This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Environmental Health (79)

Published on in Vol 17, No 3 (2015): March

Social Media as a Sensor of Air Quality and Public Response in China

Social Media as a Sensor of Air Quality and Public Response in China

Social Media as a Sensor of Air Quality and Public Response in China

Authors of this article:

Shiliang Wang1 Author Orcid Image ;   Michael J Paul1 Author Orcid Image ;   Mark Dredze2 Author Orcid Image
Article Authors Cited by (84) Tweetations (20) Metrics

Journals

  1. Castilla A, Riera R, Ali Humaid M, Garland T, Alkuwari A, Muzaffar S, Naser H, Al-Mohannadi S, Al-Ajmi D, Chikhi A, Wessels J, Al-Thani M, Takacs Z, Valdeón A. Contribution of citizen science to improve knowledge on marine biodiversity in the Gulf Region. Journal of the Association of Arab Universities for Basic and Applied Sciences 2017;24(1):126 View
  2. Yang H, Li S, Sun L, Zhang X, Hou J, Wang Y. Effects of the Ambient Fine Particulate Matter on Public Awareness of Lung Cancer Risk in China: Evidence from the Internet-Based Big Data Platform. JMIR Public Health and Surveillance 2017;3(4):e64 View
  3. Jiang W, Wang Y, Tsou M, Fu X, Amaral L. Using Social Media to Detect Outdoor Air Pollution and Monitor Air Quality Index (AQI): A Geo-Targeted Spatiotemporal Analysis Framework with Sina Weibo (Chinese Twitter). PLOS ONE 2015;10(10):e0141185 View
  4. Park Y, Song I, Yi J, Yi S, Kim S. Web-Based Visualization of Scientific Research Findings: National-Scale Distribution of Air Pollution in South Korea. International Journal of Environmental Research and Public Health 2020;17(7):2230 View
  5. Rao Q, Zhang Z, Lv Y, Zhao Y, Bai L, Hou X. Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo. JMIR Medical Informatics 2020;8(10):e20558 View
  6. Wang Y, Fu X, Jiang W, Wang T, Tsou M, Ye X. Inferring urban air quality based on social media. Computers, Environment and Urban Systems 2017;66:110 View
  7. Shapiro M, Bolsen T. Transboundary Air Pollution in South Korea: An Analysis of Media Frames and Public Attitudes and Behavior. East Asian Community Review 2018;1(3-4):107 View
  8. Cao R, Stone T, Petrini M, Turale S. Nurses' perceptions of health beliefs and impact on teaching and practice: a Q‐sort study. International Nursing Review 2018;65(1):131 View
  9. Du X, Kowalski M, Varde A, de Melo G, Taylor R. Public opinion matters. ACM SIGWEB Newsletter 2020;2019(Autumn):1 View
  10. Hswen Y, Qin Q, Brownstein J, Hawkins J. Feasibility of using social media to monitor outdoor air pollution in London, England. Preventive Medicine 2019;121:86 View
  11. Bellinger C, Mohomed Jabbar M, Zaïane O, Osornio-Vargas A. A systematic review of data mining and machine learning for air pollution epidemiology. BMC Public Health 2017;17(1) View
  12. Guo L, Chen B, Zhang H, Zhang Y. A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5. Environmental Science and Pollution Research 2020;27(2):2165 View
  13. Pu S, Shao Z, Fang M, Yang L, Liu R, Bi J, Ma Z. Spatial distribution of the public's risk perception for air pollution: A nationwide study in China. Science of The Total Environment 2019;655:454 View
  14. Bian J, Zhao Y, Salloum R, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz L, He Z, Sun Y. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. Journal of Medical Internet Research 2017;19(12):e414 View
  15. Li X, Qiao Y, Zhu J, Shi L, Wang Y. The “APEC blue” endeavor: Causal effects of air pollution regulation on air quality in China. Journal of Cleaner Production 2017;168:1381 View
  16. Jiang S. Functional interactivity in social media: an examination of Chinese health care organizations’ microblog profiles. Health Promotion International 2019;34(1):38 View
