1. Arias R., Capelli L., Jiménez C. A new methodology based on citizen science to improve environmental odour management. Chemical Engineering Transactions, 2018, 68: 7–12. https://doi.org/10.3303/CET1868002
2. Arias R., Seoane N. S., Burbano J., Hernández M. C. Validation of citizen observations to assess the odour impact: The Barcelona case study of D-NOSES. Chemical Engineering Transactions, 2022, 95: 121–126. https://doi.org/10.3303/CET2295021
3. Belik I. S., Kamdina L. V. Analysis of the relationship between human impact and quality of population life (on the example of Sverdlovsk and Chelyabinsk regions). Bulletin of Chelyabinsk State University, 2018, (7): 39–48. (In Russ.) https://doi.org/10.24411/1994-2796-2018-10705
4. Bennett N. J. Using perceptions as evidence to improve conservation and environmental management. Conservation Biology, 2016, 30(3): 582–592. https://doi.org/10.1111/cobi.12681
5. Dettori M., Pittaluga P., Busonera G., Gugliotta C., Azara A., Piana A., Arghittu A., Castiglia P. Environmental risks perception among citizens living near industrial plants: A cross-sectional study. International Journal of Environmental Research and Public Health, 2020, 17(13). https://doi.org/10.3390/ijerph17134870
6. Fraisl D., See L., Estevez D., Tomaska N., MacFeely S. Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization’s Triple Billion Targets. Frontiers in Public Health, 2023, 11. https://doi.org/10.3389/fpubh.2023.1202188
7. Jarić I., Bellard C., Correia R. A., Courchamp F., Douda K., Essl F., Jeschke J. M., Kalinkat G., Kalous L., Lennox R. J., Nóvoa A., Proulx R., Pyšek P., Soriano-Redondo A., Souza A. T., Vardi R., Veríssimo D., Roll U. Invasion culturomics and iEcology. Conservation Biology, 2021, 35(2): 447–451. https://doi.org/10.1111/cobi.13707
8. Jarić I., Correia R. A., Brook B. W., Buettel J. C., Courchamp F., Di Minin E., Firth J. A., Gaston K. J., Jepson P., Kalinkat G., Ladle R., Soriano-Redondo A., Souza A. T., Roll U. iEcology: Harnessing large online resources to generate ecological insights. Trends in Ecology & Evolution, 2020, 35(7): 630–639. https://doi.org/10.1016/j.tree.2020.03.003
9. Kranzeeva E. A., Golovatsky E. V., Burmakina A. L., Donova I. V. Regional socio-political interaction online and offline: Possibilities for comparison and measurement using the example of the environmental agenda. Tomsk State University Journal, 2024, (500): 150–158. (In Russ.) https://doi.org/10.17223/15617793/500/16
10. Kuzmin S. V., Avaliani S. L., Dodina N. S., Shashina T. A., Kislitsin V. A., Sinitsyna O. O. The practice of applying health risk assessment in the Federal Project "Clean Air" in the participating Cities (Cherepovets, Lipetsk, Omsk, Novokuznetsk): Problems and prospects. Gigiena i Sanitariya, 2021, 100(9): 890–896. (In Russ.) https://doi.org/10.47470/0016-9900-2021-100-9-890-896
11. Ladle R. J., Correia R. A., Do Y., Joo G.-J., Malhado A. C. M., Proulx R., Roberge J.-M., Jepson P. Conservation culturomics. Frontiers in Ecology and the Environment, 2016, 14(5): 269–275. https://doi.org/10.1002/fee.1260
12. Lobodenko L. K., Perevozova O. V., Cherednyakova A. B., Kharitonova O. Yu. Analysis of the representation of environmental issues in the social networks of regional Internet media. RUDN Journal of Studies in Literature and Journalism, 2022, 27(3): 600–614. (In Russ.) https://doi.org/10.22363/2312-9220-2022-27-3-600-614
13. Mahajan S., Chung M.-K., Martinez J., Olaya Y., Helbing D., Chen L. Translating citizen-generated air quality data into evidence for shaping policy. Humanities and Social Sciences Communications, 2022, 9. https://doi.org/10.1057/s41599-022-01135-2
