1. 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
2. Bronnikov I. A., Belousov G. F., Gorbachev M. V. Factors of formation and development of regional environmental protest movements in modern Russia. Vestnik Tomskogo gosudarstvennogo universiteta. Filosofiya. Sotsiologiya. Politologiya, 2021, (59): 214-223. (In Russ.)] https://doi.org/10.17223/1998863X/59/20
3. Vasenina I. V., Sushko V. A. Influence of industrial infrastructure on the ecology of the region and quality of life of local population. Sociology, 2020, (2): 205-214. (In Russ.)] https://www.elibrary.ru/ijqcpz
4. Golbraikh V. B. News consumption by members of virtual environmental protest communities (on the example of the conflict over a landfill in Arkhangelsk oblast). Tomsk State University Journal, 2021, (472): 56-63. (In Russ.)] https://doi.org/10.17223/15617793/472/7
5. Dunaeva D. O. Methodology for collecting data from open online sources to assess the quality of life of the population (using the example of the social network "VKontakte"). Prospects of fundamental sciences development: Proc. XIX Intern. Conf. of students, postgraduate students, and young scientists, Tomsk, 26-29 Apr 2022. Tomsk: TPU, 2022, 14-16. (In Russ.)] https://www.elibrary.ru/dsuvyp
6. Ermolaeva P. O., Ermolaeva Yu. V., Basheva O. A. Digital environmental activism as the new form of environmental participation. Russian sociological review, 2020, 19(3): 376-408. (In Russ.)] https://doi.org/10.17323/1728-192x-2020-3-376-408
7. Rastorguev S. V., Tyan Yu. S. Protest eco-activism in the digital environment (on the example of the "Krasnoyarsk case"). Monitoring of Public Opinion: Economic and Social Changes, 2021, (6): 53-75. (In Russ.)] https://doi.org/10.14515/monitoring.2021.6.2017
8. 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
9. Sokolov A. V., Belyakov A. A. Transformation and support of environmental agendas in protest campaigns on social network sites. Vestnik Tomskogo gosudarstvennogo universiteta. Filosofiya. Sotsiologiya. Politologiya, 2022, (67): 202-215. (In Russ.)] https://doi.org/10.17223/1998863X/67/18
10. Shchekotin E. V., Goiko V. L., Basina P. A., Bakulin V. V. Using machine learning to study the population life quality: methodological aspects. Digital Sociology, 2022, 5(1): 87-97. (In Russ.)] https://doi.org/10.26425/2658-347X-2022-5-1-87-97
11. Boldrocchi G., Storai T. Data-mining social media platforms highlights conservation action for the Mediterranean critically endangered blue shark Prionace glauca. Aquatic Conservation: Marine and Freshwater Ecosystems, 2021, 31(11): 3087-3099. http://dx.doi.org/10.1002/aqc.3690
12. Chamberlain J. Using social media for biomonitoring: how Facebook, Twitter, Flickr and other social networking platforms can provide large-scale biodiversity data. Advances in Ecological Research, 2018, 59: 133-168. https://doi.org/10.1016/bs.aecr.2018.06.001
13. Hale R. L., Cook E. M., Beltrán B. J. Cultural ecosystem services provided by rivers across diverse social-ecological landscapes: a social media analysis. Ecological Indicators, 2019, 107. https://doi.org/10.1016/j.ecolind.2019.105580
14. Jarić I., Bellard C., Correia R. A., Courchamp F., Douda K., Essl F., Jeschke J. M., Kalinkat G., Kalous L., Lennox R. J., Novoa 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
15. 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
16. LaDeau S. L., Han B. A., Rosi-Marshall E. J., Weathers K. C. The next decade of big data in ecosystem science. Ecosystems, 2017, 20(2): 274-283. https://doi.org/10.1007/s10021-016-0075-y
17. 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
18. Lin C. C. Ecoinformatics: a review of approach and applications in ecological research. Proceedings of the National Institute of Ecology of the Republic of Korea, 2020, 1(1): 9-21. https://doi.org/10.22920/PNIE.2020.1.1.9
19. Michel J.-B., Shen Y. K., Aiden A. P., Veres A., Gray M. K., Pickett J. P., Hoiberg D., Clancy D., Norvig P., Orwant J., Pinker S., Nowak M. A., Aiden E. L. Quantitative analysis of culture using millions of digitized books. Science, 2011, 331(6014): 176-182. https://doi.org/10.1126/science.1199644
20. Young J. C., Arthur R., Spruce M., Williams H. T. P. Social sensing of heatwaves. Sensors, 2021, 21(11). https://doi.org/10.3390/s21113717