  17. Song J, Song T. Social Big-Data Analysis of Particulate Matter, Health, and Society. International Journal of Environmental Research and Public Health 2019;16(19):3607 View
  18. Dai Q, Bi X, Liu B, Li L, Ding J, Song W, Bi S, Schulze B, Song C, Wu J, Zhang Y, Feng Y, Hopke P. Chemical nature of PM2.5 and PM10 in Xi'an, China: Insights into primary emissions and secondary particle formation. Environmental Pollution 2018;240:155 View
  19. Chen H, Liu J, Li Y, Chiu Y, Lin T. A Two-stage Dynamic Undesirable Data Envelopment Analysis Model Focused on Media Reports and the Impact on Energy and Health Efficiency. International Journal of Environmental Research and Public Health 2019;16(9):1535 View
  20. Cori L, Donzelli G, Gorini F, Bianchi F, Curzio O. Risk Perception of Air Pollution: A Systematic Review Focused on Particulate Matter Exposure. International Journal of Environmental Research and Public Health 2020;17(17):6424 View
  21. Wakamiya S, Kawai Y, Aramaki E. Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study. JMIR Public Health and Surveillance 2018;4(3):e65 View
  22. Zhai W, Cheng C. A long short-term memory approach to predicting air quality based on social media data. Atmospheric Environment 2020;237:117411 View
  23. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  24. Lei P, Marfia G, Pau G, Tse R. Can we monitor the natural environment analyzing online social network posts? A literature review. Online Social Networks and Media 2018;5:51 View
  25. Hong S. Air Quality Context Information Model for Ubiquitous Public Access to Geographic Information. ISPRS International Journal of Geo-Information 2018;7(8):316 View
  26. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
  27. Zheng S, Wang J, Sun C, Zhang X, Kahn M. Air pollution lowers Chinese urbanites’ expressed happiness on social media. Nature Human Behaviour 2019;3(3):237 View
  28. Hong S. Design of air quality information service based upon geographic context information model in ISO19154. Spatial Information Research 2017;25(1):39 View
  29. Encarnação S, Santos F, Santos F, Blass V, Pacheco J, Portugali J. Paths to the adoption of electric vehicles: An evolutionary game theoretical approach. Transportation Research Part B: Methodological 2018;113:24 View
  30. Li Y, Chiu Y, Chen H, Lin T. Impact of Media Reports and Environmental Pollution on Health and Health Expenditure Efficiency. Healthcare 2019;7(4):144 View
  31. Middya A, Roy S, Dutta J, Das R. JUSense: A Unified Framework for Participatory-based Urban Sensing System. Mobile Networks and Applications 2020;25(4):1249 View
  32. Tse R, Zhang L, Lei P, Pau G. Social Network Based Crowd Sensing for Intelligent Transportation and Climate Applications. Mobile Networks and Applications 2018;23(1):177 View
  33. Represa N, Fernández-Sarría A, Porta A, Palomar-Vázquez J. Data Mining Paradigm in the Study of Air Quality. Environmental Processes 2020;7(1):1 View
  34. Zhu R, Lin D, Wang Y, Jendryke M, Xin R, Yang J, Guo J, Meng L. Social Sensing of the Imbalance of Urban and Regional Development in China Through the Population Migration Network around Spring Festival. Sustainability 2020;12(8):3457 View
  35. Han J, Tian X, Yu G, He F. Disclosure Pattern of Self-Labeled People Living with HIV/AIDS on Chinese Social Networking Site: An Exploratory Study. Cyberpsychology, Behavior, and Social Networking 2016;19(8):516 View
  36. Zhao N, Cao G, Zhang W, Samson E. Tweets or nighttime lights: Comparison for preeminence in estimating socioeconomic factors. ISPRS Journal of Photogrammetry and Remote Sensing 2018;146:1 View
