Published on in Vol 16, No 6 (2014): June

Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle

Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle

Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle

Journals

  1. Lewis N, Sznitman S. Engagement with medical cannabis information from online and mass media sources: Is it related to medical cannabis attitudes and support for legalization?. International Journal of Drug Policy 2019;73:219 View
  2. Krauss M, Sowles S, Moreno M, Zewdie K, Grucza R, Bierut L, Cavazos-Rehg P. Hookah-Related Twitter Chatter: A Content Analysis. Preventing Chronic Disease 2015;12 View
  3. Choo E, Emery S. Clearing the haze: the complexities and challenges of research on state marijuana laws. Annals of the New York Academy of Sciences 2017;1394(1):55 View
  4. Kim S, Marsch L, Hancock J, Das A. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353 View
  5. Salimian P, Chunara R, Weitzman E. Averting the Perfect Storm: Addressing Youth Substance Use Risk From Social Media Use. Pediatric Annals 2014;43(10) View
  6. Moreno M, Whitehill J. #Wasted: the intersection of substance use behaviors and social media in adolescents and young adults. Current Opinion in Psychology 2016;9:72 View
  7. Pizzicato L, Barbour R, Kershaw T. Evaluating alcohol and marijuana use among emerging adult males via analysis of text messages. Substance Use & Misuse 2019;54(9):1547 View
  8. Cawkwell P, Lee L, Weitzman M, Sherman S. Tracking Hookah Bars in New York: Utilizing Yelp as a Powerful Public Health Tool. JMIR Public Health and Surveillance 2015;1(2):e19 View
  9. Wang Z, Yang X, Mo P, Fang Y, Ip T, Lau J. Influence of Social Media on Sexualized Drug Use and Chemsex Among Chinese Men Who Have Sex With Men: Observational Prospective Cohort Study. Journal of Medical Internet Research 2020;22(7):e17894 View
  10. Levy H, Sarmento C. Understanding Viral Communism: A Thematic Analysis of Twitter During Brazil’s 2018 Elections. Westminster Papers in Communication and Culture 2020;15(1):19 View
  11. Adrover C, Bodnar T, Huang Z, Telenti A, Salathé M. Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter. JMIR Public Health and Surveillance 2015;1(2):e7 View
  12. Thaikla K, Pinyopornpanish K, Jiraporncharoen W, Angkurawaranon C. Cannabis and Kratom online information in Thailand: Facebook trends 2015–2016. Substance Abuse Treatment, Prevention, and Policy 2018;13(1) View
  13. Berg C, Getachew B, Pulvers K, Sussman S, Wagener T, Meyers C, Park A, Dorvil S, Patterson A, Weber A, Hayes R, Barker D, Henriksen L. Vape shop owners’/managers’ attitudes about CBD, THC, and marijuana legal markets. Preventive Medicine Reports 2020;20:101208 View
  14. D’Amico E, Rodriguez A, Tucker J, Pedersen E, Shih R. Planting the seed for marijuana use: Changes in exposure to medical marijuana advertising and subsequent adolescent marijuana use, cognitions, and consequences over seven years. Drug and Alcohol Dependence 2018;188:385 View
  15. Chie Q, Tam C, Bonn G. Malaysians' Preferences and Concerns Regarding Seeking Information About Illegal Drugs. Frontiers in Public Health 2018;6 View
  16. Peiper N, Gourdet C, Meinhofer A, Reiman A, Reggente N. Medical Decision-Making Processes and Online Behaviors Among Cannabis Dispensary Staff. Substance Abuse: Research and Treatment 2017;11:117822181772551 View
  17. Cavazos-Rehg P, Krauss M, Fisher S, Salyer P, Grucza R, Bierut L. Twitter Chatter About Marijuana. Journal of Adolescent Health 2015;56(2):139 View
  18. Bode L, Vraga E. In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media. Journal of Communication 2015;65(4):619 View
  19. Schwab-Reese L, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187 View
  20. van Draanen J, Tao H, Gupta S, Liu S. Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(4):e18540 View
  21. Osuch E. Marijuana Use in Youth from Bench to Bedside to Longitudinal Outlook. The Canadian Journal of Psychiatry 2016;61(6):316 View
  22. Montgomery L, Heidelburg K, Robinson C. Characterizing Blunt Use Among Twitter Users: Racial/Ethnic Differences in Use Patterns and Characteristics. Substance Use & Misuse 2018;53(3):501 View
  23. Borodovsky J, Marsch L, Budney A. Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights. JMIR Public Health and Surveillance 2018;4(2):e48 View
