Skip to main content
Top
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Smoking and Nicotine Detoxification | Research

Clearing the air: evaluating institutions’ social media health messaging on wildfire and smoke risks in the US Pacific Northwest

Authors: Catherine E. Slavik, Daniel A. Chapman, Alex Segrè Cohen, Nahla Bendefaa, Ellen Peters

Published in: BMC Public Health | Issue 1/2024

Login to get access

Abstract

Background

Wildfire smoke contributes substantially to the global disease burden and is a major cause of air pollution in the US states of Oregon and Washington. Climate change is expected to bring more wildfires to this region. Social media is a popular platform for health promotion and a need exists for effective communication about smoke risks and mitigation measures to educate citizens and safeguard public health.

Methods

Using a sample of 1,287 Tweets from 2022, we aimed to analyze temporal Tweeting patterns in relation to potential smoke exposure and evaluate and compare institutions’ use of social media communication best practices which include (i) encouraging adoption of smoke-protective actions; (ii) leveraging numeric, verbal, and Air Quality Index risk information; and (iii) promoting community-building. Tweets were characterized using keyword searches and the Linguistic Inquiry and Word Count (LIWC) software. Descriptive and inferential statistics were carried out.

Results

44% of Tweets in our sample were authored between January-August 2022, prior to peak wildfire smoke levels, whereas 54% of Tweets were authored during the two-month peak in smoke (September-October). Institutional accounts used Twitter (or X) to encourage the adoption of smoke-related protective actions (82% of Tweets), more than they used it to disseminate wildfire smoke risk information (25%) or promote community-building (47%). Only 10% of Tweets discussed populations vulnerable to wildfire smoke health effects, and 14% mentioned smoke mitigation measures. Tweets from Washington-based accounts used significantly more verbal and numeric risk information to discuss wildfire smoke than Oregon-based accounts (p = 0.042 and p = 0.003, respectively); however, Tweets from Oregon-based accounts on average contained a higher percentage of words associated with community-building language (p < 0.001).

