Trending: Social media analysis to monitor cannabis and synthetic cannabinoid use

趋势：监测大麻和合成大麻素使用的社交媒体分析

• 批准号: 8913112
• 负责人: Raminta Daniulaityte
• 金额: $ 46.13万
• 依托单位: WRIGHT STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-15 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8913112
• 关键词: Alcohol or Other Drugs use; Area; Attitude; Behavior; Buprenorphine; Cannabis; Characteristics; Chemicals; Collaborations; Computer software; Computers; Data; Data Analyses; Designer Drugs; Development; Dimensions; Drug Formulations; Drug abuse; Drug usage; Drug user; Elements; Engineering; Epidemiologic Monitoring; Epidemiologic Studies; Goals; Grant; Health; Health Knowledge, Attitudes, Practice; Image; Imagery; Individual; Interdisciplinary Study; Internet; Intervention; K2/Spice; Knowledge; Laws; Legal; Link; Machine Learning; Maps; Monitor; National Institute of Drug Abuse; Natural Language Processing; Ohio; Online Systems; Pharmaceutical Preparations; Policies; Process; Public Health; Published Comment; Qualitative Methods; Research; Research Infrastructure; Research Personnel; Scientist; Seizures; Social Network; Source; Statistical Methods; Substance abuse problem; Surveillance Methods; Techniques; Time; Toxicology; United States; United States National Institutes of Health; Universities; addiction; computer based Semantic Analysis; computer science; design; empowered; experience; improved; information processing; innovation; insight; marijuana legalization; marijuana use; meetings; mental state; multidisciplinary; regional difference; response; social; substance abuse epidemiology; substance abuser; success; synthetic cannabinoid; tool; trend

DESCRIPTION (provided by applicant): Cannabis remains one of the most commonly used psychoactive substances in the U.S., and current changes in legalization policy indicate broadening acceptability. At the same time, substance abusers have sought similar, or more enhanced highs, through use of synthetic cannabinoids, new designer drugs with constantly changing chemical formulations that have been linked to adverse health effects and present significant challenges to public health. Submitted in response to NIDA RFA-CA-14-008 (Research Area 1), this multi-PI study builds on multidisciplinary collaboration between the researchers in the Center for Interventions, Treatment, and Addictions Research, and the Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University to develop an innovative software platform, eDrugTrends, that will facilitate analysis of trends in knowledge, attitudes, and behaviors related to the use of cannabis and synthetic cannabinoids as discussed on Web forums and Twitter. To date, no one has developed a computer platform capable of collecting and semi-automatically analyzing data from these two complementary social media sources. We will build on the existing infrastructure developed by our interdisciplinary research team: Twitris, a robust and highly scalable platform designed to analyze Twitter data, and PREDOSE, a platform developed for our collaborative NIH grant (R21 DA030571) to analyze Web forum data on illegal buprenorphine use. Key elements of Twitris and PREDOSE will be adapted and enhanced using Semantic Web, Natural Language Processing, and Machine Learning techniques to advance the analysis of social media data for drug abuse research and is thus maximally responsive to the RFA. The Specific Aims are to: 1) Develop a comprehensive software platform, eDrugTrends, for semi-automated processing and visualization of thematic, sentiment, spatio-temporal, and social network dimensions of social media data (Twitter and Web forums) on cannabis and synthetic cannabinoid use. 2) Deploy eDrugTrends to: a) Identify and compare trends in knowledge, attitudes, and behaviors related to cannabis and synthetic cannabinoid use across U.S. regions with different cannabis legalization policies using Twitter and Web forum data. b) Analyze social network characteristics and identify key influencers (opinions leaders) in cannabis and synthetic cannabinoid-related discussions on Twitter. The development of eDrugTrends will advance the field's technological and methodological capabilities, and our deployment of the platform will inform the field on new trends regarding the use of cannabis, synthetic cannabinoids and other drugs. eDrugTrends will have high public health impact by providing a tool that can be used to inform more timely interventions and policy responses to changes in cannabis and synthetic cannabinoid use and associated harms.

描述（由申请人提供）：大麻仍然是美国最常用的精神活性物质之一，当前的合法化政策变化表明可接受性扩大。同时，通过使用合成大麻素，具有不断变化的化学配方的新设计师药物，滥用药物与不良健康效果有关，并提出了对公共卫生的重大挑战，因此寻求类似或更高的高点。这项多PI的研究是为了响应NIDA RFA-CA-14-008（研究区域1），以多学科，治疗和成瘾研究中心的研究人员之间的多学科合作为基础如Web论坛和Twitter上所讨论的，大麻和合成大麻素的使用。迄今为止，没有人开发了能够收集和半自动分析这两个互补社交媒体来源的数据的计算机平台。我们将建立在我们的跨学科研究团队开发的现有基础架构的基础上：Twitris是一个旨在分析Twitter数据的强大而高度可扩展的平台，Predose是为我们的协作NIH赠款（R21 DA030571）开发的平台，用于分析非法buprenorphine使用的网络论坛数据。 Twitris和Predose的关键要素将通过语义网，自然语言处理和机器学习技术进行调整和增强，以推动对药物滥用研究的社交媒体数据分析，因此对RFA有最大的响应。具体目的是：1）开发一个全面的软件平台，Edrugtrends，用于对社交媒体数据（Twitter和Web论坛）的主题，情感，时空，时空以及社交网络维度的半自动化处理和可视化大麻和综合大麻素的使用。 2）将Edrugtrends部署到：a）识别和比较与大麻和合成大麻素有关的知识，态度和行为的趋势，并使用Twitter和Web论坛数据具有不同的大麻合法化政策。 b）分析社交网络特征并确定大麻和合成大麻素相关讨论的关键影响者（意见领袖）。 Edrugtrends的发展将推动该领域的技术和方法论能力，我们的平台部署将为该领域提供有关大麻，合成大麻素和其他药物的新趋势的信息。 Edrugtrends将通过提供一种可以用来为大麻变化和合成大麻素的变化和相关危害的工具提供更大的公共卫生影响。