  24. Steers M, Moreno M, Neighbors C. The Influence of Social Media on Addictive Behaviors in College Students. Current Addiction Reports 2016;3(4):343 View
  25. Montgomery L, Mantey D. Correlates of Blunt Smoking Among African American, Hispanic/Latino, and White Adults: Results From the 2014 National Survey on Drug Use and Health. Substance Use & Misuse 2017;52(11):1449 View
  26. Sarker A, O’Connor K, Ginn R, Scotch M, Smith K, Malone D, Gonzalez G. Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter. Drug Safety 2016;39(3):231 View
  27. Berg C, Henriksen L, Cavazos-Rehg P, Schauer G, Freisthler B. The development and pilot testing of the marijuana retail surveillance tool (MRST): assessing marketing and point-of-sale practices among recreational marijuana retailers. Health Education Research 2017;32(6):465 View
  28. Cavazos-Rehg P, Zewdie K, Krauss M, Sowles S. “No High Like a Brownie High”: A Content Analysis of Edible Marijuana Tweets. American Journal of Health Promotion 2018;32(4):880 View
  29. Schootman M, Nelson E, Werner K, Shacham E, Elliott M, Ratnapradipa K, Lian M, McVay A. Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps. International Journal of Health Geographics 2016;15(1) View
  30. Baumgartner P, Peiper N. Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users. Substance Abuse: Research and Treatment 2017;11:117822181771142 View
  31. Cavazos-Rehg P, Sowles S, Krauss M, Agbonavbare V, Grucza R, Bierut L. A content analysis of tweets about high-potency marijuana. Drug and Alcohol Dependence 2016;166:100 View
  32. Dai H, Hao J. Mining social media data for opinion polarities about electronic cigarettes. Tobacco Control 2017;26(2):175 View
  33. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  34. Young S, Padwa H, Bonar E. Social Big Data as a Tool for Understanding and Predicting the Impact of Cannabis Legalization. Frontiers in Public Health 2019;7 View
  35. Moreno M, Arseniev-Koehler A, Litt D, Christakis D. Evaluating College Students' Displayed Alcohol References on Facebook and Twitter. Journal of Adolescent Health 2016;58(5):527 View
  36. Kazemi D, Borsari B, Levine M, Dooley B. Systematic review of surveillance by social media platforms for illicit drug use. Journal of Public Health 2017;39(4):763 View
  37. Park S, Holody K. Content, Exposure, and Effects of Public Discourses about Marijuana: A Systematic Review. Journal of Health Communication 2018;23(12):1036 View
  38. Metwally O, Blumberg S, Ladabaum U, Sinha S. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study. Journal of Medical Internet Research 2017;19(6):e200 View
  39. Thompson L, Rivara F, Whitehill J. Prevalence of Marijuana-Related Traffic on Twitter, 2012–2013: A Content Analysis. Cyberpsychology, Behavior, and Social Networking 2015;18(6):311 View
  40. Chung T, Pelechrinis K, Faloutsos M, Hylek L, Suffoletto B, Feldstein Ewing S. Innovative Routes for Enhancing Adolescent Marijuana Treatment: Interplay of Peer Influence Across Social Media and Geolocation. Current Addiction Reports 2016;3(2):221 View
  41. Peiper N, Baumgartner P, Chew R, Hsieh Y, Bieler G, Bobashev G, Siege C, Zarkin G. Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California. Journal of Medical Internet Research 2017;19(7):e236 View
  42. Alhabash S, VanDam C, Tan P, Smith S, Viken G, Kanver D, Tian L, Figueira L. 140 Characters of Intoxication: Exploring the Prevalence of Alcohol-Related Tweets and Predicting Their Virality. SAGE Open 2018;8(4):215824401880313 View
  43. Cornelius J, Kennedy A, Wesslen R. An Examination of Twitter Data to Identify Risky Sexual Practices Among Youth and Young Adults in Botswana. International Journal of Environmental Research and Public Health 2019;16(4):656 View
  44. Modrek S, Chakalov B. The #MeToo Movement in the United States: Text Analysis of Early Twitter Conversations. Journal of Medical Internet Research 2019;21(9):e13837 View
  45. Cavazos-Rehg P, Krauss M, Sowles S, Bierut L. Marijuana-Related Posts on Instagram. Prevention Science 2016;17(6):710 View
  46. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1 View
  47. Rummo P, Cassidy O, Wells I, Coffino J, Bragg M. Examining the Relationship between Youth-Targeted Food Marketing Expenditures and the Demographics of Social Media Followers. International Journal of Environmental Research and Public Health 2020;17(5):1631 View