Conclusions

This research provides practical recommendations for public health practitioners and researchers communicating wildfire smoke risks on social media. As exposures to wildfire smoke rise due to climate change, reducing the environmental disease burden requires health officials to leverage popular communication platforms, distribute necessary health-related messaging rapidly, and get the message right. Timely, evidence-based, and theory-driven messaging is critical for educating and empowering individuals to make informed decisions about protecting themselves from harmful exposures. Thus, proactive and sustained communications about wildfire smoke should be prioritized even during wildfire “off-seasons.”
Appendix
Available only for authorised users
Literature
1.
go back to reference Clarke H, Cirulis B, Borchers-Arriagada N, Bradstock R, Price O, Penman T. Health costs of wildfire smoke to rise under climate change. npj Clim Atmos Sci. 2023;6(1):1–4.CrossRef Clarke H, Cirulis B, Borchers-Arriagada N, Bradstock R, Price O, Penman T. Health costs of wildfire smoke to rise under climate change. npj Clim Atmos Sci. 2023;6(1):1–4.CrossRef
2.
go back to reference Xu R, Yu P, Abramson MJ, Johnston FH, Samet JM, Bell ML, et al. Wildfires, global climate change, and human health. N Engl J Med. 2020;383(22):2173–81.PubMedCrossRef Xu R, Yu P, Abramson MJ, Johnston FH, Samet JM, Bell ML, et al. Wildfires, global climate change, and human health. N Engl J Med. 2020;383(22):2173–81.PubMedCrossRef
3.
go back to reference Doubleday A, Schulte J, Sheppard L, Kadlec M, Dhammapala R, Fox J, et al. Mortality associated with wildfire smoke exposure in Washington state, 2006–2017: a case-crossover study. Environ Health. 2020;19(1):4.PubMedPubMedCentralCrossRef Doubleday A, Schulte J, Sheppard L, Kadlec M, Dhammapala R, Fox J, et al. Mortality associated with wildfire smoke exposure in Washington state, 2006–2017: a case-crossover study. Environ Health. 2020;19(1):4.PubMedPubMedCentralCrossRef
4.
go back to reference Burke M, Driscoll A, Heft-Neal S, Xue J, Burney J, Wara M. The changing risk and burden of wildfire in the United States. Proc Natl Acad Sci USA. 2021;118(2):e2011048118.PubMedPubMedCentralCrossRef Burke M, Driscoll A, Heft-Neal S, Xue J, Burney J, Wara M. The changing risk and burden of wildfire in the United States. Proc Natl Acad Sci USA. 2021;118(2):e2011048118.PubMedPubMedCentralCrossRef
6.
go back to reference Keegan SA, Rahman KM. Health protection messaging for populations susceptible to air pollution during landscape fire smoke events: an integrative review. Rev Environ Health. 2021;36(4):599–609.PubMedCrossRef Keegan SA, Rahman KM. Health protection messaging for populations susceptible to air pollution during landscape fire smoke events: an integrative review. Rev Environ Health. 2021;36(4):599–609.PubMedCrossRef
7.
go back to reference Slavik CE, Philipsborn R, Peters E. Educating families about the impacts of wildfire smoke on children’s health: opportunities for healthcare professionals. BMJ Paediatr Open. 2023;7(1):e002187.PubMedPubMedCentralCrossRef Slavik CE, Philipsborn R, Peters E. Educating families about the impacts of wildfire smoke on children’s health: opportunities for healthcare professionals. BMJ Paediatr Open. 2023;7(1):e002187.PubMedPubMedCentralCrossRef
8.
go back to reference Errett NA, Roop HA, Pendergrast C, Kramer CB, Doubleday A, Tran KA et al. Building a practice-based research agenda for wildfire smoke and health: a report of the 2018 Washington wildfire smoke risk communication stakeholder synthesis symposium. Int. J. Environ. Res. Public Health. 2019;16(13):2398. Errett NA, Roop HA, Pendergrast C, Kramer CB, Doubleday A, Tran KA et al. Building a practice-based research agenda for wildfire smoke and health: a report of the 2018 Washington wildfire smoke risk communication stakeholder synthesis symposium. Int. J. Environ. Res. Public Health. 2019;16(13):2398.
9.
