. & Wang, G. National parks best practices: lessons from a century’s worth of National parks management. Int. J. Geoheritage Parks. 9, 335–346. https://doi.org/10.1016/j.ijgeop.2021.05.004 (2021).
Schwartz, M. W., Redford, K. H. & Leslie, E. F. Fitting the US National Park Service for Change. BioScience 69, 651–657, (2019). https://doi.org/10.1093/biosci/biz071
Arroyave, F. J., Jenkins, J. & Petersen, A. M. Network embedding for Understanding the National park system through the lenses of news media, scientific communication, and biogeography. Annals Am. Association Geographers. 114, 1795–1804. https://doi.org/10.1080/24694452.2023.2277808 (2024).
Toupin, R. et al. Measuring engagement with shark research in science, news and social media, and policy: a bibliometric analysis. Mar. Pol. 157, 105829. https://doi.org/10.1016/j.marpol.2023.105829 (2023).
Mangachena, J. R. & Pickering, C. M. Implications of social media discourse for managing National parks in South Africa. J. Environ. Manage. 285, 112159. https://doi.org/10.1016/j.jenvman.2021.112159 (2021).
Cusick, J. A. et al. Is it time to get over the X? Assessing the global impact and future of social media conferences in animal behaviour. Animal Behaviour 213, 33–50, (2024). https://doi.org/10.1016/j.anbehav.2024.04.001
Wei, Y., Gong, P., Zhang, J. & Wang, L. Exploring public opinions on climate change policy in big data Era—a case study of the European union emission trading system (EU-ETS) based on Twitter. Energy Policy. 158, 112559. https://doi.org/10.1016/j.enpol.2021.112559 (2021).
Yousefpour, R., Mayaux, J., Lhoest, S. & Vermeulen, C. The complexity of the conservation-development nexus in central African National parks and the perceptions of local populations. J. Nat. Conserv. 66, 126150. https://doi.org/10.1016/j.jnc.2022.126150 (2022).
Gevrek, Z. E. & Uyduranoglu, A. Public preferences for carbon tax attributes. Ecol. Econ. 118, 186–197. https://doi.org/10.1016/j.ecolecon.2015.07.020 (2015).
Hoffman, D. M., Gomez-Melendez, A., Arends, J., Dehler, S. & Miller, D. S. Understanding migration to protected area buffer zones in Costa Rica utilizing cultural consensus analysis. Ecol. Soc. 27 https://doi.org/10.5751/ES-13529-270416 (2022).
Peng, Y. & Tao, C. Can digital transformation promote enterprise performance? —From the perspective of public policy and innovation. J. Innov. Knowl. 7, 100198. https://doi.org/10.1016/j.jik.2022.100198 (2022).
Eid, M. A. H., Dandis, A. O., Cathro, V. & Parackal, M. Exploring public voice on social media: Twitter Users’ views on the circular economy. Sustain. Dev. n/a, (2024). https://doi.org/10.1002/sd.3028
