arXiv 2103.157642021-03-29cs.AI

eDarkTrends：利用社交媒体趋势在Cryptomarket上的阿片类药物列表中的物质使用障碍

eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket

Artificial Intelligence Institute, University of South Carolina（南卡罗来纳大学人工智能研究所）；Mahidol University（玛希隆大学）；BITS Pilani（比拉技术与科学学院皮拉尼校区）；Arizona State University（亚利桑那州立大学）；Ohio State University（俄亥俄州立大学）

Usha Lokala, Francois Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit Sheth

备注：: 6 pages, ICLR AI for Public Health Workshop 2021

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摘要：

阿片类药物和药物滥用在今天的美国非常猖獗，这种现象被称为阿片类药物危机。物质使用与心理健康之间的关系已被广泛研究，其中一种可能的关系是物质滥用导致心理健康状况不佳。然而，由于缺乏关于这种关系的证据，阿片类药物在很大程度上无法通过法律手段获得。这项研究分析了社交媒体上的药物滥用帖子，其中阿片类药物通过加密市场列表出售。我们使用药物滥用本体论、最先进的深度学习和基于BERT的模型来为社交媒体帖子生成情感和情绪，以通过调查以下问题来了解社交媒体上的用户感知：哪些合成阿片类药物的人是乐观的，中立的，或者消极的，或者什么样的药物会引起恐惧和悲伤，或者人们喜欢什么样的药物，或者对什么样的药物心存感激，或者人们对什么样的药物有消极的看法，关于或哪些阿片类药物几乎不会引起任何情感反应。我们还执行与生成的情感和情绪相关的主题分析，以了解哪些主题与人们对各种药物的反应相关。我们的研究结果可以帮助制定政策，以帮助隔离阿片类药物使用案例，在这些案例中可能需要及时干预，以防止不良后果，防止过量相关死亡，并使疫情恶化。

英文摘要：

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the opioid crisis. The relationship between substance use and mental health has been extensively studied, with one possible relationship being substance misuse causes poor mental health. However, the lack of evidence on the relationship has resulted in opioids being largely inaccessible through legal means. This study analyzes the substance misuse posts on social media with the opioids being sold through crypto market listings. We use the Drug Abuse Ontology, state-of-the-art deep learning, and BERT-based models to generate sentiment and emotion for the social media posts to understand user perception on social media by investigating questions such as, which synthetic opioids people are optimistic, neutral, or negative about or what kind of drugs induced fear and sorrow or what kind of drugs people love or thankful about or which drug people think negatively about or which opioids cause little to no sentimental reaction. We also perform topic analysis associated with the generated sentiments and emotions to understand which topics correlate with people's responses to various drugs. Our findings can help shape policy to help isolate opioid use cases where timely intervention may be required to prevent adverse consequences, prevent overdose-related deaths, and worsen the epidemic.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。