  48. Daniulaityte R, Nahhas R, Wijeratne S, Carlson R, Lamy F, Martins S, Boyer E, Smith G, Sheth A. “Time for dabs”: Analyzing Twitter data on marijuana concentrates across the U.S.. Drug and Alcohol Dependence 2015;155:307 View
  49. Chary M, Genes N, Giraud-Carrier C, Hanson C, Nelson L, Manini A. Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media. Journal of Medical Toxicology 2017;13(4):278 View
  50. Berg C, Henriksen L, Cavazos-Rehg P, Haardoerfer R, Freisthler B. The emerging marijuana retail environment: Key lessons learned from tobacco and alcohol retail research. Addictive Behaviors 2018;81:26 View
  51. Fogel J, Travis Y. Twitter use related to reality television characters: Association with increased marijuana use. Journal of Organizational Computing and Electronic Commerce 2017;27(2):152 View
  52. Krauss M, Sowles S, Mylvaganam S, Zewdie K, Bierut L, Cavazos-Rehg P. Displays of dabbing marijuana extracts on YouTube. Drug and Alcohol Dependence 2015;155:45 View
  53. Bhatia S, Walasek L. Event construal and temporal distance in natural language. Cognition 2016;152:1 View
  54. Chu K, Colditz J, Sidani J, Zimmer M, Primack B. Re-evaluating standards of human subjects protection for sensitive health data in social media networks. Social Networks 2021;67:41 View
  55. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  56. Manheim D, Gesser-Edelsburg A. The Structure of Tweets About Vaccine Safety Between Health Organizations, Experts, and the Public: Analyzing Risk Communication Conversations. Disaster Medicine and Public Health Preparedness 2022;16(3):927 View
  57. Najafizada M, Rahman A, Donnan J, Dong Z, Bishop L. Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data. Journal of Cannabis Research 2022;4(1) View
  58. Rutherford B, Lim C, Johnson B, Cheng B, Chung J, Huang S, Sun T, Leung J, Stjepanović D, Chan G. #TurntTrending: a systematic review of substance use portrayals on social media platforms. Addiction 2023;118(2):206 View
  59. Vraga E, Bode L, Tully M. Creating News Literacy Messages to Enhance Expert Corrections of Misinformation on Twitter. Communication Research 2022;49(2):245 View
  60. Gu Y, Coffino J, Boswell R, Hall Z, Bragg M. Associations between State-Level Obesity Rates, Engagement with Food Brands on Social Media, and Hashtag Usage. International Journal of Environmental Research and Public Health 2021;18(23):12785 View
  61. Willoughby J, Hust S, Li J, Couto L. Exposure to Pro and Anti-Cannabis Social Media Messages and Teens’ and College Students’ Intentions to Use Cannabis. Health Communication 2024;39(1):183 View
  62. Scheibein F, Donnelly W, Wells J. Assessing open science and citizen science in addictions and substance use research: A scoping review. International Journal of Drug Policy 2022;100:103505 View
  63. Abhinav Potineni . Inexpensive Detection of Substance Abuse Based on Social Media Data using Machine Learning. International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2022:01 View
  64. Lyu H, Chen L, Wang Y, Luo J. Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19. IEEE Transactions on Big Data 2021;7(6):952 View
  65. Golder S, Stevens R, O'Connor K, James R, Gonzalez-Hernandez G. Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review. Journal of Medical Internet Research 2022;24(4):e35788 View
  66. Osilla K, D’Amico E, Smart R, Rodriguez A, Nameth K, Hummer J. Study design to evaluate a web-intervention to prevent alcohol and cannabis-impaired driving and use among adolescents in driver education. Addiction Science & Clinical Practice 2023;18(1) View
  67. Berg C, Romm K, Pannell A, Sridharan P, Sapra T, Rajamahanty A, Cui Y, Wang Y, Yang Y, Cavazos-Rehg P. Cannabis retailer marketing strategies and regulatory compliance: A surveillance study of retailers in 5 US cities. Addictive Behaviors 2023;143:107696 View

Books/Policy Documents

  1. Wei Y, Singh L. Surveillance in Action. View
  2. Buller D, Walkosz B, Gill Woodall W. Prevention of Substance Use. View
  3. Optican A, Cavazos-Rehg P. Child and Adolescent Psychiatry and the Media. View
  4. Sevigny E, Fuleihan B. The Handbook of Drugs and Society. View
  5. Virani S, Recupero P. Technology-Assisted Interventions for Substance Use Disorders. View