go back to reference Balmes JR, Holm SM. Increasing wildfire smoke from the climate crisis: impacts on asthma and allergies. J Allergy Clin Immunol. 2023;152(5):1081–3.PubMedCrossRef Balmes JR, Holm SM. Increasing wildfire smoke from the climate crisis: impacts on asthma and allergies. J Allergy Clin Immunol. 2023;152(5):1081–3.PubMedCrossRef
10.
go back to reference Van Deventer D, Marecaux J, Doubleday A, Errett N, Isaksen TMB. Wildfire smoke risk communication efficacy: a content analysis of Washington State’s 2018 statewide smoke event public health messaging. J Public Health Manag Pract. 2021;27(6):607–14.PubMedCrossRef Van Deventer D, Marecaux J, Doubleday A, Errett N, Isaksen TMB. Wildfire smoke risk communication efficacy: a content analysis of Washington State’s 2018 statewide smoke event public health messaging. J Public Health Manag Pract. 2021;27(6):607–14.PubMedCrossRef
11.
go back to reference Wang Z, Ye X, Tsou MH. Spatial, temporal, and content analysis of Twitter for wildfire hazards. Nat Hazards. 2016;83(1):523–40.CrossRef Wang Z, Ye X, Tsou MH. Spatial, temporal, and content analysis of Twitter for wildfire hazards. Nat Hazards. 2016;83(1):523–40.CrossRef
12.
go back to reference Shellington EM, Nguyen PDM, Rideout K, Barn P, Lewis A, Baillie M, et al. Public health messaging for wildfire smoke: cast a wide net. Public Health Front. 2022;10:1–7.CrossRef Shellington EM, Nguyen PDM, Rideout K, Barn P, Lewis A, Baillie M, et al. Public health messaging for wildfire smoke: cast a wide net. Public Health Front. 2022;10:1–7.CrossRef
13.
go back to reference Graham MW, Avery EJ, Park S. The role of social media in local government crisis communications. Public Relat Rev. 2015;41(3):386–94.CrossRef Graham MW, Avery EJ, Park S. The role of social media in local government crisis communications. Public Relat Rev. 2015;41(3):386–94.CrossRef
14.
go back to reference Wood LM, D’Evelyn SM, Errett NA, Bostrom A, Desautel C, Alvarado E, et al. When people see me, they know me; they trust what I say: characterizing the role of trusted sources for smoke risk communication in the Okanogan River Airshed Emphasis Area. BMC Public Health. 2022;22(1):2388.PubMedPubMedCentralCrossRef Wood LM, D’Evelyn SM, Errett NA, Bostrom A, Desautel C, Alvarado E, et al. When people see me, they know me; they trust what I say: characterizing the role of trusted sources for smoke risk communication in the Okanogan River Airshed Emphasis Area. BMC Public Health. 2022;22(1):2388.PubMedPubMedCentralCrossRef
15.
go back to reference Rappold AG, Hano MC, Prince S, Wei L, Huang SM, Baghdikian C, et al. Smoke sense initiative leverages citizen science to address the growing wildfire-related public health problem. GeoHealth. 2019;3(12):443–57.PubMedPubMedCentralCrossRef Rappold AG, Hano MC, Prince S, Wei L, Huang SM, Baghdikian C, et al. Smoke sense initiative leverages citizen science to address the growing wildfire-related public health problem. GeoHealth. 2019;3(12):443–57.PubMedPubMedCentralCrossRef
16.
17.
go back to reference Vos SC, Sutton J, Yu Y, Renshaw SL, Olson MK, Gibson CB, et al. Retweeting risk communication: the role of threat and efficacy. Risk Anal. 2018;38(12):2580–98.PubMedCrossRef Vos SC, Sutton J, Yu Y, Renshaw SL, Olson MK, Gibson CB, et al. Retweeting risk communication: the role of threat and efficacy. Risk Anal. 2018;38(12):2580–98.PubMedCrossRef
18.
go back to reference Pourebrahim N, Sultana S, Edwards J, Gochanour A, Mohanty S. Understanding communication dynamics on Twitter during natural disasters: a case study of Hurricane Sandy. Int J Disaster Risk Reduct. 2019;37:101176.CrossRef Pourebrahim N, Sultana S, Edwards J, Gochanour A, Mohanty S. Understanding communication dynamics on Twitter during natural disasters: a case study of Hurricane Sandy. Int J Disaster Risk Reduct. 2019;37:101176.CrossRef
21.
