An Innovative Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Project Finalist at HHS Opioid Code-a-Thon

2018 ◽  
Author(s):  
Tim Mackey ◽  
Janani Kalyanam ◽  
Josh Klugman ◽  
Ella Kuzmenko ◽  
Rashmi Gupta
Keyword(s):  
Online Marketing ◽  
Controlled Substances ◽  
Innovative Solution

scholarly journals Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access (Preprint)

2018 ◽  
Author(s):  
Tim Mackey ◽  
Janani Kalyanam ◽  
Josh Klugman ◽  
Ella Kuzmenko ◽  
Rashmi Gupta
Keyword(s):  
Machine Learning ◽  
Illicit Drugs ◽  
Topic Model ◽  
Application Programming Interface ◽  
Online Marketing ◽  
Prescription Opioid ◽  
Law Enforcement Agencies ◽  
Controlled Substances ◽  
The Us ◽  
Social Media Platforms

BACKGROUND On December 6 and 7, 2017, the US Department of Health and Human Services (HHS) hosted its first Code-a-Thon event aimed at leveraging technology and data-driven solutions to help combat the opioid epidemic. The authors—an interdisciplinary team from academia, the private sector, and the US Centers for Disease Control and Prevention—participated in the Code-a-Thon as part of the prevention track. OBJECTIVE The aim of this study was to develop and deploy a methodology using machine learning to accurately detect the marketing and sale of opioids by illicit online sellers via Twitter as part of participation at the HHS Opioid Code-a-Thon event. METHODS Tweets were collected from the Twitter public application programming interface stream filtered for common prescription opioid keywords in conjunction with participation in the Code-a-Thon from November 15, 2017 to December 5, 2017. An unsupervised machine learning–based approach was developed and used during the Code-a-Thon competition (24 hours) to obtain a summary of the content of the tweets to isolate those clusters associated with illegal online marketing and sale using a biterm topic model (BTM). After isolating relevant tweets, hyperlinks associated with these tweets were reviewed to assess the characteristics of illegal online sellers. RESULTS We collected and analyzed 213,041 tweets over the course of the Code-a-Thon containing keywords codeine, percocet, vicodin, oxycontin, oxycodone, fentanyl, and hydrocodone. Using BTM, 0.32% (692/213,041) tweets were identified as being associated with illegal online marketing and sale of prescription opioids. After removing duplicates and dead links, we identified 34 unique “live” tweets, with 44% (15/34) directing consumers to illicit online pharmacies, 32% (11/34) linked to individual drug sellers, and 21% (7/34) used by marketing affiliates. In addition to offering the “no prescription” sale of opioids, many of these vendors also sold other controlled substances and illicit drugs. CONCLUSIONS The results of this study are in line with prior studies that have identified social media platforms, including Twitter, as a potential conduit for supply and sale of illicit opioids. To translate these results into action, authors also developed a prototype wireframe for the purposes of detecting, classifying, and reporting illicit online pharmacy tweets selling controlled substances illegally to the US Food and Drug Administration and the US Drug Enforcement Agency. Further development of solutions based on these methods has the potential to proactively alert regulators and law enforcement agencies of illegal opioid sales, while also making the online environment safer for the public.

Erfolgsfaktoren für den Einsatz von Programmatic Creation

2018 ◽  
Vol 15 (1) ◽  
pp. 20-27
Author(s):  
Roland Frank ◽  
Karin Schmid
Keyword(s):  
Online Marketing

Die Kombination von online generierten Kundendaten mit smarten Algorithmen hat in den vergangenen Jahren die Geschäftsmodelle im Online-Marketing rasant verändert. Kunden können heute anhand ihrer Konsumgewohnheiten zielgenau angesprochen werden. Gleichzeitig steigt die Gefahr, dass eine solche Werbung als aggressiv wahrgenommen wird. Daher ist es die Aufgabe der Werbeindustrie, in der Zukunft die Relevanz von Online-Werbung zu steigern. Programmatic Creation bildet als Schnittstelle zwischen den technischen Einsatzmöglichkeiten und der kreativen Ausgestaltung den Schlüssel zur Steigerung der Akzeptanz von programmatisch ausgespielten Werbekampagnen.

Precast Framing System Provides Innovative Solution to Modernization of Shipbuilding Facility

PCI Journal ◽  
2003 ◽  
Vol 48 (3) ◽  
pp. 20-31
Author(s):  
V. K. Kumar ◽  
John C. Bardi ◽  
William J. Bohien ◽  
George Y. Sheng
Keyword(s):  
Innovative Solution

E-Insurance :A Platform For Insurance Penetration In India

2019 ◽  
Vol 118 (6) ◽  
pp. 90-93
Author(s):  
L. Terina Grazy ◽  
Dr.G. Parimalarani
Keyword(s):  
Insurance Industry ◽  
Cost Effective ◽  
Online Marketing ◽  
Insurance Companies ◽  
The Internet ◽  
Insurance Sector ◽  
The People ◽  
Cost Effective Approach ◽  
Time And Energy ◽  
Work Done

E-commerce is a part of Internet Marketing. The arrival of Internet made the world very simple and dynamic in all the areas. Internet is the growing business as a result most of the people are using it in their day to day life. E-commerce is attractive and efficient way for both buyers and sellesr as it reduce cost, time and energy for the buyer. No surprise the insurance sector has become quite active within the internet sphere. Most insurance companies are offering policies to be brought online and also the portals for paying premiums. It actually saves from hassles involved in going to an insurance office and spend hours to get the insurance work done. Insurance has become an important and crucial aspect of life. Online insurance is the best and most cost effective approach of taking the insurance deal. This paper focused on influence of online marketing on the insurance industry in India, usage of internet in India , the internet penetration in India and the online sale of insurance product by the insurance sector.

Sign in / Sign up

Export Citation Format

Share Document