  37. Yan H, Zhang L, Liu L, Wen S. Investigation of the external conditions and material compositions affecting the formation mechanism and size distribution of tire wear particles. Atmospheric Environment 2021;244:118018 View
  38. Wang J, Wei Y, Lin B. HOW SOCIAL MEDIA AFFECTS PM2.5 LEVELS IN URBAN CHINA?. Geographical Review 2023;113(1):48 View
  39. Jin X, Spence P. Understanding crisis communication on social media with CERC: topic model analysis of tweets about Hurricane Maria. Journal of Risk Research 2021;24(10):1266 View
  40. Wang J, Jia Y. Social media’s influence on air quality improvement: Evidence from China. Journal of Cleaner Production 2021;298:126769 View
  41. Zhu D, Zhou Q, Liu M, Bi J. Non-optimum temperature-related mortality burden in China: Addressing the dual influences of climate change and urban heat islands. Science of The Total Environment 2021;782:146760 View
  42. Chen J, Wang X, Wu Y, Shi B, Lu J. Environmental Evaluation of Small Coastal Cities Based on Street View Images. Journal of Physics: Conference Series 2021;1881(4):042083 View
  43. Yang C, Huang C, Hsiao Y. Using Social Media Mining and PLS-SEM to Examine the Causal Relationship between Public Environmental Concerns and Adaptation Strategies. International Journal of Environmental Research and Public Health 2021;18(10):5270 View
  44. Shan S, Ju X, Wei Y, Wang Z. Effects of PM2.5 on People’s Emotion: A Case Study of Weibo (Chinese Twitter) in Beijing. International Journal of Environmental Research and Public Health 2021;18(10):5422 View
  45. Lu E, Liu C. A Spatial-Temporal Approach for Air Quality Forecast in Urban Areas. Applied Sciences 2021;11(11):4971 View
  46. Pandharipande A. Social Sensing in IoT Applications: A Review. IEEE Sensors Journal 2021;21(11):12523 View
  47. JENSEN M, CHEN T. Illiberal Media in a Liberal Democracy: Examining Identity in Australia’s Mandarin Language News. Issues & Studies 2021;57(02):2150005 View
  48. Yigitcanlar T, Mehmood R, Corchado J. Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures. Sustainability 2021;13(16):8952 View
  49. Li Y, Lin T, Chiu Y, Chen H, Cen H. The impact of media reports on energy and environmental efficiency in China: evidence from modified dynamic DEA with undesirable outputs. Cost Effectiveness and Resource Allocation 2021;19(1) View
  50. Ma Y, Wang W, Li Z, Si Y, Wang J, Chen L, Wei C, Lin H, Deng F, Guo X, Ni X, Wu S. Short-term exposure to ambient air pollution and risk of daily hospital admissions for anxiety in China: A multicity study. Journal of Hazardous Materials 2022;424:127535 View
  51. Li S, Hui E, Wen H, Liu H. Does public concern matter to the welfare cost of air pollution? Evidence from Chinese cities. Cities 2022;131:103992 View
  52. Ye B, Krishnan P, Jia S. Public Concern about Air Pollution and Related Health Outcomes on Social Media in China: An Analysis of Data from Sina Weibo (Chinese Twitter) and Air Monitoring Stations. International Journal of Environmental Research and Public Health 2022;19(23):16115 View
  53. Liu Y, Kwan M, Kan Z. Inconsistent Association between Perceived Air Quality and Self-Reported Respiratory Symptoms: A Pilot Study and Implications for Environmental Health Studies. International Journal of Environmental Research and Public Health 2023;20(2):1491 View
  54. Yang F, Hua Y, Li X, Yang Z, Yu X, Fei T. A survey on multisource heterogeneous urban sensor access and data management technologies. Measurement: Sensors 2022;19:100061 View
  55. Yu C, Long H, Zhang X, Tan Y, Zhou Y, Zang C, Tu C. The interaction effect between public environmental concern and air pollution: Evidence from China. Journal of Cleaner Production 2023;391:136231 View