go back to reference Ghahramani A, de Courten M, Prokofieva M. The potential of social media in health promotion beyond creating awareness: an integrative review. BMC Public Health. 2022;22(1):2402.PubMedPubMedCentralCrossRef Ghahramani A, de Courten M, Prokofieva M. The potential of social media in health promotion beyond creating awareness: an integrative review. BMC Public Health. 2022;22(1):2402.PubMedPubMedCentralCrossRef
22.
go back to reference Merchant RM, Elmer S, Lurie N. Integrating social media into emergency-preparedness efforts. N Engl J Med. 2011;365(4):289–91.PubMedCrossRef Merchant RM, Elmer S, Lurie N. Integrating social media into emergency-preparedness efforts. N Engl J Med. 2011;365(4):289–91.PubMedCrossRef
23.
go back to reference Postma JM, Marko T, Meyer M, DeNike A, Thomas J, Walden V, et al. Assessing community response to wildfire smoke: a multimethod study using social media. Public Health Nurs. 2023;40(1):153–62.PubMedCrossRef Postma JM, Marko T, Meyer M, DeNike A, Thomas J, Walden V, et al. Assessing community response to wildfire smoke: a multimethod study using social media. Public Health Nurs. 2023;40(1):153–62.PubMedCrossRef
26.
go back to reference Thomas M, Kaufman S, Klemm C, Hutchins B. The co-evolution of government risk communication practice and context for environmental health emergencies. J Risk Res. 2023;26(1):83–96.CrossRef Thomas M, Kaufman S, Klemm C, Hutchins B. The co-evolution of government risk communication practice and context for environmental health emergencies. J Risk Res. 2023;26(1):83–96.CrossRef
27.
go back to reference Marfori MT, Campbell SL, Garvey K, McKeown S, Veitch M, Wheeler AJ, et al. Public health messaging during extreme smoke events: are we hitting the mark? Public Health Front. 2020;8:1–11.CrossRef Marfori MT, Campbell SL, Garvey K, McKeown S, Veitch M, Wheeler AJ, et al. Public health messaging during extreme smoke events: are we hitting the mark? Public Health Front. 2020;8:1–11.CrossRef
28.
go back to reference D’Evelyn SM, Wood LM, Desautel C, Errett NA, Ray K, Spector JT, et al. Learning to live with smoke: characterizing wildland fire and prescribed fire smoke risk communication in rural Washington. Environ Res: Health. 2023;1(2):025012. D’Evelyn SM, Wood LM, Desautel C, Errett NA, Ray K, Spector JT, et al. Learning to live with smoke: characterizing wildland fire and prescribed fire smoke risk communication in rural Washington. Environ Res: Health. 2023;1(2):025012.
30.
go back to reference Neiger BL, Thackeray R, Burton SH, Thackeray CR, Reese JH. Use of Twitter among local health departments: an analysis of information sharing, engagement, and action. J Med Internet Res. 2013;15(8):e2775.CrossRef Neiger BL, Thackeray R, Burton SH, Thackeray CR, Reese JH. Use of Twitter among local health departments: an analysis of information sharing, engagement, and action. J Med Internet Res. 2013;15(8):e2775.CrossRef
31.
go back to reference Slavik CE, Darlington JC, Buttle C, Sturrock SL, Yiannakoulias N. Has public health messaging during the COVID-19 pandemic reflected local risks to health? A content analysis of tweeting practices across Canadian geographies. Health Place. 2021;69:102568.PubMedPubMedCentralCrossRef Slavik CE, Darlington JC, Buttle C, Sturrock SL, Yiannakoulias N. Has public health messaging during the COVID-19 pandemic reflected local risks to health? A content analysis of tweeting practices across Canadian geographies. Health Place. 2021;69:102568.PubMedPubMedCentralCrossRef
32.
go back to reference Lovejoy K, Saxton GD. Information, community, and action: how nonprofit organizations use social media. J Comput Mediat Commun. 2012;17(3):337–53.CrossRef Lovejoy K, Saxton GD. Information, community, and action: how nonprofit organizations use social media. J Comput Mediat Commun. 2012;17(3):337–53.CrossRef
33.
