Jeannette Sutton1, Sarah C Vos2, Michele K Olson2, Chelsea Woods3, Elisia Cohen4, C Ben Gibson5, Nolan Edward Phillips5, Jamie L Studts6, Jan M Eberth7, Carter T Butts8. 1. Department of Communication, University of Kentucky, Lexington, Kentucky. Electronic address: Jeannette.sutton@uky.edu. 2. Department of Communication, University of Kentucky, Lexington, Kentucky. 3. Department of Communication, Virginia Tech, Blacksburg, Virginia. 4. School of Journalism and Mass Communication, University of Minnesota, Minneapolis, Minnesota. 5. Department of Sociology, University of California Irvine, Irvine, California. 6. Department of Behavioral Science, University of Kentucky, Lexington, Kentucky. 7. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina. Electronic address: jmeberth@mailbox.sc.edu. 8. Departments of Sociology, Statistics, and Electrical Engineering and Computer Science (EECS) and the Institute for Mathematical Behavioral Sciences, University of California Irvine, Irvine, California.
Abstract
PURPOSE: The aim of this project was to describe and evaluate the levels of lung cancer communication across the cancer prevention and control continuum for content posted to Twitter during a 10-day period (September 30 to October 9) in 2016. METHODS: Descriptive and inferential statistics were used to identify relationships between tweet characteristics in lung cancer communication on Twitter and user-level data. Overall, 3,000 tweets published between September 30 and October 9 were assessed by a team of three coders. Lung cancer-specific tweets by user type (individuals, media, and organizations) were examined to identify content and structural message features. The study also assessed differences by user type in the use of hashtags, directed messages, health topic focus, and lung cancer-specific focus across the cancer control continuum. RESULTS: Across the universe of lung cancer tweets, the majority of tweets focused on treatment and the use of pharmaceutical and research interventions, followed by awareness and prevention and risk topics. Among all lung cancer tweets, messages were most consistently tweeted by individual users, and personal behavioral mobilizing cues to action were rare. CONCLUSIONS: Lung cancer advocates, as well as patient and medical advocacy organizations, with an interest in expanding the reach and effectiveness of social media efforts should monitor the topical nature of public tweets across the cancer continuum and consider integrating cues to action as a strategy to increase engagement and behavioral activation pertaining to lung cancer reduction efforts.
PURPOSE: The aim of this project was to describe and evaluate the levels of lung cancer communication across the cancer prevention and control continuum for content posted to Twitter during a 10-day period (September 30 to October 9) in 2016. METHODS: Descriptive and inferential statistics were used to identify relationships between tweet characteristics in lung cancer communication on Twitter and user-level data. Overall, 3,000 tweets published between September 30 and October 9 were assessed by a team of three coders. Lung cancer-specific tweets by user type (individuals, media, and organizations) were examined to identify content and structural message features. The study also assessed differences by user type in the use of hashtags, directed messages, health topic focus, and lung cancer-specific focus across the cancer control continuum. RESULTS: Across the universe of lung cancertweets, the majority of tweets focused on treatment and the use of pharmaceutical and research interventions, followed by awareness and prevention and risk topics. Among all lung cancertweets, messages were most consistently tweeted by individual users, and personal behavioral mobilizing cues to action were rare. CONCLUSIONS:Lung cancer advocates, as well as patient and medical advocacy organizations, with an interest in expanding the reach and effectiveness of social media efforts should monitor the topical nature of public tweets across the cancer continuum and consider integrating cues to action as a strategy to increase engagement and behavioral activation pertaining to lung cancer reduction efforts.
Authors: Stacie B Dusetzina PhD; Lindsey Enewold Mph PhD; Danielle Gentile PhD; Scott D Ramsey Md PhD; Michael T Halpern Journal: J Natl Cancer Inst Monogr Date: 2022-07-05
Authors: Nayeli A Martinez-Ibarra; Yuly A Remolina-Bonilla; Hector H Buerba-Vieregge; Regina Barragan-Carrillo; Francisco J Castro-Alonso; Samantha Mateos-Corella; Maria T Bourlon Journal: Front Endocrinol (Lausanne) Date: 2022-06-29 Impact factor: 6.055
Authors: Miguel Angel Alvarez-Mon; María Llavero-Valero; Angel Asunsolo Del Barco; Melchor Alvarez-Mon; Rodrigo Sánchez-Bayona; Victor Pereira-Sanchez; Maria Vallejo-Valdivielso; Jorge Monserrat; Guillermo Lahera Journal: J Med Internet Res Date: 2019-05-28 Impact factor: 5.428