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Citing this Article

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Published on 27.06.14 in Vol 16, No 6 (2014): June

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3247):

(note that this is only a small subset of citations)

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  3. Choo EK, Emery SL. 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
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  6. Moreno MA, Whitehill JM. #Wasted: the intersection of substance use behaviors and social media in adolescents and young adults. Current Opinion in Psychology 2016;9:72
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  8. Cawkwell PB, Lee L, Weitzman M, Sherman SE. Tracking Hookah Bars in New York: Utilizing Yelp as a Powerful Public Health Tool. JMIR Public Health and Surveillance 2015;1(2):e19
    CrossRef
  9. Wang Z, Yang X, Mo PKH, Fang Y, Ip TKM, Lau JTF. 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
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    CrossRef
  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
    CrossRef
  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)
    CrossRef
  13. Berg CJ, Getachew B, Pulvers K, Sussman S, Wagener TL, Meyers C, Park A, Dorvil S, Patterson A, Weber A, Hayes RB, Barker DC, Henriksen L. Vape shop owners’/managers’ attitudes about CBD, THC, and marijuana legal markets. Preventive Medicine Reports 2020;20:101208
    CrossRef
  14. D’Amico EJ, Rodriguez A, Tucker JS, Pedersen ER, Shih RA. 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
    CrossRef
  15. Chie QT, Tam CL, Bonn G. Malaysians' Preferences and Concerns Regarding Seeking Information About Illegal Drugs. Frontiers in Public Health 2018;6
    CrossRef
  16. Peiper NC, 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
    CrossRef
  17. Cavazos-Rehg PA, Krauss M, Fisher SL, Salyer P, Grucza RA, Bierut LJ. Twitter Chatter About Marijuana. Journal of Adolescent Health 2015;56(2):139
    CrossRef
  18. Bode L, Vraga EK. In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media. Journal of Communication 2015;65(4):619
    CrossRef
  19. Schwab-Reese LM, 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
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  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
    CrossRef
  21. . Marijuana Use in Youth from Bench to Bedside to Longitudinal Outlook. The Canadian Journal of Psychiatry 2016;61(6):316
    CrossRef
  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
    CrossRef
  23. Borodovsky JT, Marsch LA, Budney AJ. Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights. JMIR Public Health and Surveillance 2018;4(2):e48
    CrossRef
  24. Steers MN, Moreno MA, Neighbors C. The Influence of Social Media on Addictive Behaviors in College Students. Current Addiction Reports 2016;3(4):343
    CrossRef
  25. Montgomery L, Mantey DS. 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
    CrossRef
  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
    CrossRef
  27. Berg CJ, Henriksen L, Cavazos-Rehg P, Schauer GL, 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
    CrossRef
  28. Cavazos-Rehg PA, Zewdie K, Krauss MJ, Sowles SJ. “No High Like a Brownie High”: A Content Analysis of Edible Marijuana Tweets. American Journal of Health Promotion 2018;32(4):880
    CrossRef
  29. Schootman M, Nelson EJ, 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)
    CrossRef
  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
    CrossRef
  31. Cavazos-Rehg PA, Sowles SJ, Krauss MJ, Agbonavbare V, Grucza R, Bierut L. A content analysis of tweets about high-potency marijuana. Drug and Alcohol Dependence 2016;166:100
    CrossRef
  32. Dai H, Hao J. Mining social media data for opinion polarities about electronic cigarettes. Tobacco Control 2017;26(2):175
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  33. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  34. Young SD, Padwa H, Bonar EE. Social Big Data as a Tool for Understanding and Predicting the Impact of Cannabis Legalization. Frontiers in Public Health 2019;7
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  35. Moreno MA, 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
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  36. Kazemi DM, Borsari B, Levine MJ, Dooley B. Systematic review of surveillance by social media platforms for illicit drug use. Journal of Public Health 2017;39(4):763
    CrossRef
  37. Park S, Holody KJ. Content, Exposure, and Effects of Public Discourses about Marijuana: A Systematic Review. Journal of Health Communication 2018;23(12):1036
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  38. Metwally O, Blumberg S, Ladabaum U, Sinha SR. 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
    CrossRef