go back to reference Laranjo L, Arguel A, Neves AL, Gallagher AM, Kaplan R, Mortimer N, et al. The influence of social networking sites on health behavior change: a systematic review and meta-analysis. J Am Med Inform Assoc. 2015;22(1):243–56.PubMedCrossRef Laranjo L, Arguel A, Neves AL, Gallagher AM, Kaplan R, Mortimer N, et al. The influence of social networking sites on health behavior change: a systematic review and meta-analysis. J Am Med Inform Assoc. 2015;22(1):243–56.PubMedCrossRef
34.
go back to reference Faus M, Alonso F, Javadinejad A, Useche SA. Are social networks effective in promoting healthy behaviors? A systematic review of evaluations of public health campaigns broadcast on Twitter. Public Health Front. 2022;10:1–12.CrossRef Faus M, Alonso F, Javadinejad A, Useche SA. Are social networks effective in promoting healthy behaviors? A systematic review of evaluations of public health campaigns broadcast on Twitter. Public Health Front. 2022;10:1–12.CrossRef
35.
go back to reference Hagler GSW, Henderson SB, McCaffrey S, Johnston FH, Stone S, Rappold A, et al. Editorial: understanding and communicating wildland fire smoke risk. Front Public Health. 2021;9:721823.PubMedPubMedCentralCrossRef Hagler GSW, Henderson SB, McCaffrey S, Johnston FH, Stone S, Rappold A, et al. Editorial: understanding and communicating wildland fire smoke risk. Front Public Health. 2021;9:721823.PubMedPubMedCentralCrossRef
36.
go back to reference Rogers R. Cognitive and physiological processes in fear appeals and attitude change: a revised theory of protection motivation. In: Cacioppo J, Petty R, editors. 1983. p. 153–77. Rogers R. Cognitive and physiological processes in fear appeals and attitude change: a revised theory of protection motivation. In: Cacioppo J, Petty R, editors. 1983. p. 153–77.
37.
go back to reference Floyd DL, Prentice-Dunn S, Rogers RW. A meta-analysis of research on protection motivation theory. J Appl Soc Psychol. 2000;30(2):407–29.CrossRef Floyd DL, Prentice-Dunn S, Rogers RW. A meta-analysis of research on protection motivation theory. J Appl Soc Psychol. 2000;30(2):407–29.CrossRef
38.
go back to reference Ruiter RAC, Kessels LTE, Peters GJY, Kok G. Sixty years of fear appeal research: current state of the evidence. Int J Psychol. 2014;49(2):63–70.PubMedCrossRef Ruiter RAC, Kessels LTE, Peters GJY, Kok G. Sixty years of fear appeal research: current state of the evidence. Int J Psychol. 2014;49(2):63–70.PubMedCrossRef
39.
go back to reference Pope JP, Pelletier L, Guertin C. Starting off on the best foot: a review of message framing and message tailoring, and recommendations for the comprehensive messaging strategy for sustained behavior change. Health Commun. 2018;33(9):1068–77.PubMedCrossRef Pope JP, Pelletier L, Guertin C. Starting off on the best foot: a review of message framing and message tailoring, and recommendations for the comprehensive messaging strategy for sustained behavior change. Health Commun. 2018;33(9):1068–77.PubMedCrossRef
40.
go back to reference Kotcher J, Feldman L, Luong KT, Wyatt J, Maibach E. Advocacy messages about climate and health are more effective when they include information about risks, solutions, and a normative appeal: evidence from a conjoint experiment. J Clim Chang Health. 2021;3:100030.CrossRef Kotcher J, Feldman L, Luong KT, Wyatt J, Maibach E. Advocacy messages about climate and health are more effective when they include information about risks, solutions, and a normative appeal: evidence from a conjoint experiment. J Clim Chang Health. 2021;3:100030.CrossRef
41.
go back to reference Martin IM, Bender H, Raish C. What motivates individuals to protect themselves from risks: the case of wildland fires. Risk Anal. 2007;27(4):887–900.PubMedCrossRef Martin IM, Bender H, Raish C. What motivates individuals to protect themselves from risks: the case of wildland fires. Risk Anal. 2007;27(4):887–900.PubMedCrossRef
42.
go back to reference Neuwirth K, Dunwoody S, Griffin RJ. Protection motivation and risk communication. Risk Anal. 2000;20(5):721–34.PubMedCrossRef Neuwirth K, Dunwoody S, Griffin RJ. Protection motivation and risk communication. Risk Anal. 2000;20(5):721–34.PubMedCrossRef