14. Myagkov M., Shchekotin E. V., Kashpur V. V., Goiko V. L., Baryshev A. A. Activity of non-parliamentary opposition communities in social networks in the context of the Russian 2016 parliamentary election. East European Politics, 2018, 34(4): 483–502. https://doi.org/10.1080/21599165.2018.1532411
15. Özkal C. B. Analysis of annual citizen odor observation records and its relationship with meteorological factors: Çorlu / Tekirdağ case study. Atmospheric Pollution Research, 2023, 14(5). https://doi.org/10.1016/j.apr.2023.101734
16. Pascariello S., Filippelli F., Zambianchi R., Favaretto F., Benzo M. Odour impact assessment: A combined approach based on the emitting source and the receptor site analysis in a case study of a waste treatment plant in the Municipality of Celico (Italy). Chemical Engineering Transactions, 2022, 95: 13–18. https://doi.org/10.3303/CET2295003
17. Rastorguev S. V., Tyan Yu. S. Protest eco-activism in the digital environment (on the example of the "Krasnoyarsk case"). Monitoring Obshchestvennogo Mneniya: Ekonomicheskie i Sotsial'nye Peremeny, 2021, (6): 53–75. (In Russ.) https://doi.org/10.14515/monitoring.2021.6.2017
18. Rybakova M. V., Zvereva M. M. The environmental situation in Moscow: Assessment of the dynamics of public opinion based on the results of polls in 2013–2022. Vlast, 2022, 30(5): 156–162. (In Russ.) https://doi.org/10.31171/vlast.v30i5.9256
19. Saltykova M. M., Balakaeva A. V., Fedichkina T. P., Bobrovnitskii I. P. Leading air pollution related reasons of death. Gigiena i Sanitariya, 2020, 99(4): 337–343. (In Russ.) https://elibrary.ru/gdgnzm
20. Samulowska M., Chmielewski S., Raczko E., Lupa M., Myszkowska D., Zagajewski B. Crowdsourcing without data bias: Building a quality assurance system for air pollution symptom mapping. ISPRS International Journal of Geo-Information, 2021, 10(2). https://doi.org/10.3390/ijgi10020046
21. Shchekotin E. V., Dunaeva D. O., Basina P. A., Vakhrameev P. S. Digital footprints in ecology: Empirical research. Virtual Communication and Social Networks, 2023, 2(4): 255–263. (In Russ.) https://doi.org/10.21603/2782-4799-2023-2-4-255-263
22. Shchekotin E. V., Goiko V. L., Myagkov M., Dunaeva D. O. Assessment of quality of life in regions of Russia based on social media data. Journal of Eurasian Studies, 2021, 12(2): 182–198. https://doi.org/10.1177/18793665211034185
23. Su L., Li X. The effects of message attributes and source characteristics of news posts on audience engagement on social media. Asian Journal of Communication, 2023, 33(4): 390–408. https://doi.org/10.1080/01292986.2023.2200435
24. Teixeira S. A., Pereira P. D., Ferreira F. C. From nose to nuisance: A collaborative approach to assess the odour problem in an oilseed plant. Chemical Engineering Transactions, 2021, 85: 79–84. https://doi.org/10.3303/CET2185014
25. Xu Q., Yu N., Song Y. User engagement in public discourse on genetically modified organisms: The role of opinion leaders on social media. Science Communication, 2018, 40(6): 691–717.
26. Vasenina I. V., Sushko V. A. Influence of industrial infrastructure on the ecology of the region and quality of life of local population. Sotsiologiya, 2020, (2): 205–214. (In Russ.) https://elibrary.ru/ijqcpz
27. Zarra T., Belgiorno V., Naddeo V. Environmental odour nuisance assessment in urbanized area: Analysis and comparison of different and integrated approaches. Atmosphere, 2021, 12(6). https://doi.org/10.3390/atmos12060690