  39. Thompson L, Rivara FP, Whitehill JM. Prevalence of Marijuana-Related Traffic on Twitter, 2012–2013: A Content Analysis. Cyberpsychology, Behavior, and Social Networking 2015;18(6):311
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  40. Chung T, Pelechrinis K, Faloutsos M, Hylek L, Suffoletto B, Feldstein Ewing SW. Innovative Routes for Enhancing Adolescent Marijuana Treatment: Interplay of Peer Influence Across Social Media and Geolocation. Current Addiction Reports 2016;3(2):221
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  41. Peiper NC, Baumgartner PM, Chew RF, Hsieh YP, Bieler GS, Bobashev GV, Siege C, Zarkin GA. Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California. Journal of Medical Internet Research 2017;19(7):e236
    CrossRef
  42. Alhabash S, VanDam C, Tan P, Smith SW, 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
    CrossRef
  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
    CrossRef
  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
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  45. Cavazos-Rehg PA, Krauss MJ, Sowles SJ, Bierut LJ. Marijuana-Related Posts on Instagram. Prevention Science 2016;17(6):710
    CrossRef
  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
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  47. Rummo PE, Cassidy O, Wells I, Coffino JA, Bragg MA. 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
    CrossRef
  48. Daniulaityte R, Nahhas RW, Wijeratne S, Carlson RG, Lamy FR, Martins SS, Boyer EW, Smith GA, Sheth A. “Time for dabs”: Analyzing Twitter data on marijuana concentrates across the U.S.. Drug and Alcohol Dependence 2015;155:307
    CrossRef
  49. Chary M, Genes N, Giraud-Carrier C, Hanson C, Nelson LS, Manini AF. Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media. Journal of Medical Toxicology 2017;13(4):278
    CrossRef
  50. Berg CJ, Henriksen L, Cavazos-Rehg PA, Haardoerfer R, Freisthler B. The emerging marijuana retail environment: Key lessons learned from tobacco and alcohol retail research. Addictive Behaviors 2018;81:26
    CrossRef
  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
    CrossRef
  52. Krauss MJ, Sowles SJ, Mylvaganam S, Zewdie K, Bierut LJ, Cavazos-Rehg PA. Displays of dabbing marijuana extracts on YouTube. Drug and Alcohol Dependence 2015;155:45
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  53. Bhatia S, Walasek L. Event construal and temporal distance in natural language. Cognition 2016;152:1
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  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
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  55. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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  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
    CrossRef
  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)
    CrossRef
  58. Rutherford BN, Lim CCW, Johnson B, Cheng B, Chung J, Huang S, Sun T, Leung J, Stjepanović D, Chan GCK. #TurntTrending: a systematic review of substance use portrayals on social media platforms. Addiction 2023;118(2):206
    CrossRef
  59. Vraga EK, Bode L, Tully M. Creating News Literacy Messages to Enhance Expert Corrections of Misinformation on Twitter. Communication Research 2022;49(2):245
    CrossRef
  60. Gu Y, Coffino J, Boswell R, Hall Z, Bragg MA. 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
    CrossRef
  61. Willoughby JF, Hust SJT, 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
    CrossRef
  62. Scheibein F, Donnelly W, Wells JS. Assessing open science and citizen science in addictions and substance use research: A scoping review. International Journal of Drug Policy 2022;100:103505
    CrossRef
  63. . 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
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  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
    CrossRef
  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
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  66. Osilla KC, D’Amico EJ, 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)
    CrossRef
  67. Berg CJ, Romm KF, Pannell A, Sridharan P, Sapra T, Rajamahanty A, Cui Y, Wang Y, Yang YT, Cavazos-Rehg PA. Cannabis retailer marketing strategies and regulatory compliance: A surveillance study of retailers in 5 US cities. Addictive Behaviors 2023;143:107696
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3247):

  1. Wei Y, Singh L. Surveillance in Action. 2018. Chapter 17:351
    CrossRef
  2. Buller DB, Walkosz BJ, Gill Woodall W. Prevention of Substance Use. 2019. Chapter 20:319
    CrossRef
  3. Optican A, Cavazos-Rehg PA. Child and Adolescent Psychiatry and the Media. 2019. :61
    CrossRef
  4. Sevigny EL, Fuleihan B. The Handbook of Drugs and Society. 2015. :258
    CrossRef
  5. Virani S, Recupero PR. Technology-Assisted Interventions for Substance Use Disorders. 2023. Chapter 13:107
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