43.
go back to reference Slavik CE, Buttle C, Sturrock SL, Darlington JC, Yiannakoulias N. Examining tweet content and engagement of canadian public health agencies and decision makers during COVID-19: mixed methods analysis. J Med Internet Res. 2021;23(3):e24883.PubMedPubMedCentralCrossRef Slavik CE, Buttle C, Sturrock SL, Darlington JC, Yiannakoulias N. Examining tweet content and engagement of canadian public health agencies and decision makers during COVID-19: mixed methods analysis. J Med Internet Res. 2021;23(3):e24883.PubMedPubMedCentralCrossRef
44.
go back to reference Wong R, Harris JK, Staub M, Bernhardt JM. Local health departments tweeting about Ebola: characteristics and messaging. J Public Health Manag Pract. 2017;23(2):e16–24.PubMedCrossRef Wong R, Harris JK, Staub M, Bernhardt JM. Local health departments tweeting about Ebola: characteristics and messaging. J Public Health Manag Pract. 2017;23(2):e16–24.PubMedCrossRef
45.
go back to reference Abedin B, Babar A. Institutional vs. non-institutional use of social media during emergency response: a case of Twitter in 2014 Australian bush fire. Inf Syst Front. 2018;20(4):729–40.CrossRef Abedin B, Babar A. Institutional vs. non-institutional use of social media during emergency response: a case of Twitter in 2014 Australian bush fire. Inf Syst Front. 2018;20(4):729–40.CrossRef
46.
go back to reference Wallsten TS, Budescu DV, Zwick R, Kemp SM. Preferences and reasons for communicating probabilistic information in verbal or numerical terms. Bull Psychon Soc. 1993;31(2):135–8.CrossRef Wallsten TS, Budescu DV, Zwick R, Kemp SM. Preferences and reasons for communicating probabilistic information in verbal or numerical terms. Bull Psychon Soc. 1993;31(2):135–8.CrossRef
47.
go back to reference Vahabi M. The impact of health communication on health-related decision making: a review of evidence. Health Educ. 2007;107(1):27–41.CrossRef Vahabi M. The impact of health communication on health-related decision making: a review of evidence. Health Educ. 2007;107(1):27–41.CrossRef
48.
go back to reference Fagerlin A, Zikmund-Fisher BJ, Ubel PA, Jankovic A, Derry HA, Smith DM. Measuring numeracy without a math test: development of the subjective numeracy scale. Med Decis Making. 2007;27(5):672–80.PubMedCrossRef Fagerlin A, Zikmund-Fisher BJ, Ubel PA, Jankovic A, Derry HA, Smith DM. Measuring numeracy without a math test: development of the subjective numeracy scale. Med Decis Making. 2007;27(5):672–80.PubMedCrossRef
49.
go back to reference Lipkus IM, Numeric. Verbal, and visual formats of conveying health risks: suggested best practices and future recommendations. Med Decis Making. 2007;27(5):696–713.PubMedCrossRef Lipkus IM, Numeric. Verbal, and visual formats of conveying health risks: suggested best practices and future recommendations. Med Decis Making. 2007;27(5):696–713.PubMedCrossRef
50.
go back to reference Andreadis K, Chan E, Park M, Benda NC, Sharma MM, Demetres M, et al. Imprecision and preferences in interpretation of verbal probabilities in health: a systematic review. J GEN INTERN MED. 2021;36(12):3820–9.PubMedPubMedCentralCrossRef Andreadis K, Chan E, Park M, Benda NC, Sharma MM, Demetres M, et al. Imprecision and preferences in interpretation of verbal probabilities in health: a systematic review. J GEN INTERN MED. 2021;36(12):3820–9.PubMedPubMedCentralCrossRef
51.
go back to reference Lazard AJ, Byron MJ, Vu H, Peters E, Schmidt A, Brewer NT. Website designs for communicating about chemicals in cigarette smoke. Health Commun. 2019;34(3):333–42.PubMedCrossRef Lazard AJ, Byron MJ, Vu H, Peters E, Schmidt A, Brewer NT. Website designs for communicating about chemicals in cigarette smoke. Health Commun. 2019;34(3):333–42.PubMedCrossRef
52.
go back to reference Lundgren RE, McMakin AH. 6: principles of risk communication. Risk communication: a handbook for communicating environmental, safety and health risks. 6th ed. Hoboken, NJ, USA: Wiley; 2018. pp. 203–40. Lundgren RE, McMakin AH. 6: principles of risk communication. Risk communication: a handbook for communicating environmental, safety and health risks. 6th ed. Hoboken, NJ, USA: Wiley; 2018. pp. 203–40.