  56. Yang T, Xie J, Song P, Li G, Mou N, Gao X, Zhao J. Monitoring Ecological Conditions by Remote Sensing and Social Media Data—Sanya City (China) as Case Study. Remote Sensing 2022;14(12):2824 View
  57. Hu S, Yao M. Impact analysis of government microblog participation in public management based on association analysis and edge computing. Concurrency and Computation: Practice and Experience 2022 View
  58. Postma J, Marko T, Meyer M, DeNike A, Thomas J, Walden V, Butterfield P. Assessing community response to wildfire smoke: A multimethod study using social media. Public Health Nursing 2023;40(1):153 View
  59. Wang Y, Wang G, Li H, Gong L, Wu Z. Mapping and analyzing the construction noise pollution in China using social media platforms. Environmental Impact Assessment Review 2022;97:106863 View
  60. Nazar W, Plata-Nazar K. Changes in Air Pollution-Related Behaviour Measured by Google Trends Search Volume Index in Response to Reported Air Quality in Poland. International Journal of Environmental Research and Public Health 2021;18(21):11709 View
  61. Xu G, Feng X, Li Y, Jia J. Mediation effects of online public attention on the relationship between air pollution and precautionary behavior. Journal of Management Science and Engineering 2022;7(1):159 View
  62. Sun Z, Zhu D. Surveillance of public risk perceptions on outdoor air pollution: evidence from online search behaviours in China. Journal of Environmental Planning and Management 2024;67(10):2185 View
  63. Chukwu T, Morse S, Murphy R. Perceived Health Impacts, Sources of Information and Individual Actions to Address Air Quality in Two Cities in Nigeria. Sustainability 2023;15(7):6124 View
  64. Ryu H, Ha J, Chung I, Yang S, Kim H, Choi S. Particulate matter concentration effects on attention to environmental issues: a cross-sectional study among residents in Korea’s Pohang Industrial Complex. Annals of Occupational and Environmental Medicine 2023;35(1) View
  65. Wang Y, Chen C, Kong P, Li H, Wen Q. A Cyber–Physical–Social Perspective on Future Smart Distribution Systems. Proceedings of the IEEE 2023;111(7):694 View
  66. Xin R, Lim Y. Bibliometric analysis of literature on social media trends during the COVID-19 pandemic. Online Information Review 2024;48(4):764 View
  67. Furini M. X as a Passive Sensor to Identify Opinion Leaders: A Novel Method for Balancing Visibility and Community Engagement. Sensors 2024;24(2):610 View
  68. Wang Z, Sun H, Ding C, Zhang X. Does public environmental concern cause pollution transfer? Evidence from Chinese firms' off-site investments. Journal of Cleaner Production 2024;466:142825 View
  69. Yang Y, Goh K, Teo H, Tan S. The Impact of Air Pollution Information on Individuals’ Exercise Behavior: Empirical Study Using Wearable and Mobile Devices Data. JMIR mHealth and uHealth 2024;12:e55207 View
  70. TURCENIUC A. Environmental Performance and Press Freedom Within an Economical Framework. Studia Universitatis Babeș-Bolyai Negotia 2024;69(2):79 View

Books/Policy Documents

  1. Tse R, Zhang L, Lei P, Pau G. Smart Objects and Technologies for Social Good. View
  2. Rahi P, Sood S, Bajaj R. Futuristic Trends in Networks and Computing Technologies. View
  3. Pérez-Roman E, Alvarado M, Barrett M. Smart Cities in Application. View
  4. Lombi L. Clinical Handbook of Air Pollution-Related Diseases. View
  5. Liu H, Eleta I, Kobernus M, Cole-Hunter T. Collective Online Platforms for Financial and Environmental Awareness. View
  6. Xiong Y, He Y, Huang H, Yu C, Jing X. Signal and Information Processing, Networking and Computers. View
  7. Liu Q. Public Acceptability of Congestion Charging in China. View
  8. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. View