2022
DOI: 10.1177/17416590221081166
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From dealing to influencing: Online marketing of cannabis on Instagram

Abstract: In this paper we argue that legal and technological shifts in cannabis marketing has a gendered impact, which research so far has ignored. Despite high variations in national criminal laws, US-based social media platforms like Instagram, Facebook, and Twitter play a huge role in enforcing certain social and political standpoints on a global scale. One example being the recent legalization and commercialization of cannabis in various states in the US. Young men with dark, anonymous profiles illegally dealing ca… Show more

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Cited by 10 publications
(10 citation statements)
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“…Studies that examined social media users and drug advertisements tended to use a mixture of quantitative and qualitative methods for data collection such as surveys [81,83,85], interviews/focus groups [76,77,79,80] and ethnographies [78,85]. Methods of data analysis ranged from content analysis [83] to the use of logistic regression to analyse survey data [23,81].…”
Section: Characteristics Of Users: Buyers and Sellersmentioning
confidence: 99%
See 4 more Smart Citations
“…Studies that examined social media users and drug advertisements tended to use a mixture of quantitative and qualitative methods for data collection such as surveys [81,83,85], interviews/focus groups [76,77,79,80] and ethnographies [78,85]. Methods of data analysis ranged from content analysis [83] to the use of logistic regression to analyse survey data [23,81].…”
Section: Characteristics Of Users: Buyers and Sellersmentioning
confidence: 99%
“…This also applies to integrating different kinds of drugs in models as the popularity of synthetic drugs are on the rise [6,12,104] but rarely focused on in the literature. Illicit drugs have been found to be advertised differently if they are presented as 'study', 'mental health' or 'wellness' drugs [38,77,85]. This highlights the necessity for future research on detection to integrate the behaviour of users.…”
Section: Towards An Integrated Approach To Detectionmentioning
confidence: 99%
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