53.
go back to reference Yang X, Zhang L. Message presentation is of importance as well: the asymmetric effects of numeric and verbal presentation of fear appeal messages in promoting waste sorting. Environ Commun. 2022;16(8):1059–76.CrossRef Yang X, Zhang L. Message presentation is of importance as well: the asymmetric effects of numeric and verbal presentation of fear appeal messages in promoting waste sorting. Environ Commun. 2022;16(8):1059–76.CrossRef
54.
go back to reference Peters E, Hart PS, Tusler M, Fraenkel L. Numbers matter to informed patient choices: a randomized design across age and numeracy levels. Med Decis Making. 2014;34(4):430–42.PubMedCrossRef Peters E, Hart PS, Tusler M, Fraenkel L. Numbers matter to informed patient choices: a randomized design across age and numeracy levels. Med Decis Making. 2014;34(4):430–42.PubMedCrossRef
55.
go back to reference Shoots-Reinhard B, Lawrence ER, Schulkin J, Peters E. Excluding numeric side-effect information produces lower vaccine intentions. Vaccine. 2022;40(31):4262–9.PubMedCrossRef Shoots-Reinhard B, Lawrence ER, Schulkin J, Peters E. Excluding numeric side-effect information produces lower vaccine intentions. Vaccine. 2022;40(31):4262–9.PubMedCrossRef
57.
go back to reference Peters E, Dieckmann NF, Västfjäll D, Mertz CK, Slovic P, Hibbard JH. Bringing meaning to numbers: the impact of evaluative categories on decisions. J Exp Psychol Appl. 2009;15(3):213–27.PubMedCrossRef Peters E, Dieckmann NF, Västfjäll D, Mertz CK, Slovic P, Hibbard JH. Bringing meaning to numbers: the impact of evaluative categories on decisions. J Exp Psychol Appl. 2009;15(3):213–27.PubMedCrossRef
58.
go back to reference Wu Y, Zhang L, Wang J, Mou Y. Communicating air quality index information: effects of different styles on individuals’ risk perception and precaution intention. Int J Environ Res Public Health. 2021;18(19):10542.PubMedPubMedCentralCrossRef Wu Y, Zhang L, Wang J, Mou Y. Communicating air quality index information: effects of different styles on individuals’ risk perception and precaution intention. Int J Environ Res Public Health. 2021;18(19):10542.PubMedPubMedCentralCrossRef
59.
go back to reference Heldman AB, Schindelar J, Weaver JB. Social media engagement and public health communication: implications for public health organizations being truly social. Public Health Rev. 2013;35(1):13.CrossRef Heldman AB, Schindelar J, Weaver JB. Social media engagement and public health communication: implications for public health organizations being truly social. Public Health Rev. 2013;35(1):13.CrossRef
60.
go back to reference Boulianne S, Minaker J, Haney TJ. Does compassion go viral? Social media, caring, and the Fort McMurray wildfire. Inf Commun Soc. 2018;21(5):697–711.CrossRef Boulianne S, Minaker J, Haney TJ. Does compassion go viral? Social media, caring, and the Fort McMurray wildfire. Inf Commun Soc. 2018;21(5):697–711.CrossRef
61.
go back to reference Yang SU, Kang M, Johnson P. Effects of narratives, openness to dialogic communication, and credibility on engagement in crisis communication through organizational blogs. Commun Res. 2010;37(4):473–97.CrossRef Yang SU, Kang M, Johnson P. Effects of narratives, openness to dialogic communication, and credibility on engagement in crisis communication through organizational blogs. Commun Res. 2010;37(4):473–97.CrossRef
62.
go back to reference Eisenman DP, Williams MV, Glik D, Long A, Plough AL, Ong M. The public health disaster trust scale: validation of a brief measure. J Public Health Manag Pract. 2012;18(4):E11–8.PubMedCrossRef Eisenman DP, Williams MV, Glik D, Long A, Plough AL, Ong M. The public health disaster trust scale: validation of a brief measure. J Public Health Manag Pract. 2012;18(4):E11–8.PubMedCrossRef
