Published on 27.06.14 in Vol 16, No 6 (2014): June
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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Lewis N, Sznitman SR. 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
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Krauss MJ, Sowles SJ, Moreno M, Zewdie K, Grucza RA, Bierut LJ, Cavazos-Rehg PA. Hookah-Related Twitter Chatter: A Content Analysis. Preventing Chronic Disease 2015;12
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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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Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353
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Salimian PK, Chunara R, Weitzman ER. Averting the Perfect Storm: Addressing Youth Substance Use Risk From Social Media Use. Pediatric Annals 2014;43(10)
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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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Pizzicato LN, Barbour RC, Kershaw T. Evaluating alcohol and marijuana use among emerging adult males via analysis of text messages. Substance Use & Misuse 2019;54(9):1547
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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
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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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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
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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
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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)
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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
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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
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Chie QT, Tam CL, Bonn G. Malaysians' Preferences and Concerns Regarding Seeking Information About Illegal Drugs. Frontiers in Public Health 2018;6
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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
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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
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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
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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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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
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. Marijuana Use in Youth from Bench to Bedside to Longitudinal Outlook. The Canadian Journal of Psychiatry 2016;61(6):316
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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
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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
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Steers MN, Moreno MA, Neighbors C. The Influence of Social Media on Addictive Behaviors in College Students. Current Addiction Reports 2016;3(4):343
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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
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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
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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
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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
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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)
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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
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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
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Dai H, Hao J. Mining social media data for opinion polarities about electronic cigarettes. Tobacco Control 2017;26(2):175
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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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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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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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
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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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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
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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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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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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
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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
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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
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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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Cavazos-Rehg PA, Krauss MJ, Sowles SJ, Bierut LJ. Marijuana-Related Posts on Instagram. Prevention Science 2016;17(6):710
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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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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
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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
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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
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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
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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
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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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Bhatia S, Walasek L. Event construal and temporal distance in natural language. Cognition 2016;152:1
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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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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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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
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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)
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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
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Vraga EK, Bode L, Tully M. Creating News Literacy Messages to Enhance Expert Corrections of Misinformation on Twitter. Communication Research 2022;49(2):245
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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
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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
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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
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. 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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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
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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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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)
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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
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3247):
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Wei Y, Singh L. Surveillance in Action. 2018. Chapter 17:351
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Buller DB, Walkosz BJ, Gill Woodall W. Prevention of Substance Use. 2019. Chapter 20:319
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Optican A, Cavazos-Rehg PA. Child and Adolescent Psychiatry and the Media. 2019. :61
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Sevigny EL, Fuleihan B. The Handbook of Drugs and Society. 2015. :258
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Virani S, Recupero PR. Technology-Assisted Interventions for Substance Use Disorders. 2023. Chapter 13:107
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