64.
go back to reference Kotchenruther RA. Source apportionment of PM2.5 at multiple Northwest U.S. sites: assessing regional winter wood smoke impacts from residential wood combustion. Atmos Environ. 2016;142:210–9.ADSCrossRef Kotchenruther RA. Source apportionment of PM2.5 at multiple Northwest U.S. sites: assessing regional winter wood smoke impacts from residential wood combustion. Atmos Environ. 2016;142:210–9.ADSCrossRef
66.
go back to reference Burke M, Childs ML, de la Cuesta B, Qiu M, Li J, Gould CF et al. The contribution of wildfire to PM2.5 trends in the USA. Nature. 2023;1–6. Burke M, Childs ML, de la Cuesta B, Qiu M, Li J, Gould CF et al. The contribution of wildfire to PM2.5 trends in the USA. Nature. 2023;1–6.
68.
go back to reference Zhang H, Wheldon C, Dunn AG, Tao C, Huo J, Zhang R, et al. Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States. J Am Med Inform Assoc. 2020;27(2):225–35.PubMedCrossRef Zhang H, Wheldon C, Dunn AG, Tao C, Huo J, Zhang R, et al. Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States. J Am Med Inform Assoc. 2020;27(2):225–35.PubMedCrossRef
69.
go back to reference Boyd RL, Ashokkumar A, Seraj S, Pennebaker JW. The development and psychometric properties of LIWC-22. Austin, TX: University of Texas at Austin; 2022. Available from: https://www.liwc.app Boyd RL, Ashokkumar A, Seraj S, Pennebaker JW. The development and psychometric properties of LIWC-22. Austin, TX: University of Texas at Austin; 2022. Available from: https://​www.​liwc.​app
70.
go back to reference Tausczik YR, Pennebaker JW. The psychological meaning of words: LIWC and computerized text analysis methods. J Lang Soc Psychol. 2010;29(1):24–54.CrossRef Tausczik YR, Pennebaker JW. The psychological meaning of words: LIWC and computerized text analysis methods. J Lang Soc Psychol. 2010;29(1):24–54.CrossRef
71.
go back to reference Vargha A, Delaney HD. A critique and improvement of the CL common language effect size statistics of McGraw and Wong. J Educ Behav Stat. 2000;25(2):101–32. Vargha A, Delaney HD. A critique and improvement of the CL common language effect size statistics of McGraw and Wong. J Educ Behav Stat. 2000;25(2):101–32.
72.
go back to reference Dunn OJ. Multiple comparisons using rank sums. Technometrics. 1964;6(3):241–52.CrossRef Dunn OJ. Multiple comparisons using rank sums. Technometrics. 1964;6(3):241–52.CrossRef
73.
go back to reference Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol). 1995;57(1):289–300.MathSciNet Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol). 1995;57(1):289–300.MathSciNet
75.
go back to reference Rice MB, Henderson SB, Lambert AA, Cromar KR, Hall JA, Cascio WE, et al. Respiratory impacts of wildland fire smoke: future challenges and policy opportunities. An official American thoracic Society Workshop Report. Annals ATS. 2021;18(6):921–30.CrossRef Rice MB, Henderson SB, Lambert AA, Cromar KR, Hall JA, Cascio WE, et al. Respiratory impacts of wildland fire smoke: future challenges and policy opportunities. An official American thoracic Society Workshop Report. Annals ATS. 2021;18(6):921–30.CrossRef
78.
go back to reference Reilly MJ, Zuspan A, Halofsky JS, Raymond C, McEvoy A, Dye AW, et al. Cascadia burning: the historic, but not historically unprecedented, 2020 wildfires in the Pacific Northwest. USA Ecosphere. 2022;13(6):e4070.CrossRef Reilly MJ, Zuspan A, Halofsky JS, Raymond C, McEvoy A, Dye AW, et al. Cascadia burning: the historic, but not historically unprecedented, 2020 wildfires in the Pacific Northwest. USA Ecosphere. 2022;13(6):e4070.CrossRef
Metadata
Title
Clearing the air: evaluating institutions’ social media health messaging on wildfire and smoke risks in the US Pacific Northwest
Authors
Catherine E. Slavik
Daniel A. Chapman
Alex Segrè Cohen
Nahla Bendefaa
Ellen Peters
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-17907-1

Other articles of this Issue 1/2024

BMC Public Health 1/2024 Go to the issue