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According to NSDUH (National Survey on Drug Use and Health), 20 million Americans consumed drugs in the past few 30 days. Combating illicit drug use is of great interest to public health and law enforcement agencies. Despite of the…

Social and Information Networks · Computer Science 2016-11-28 Yiheng Zhou , Numair Sani , Jiebo Luo

Illicit drug trade via social media sites, especially photo-oriented Instagram, has become a severe problem in recent years. As a result, tracking drug dealing and abuse on Instagram is of interest to law enforcement agencies and public…

Social and Information Networks · Computer Science 2016-05-26 Xitong Yang , Jiebo Luo

In the last decade drug overdose deaths reached staggering proportions in the US. Besides the raw yearly deaths count that is worrisome per se, an alarming picture comes from the steep acceleration of such rate that increased by 21% from…

Computers and Society · Computer Science 2019-04-02 Duilio Balsamo , Paolo Bajardi , André Panisson

Illicit drug trafficking via social media sites such as Instagram has become a severe problem, thus drawing a great deal of attention from law enforcement and public health agencies. How to identify illicit drug dealers from social media…

Machine Learning · Computer Science 2021-08-24 Chuanbo Hu , Minglei Yin , Bin Liu , Xin Li , Yanfang Ye

Illicit online pharmacies allow the purchase of prescription drugs online without a prescription. Such pharmacies leverage social media platforms such as Twit- ter as a promotion and marketing tool with the intent of reaching out to a…

Computers and Society · Computer Science 2017-12-05 Janani Kalyanam , Timothy Mackey

Much recent research aims to identify evidence for Drug-Drug Interactions (DDI) and Adverse Drug reactions (ADR) from the biomedical scientific literature. In addition to this "Bibliome", the universe of social media provides a very…

Social and Information Networks · Computer Science 2016-01-15 Rion Brattig Correia , Lang Li , Luis M. Rocha

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely…

Computation and Language · Computer Science 2024-06-17 Chenghao Yang , Tuhin Chakrabarty , Karli R Hochstatter , Melissa N Slavin , Nabila El-Bassel , Smaranda Muresan

In the light of increasing clues on social media impact on self-harm and suicide risks, there is still no evidence on who are and how factually engaged in suicide-related online behaviors. This study reports new findings of high-performance…

Computers and Society · Computer Science 2024-01-17 Anastasia Peshkovskaya , Yu-Tao Xiang

The media's representation of illicit substance use can lead to harmful stereotypes and stigmatization for individuals struggling with addiction, ultimately influencing public perception, policy, and public health outcomes. To explore how…

Computation and Language · Computer Science 2023-07-06 Layla Bouzoubaa , Ramtin Ehsani , Preetha Chatterjee , Rezvaneh Rezapour

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…

Machine Learning · Computer Science 2023-04-21 Usha Lokala , Orchid Chetia Phukan , Triyasha Ghosh Dastidar , Francois Lamy , Raminta Daniulaityte , Amit Sheth

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…

Artificial Intelligence · Computer Science 2021-03-30 Usha Lokala , Francois Lamy , Triyasha Ghosh Dastidar , Kaushik Roy , Raminta Daniulaityte , Srinivasan Parthasarathy , Amit Sheth

Opaque algorithms disseminate and mediate the content that users consume on online social media platforms. This algorithmic mediation serves users with contents of their liking, on the other hand, it may cause several inadvertent risks to…

Social and Information Networks · Computer Science 2025-01-28 Cai Yang , Sepehr Mousavi , Abhisek Dash , Krishna P. Gummadi , Ingmar Weber

Mining social media messages such as tweets, articles, and Facebook posts for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for…

Computation and Language · Computer Science 2018-08-08 Debanjan Mahata , Jasper Friedrichs , Rajiv Ratn Shah , Jing Jiang

Mining social media messages for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for monitoring drug abuse, adverse reactions of drug…

Computation and Language · Computer Science 2018-05-17 Debanjan Mahata , Jasper Friedrichs , Hitkul , Rajiv Ratn Shah

The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of collected Twitter data, models were developed for classifying…

Social and Information Networks · Computer Science 2020-03-26 Joseph Tassone , Peizhi Yan , Mackenzie Simpson , Chetan Mendhe , Vijay Mago , Salimur Choudhury

Substance use, substance use disorder, and overdoses related to substance use are major public health problems globally and in the United States. A key aspect of addressing these problems from a public health standpoint is improved…

Computation and Language · Computer Science 2023-09-06 Abeed Sarker

To explore social media use in New Zealand, a sample of 1001 adults aged 18 and over were surveyed in November 2021. Participants were asked about the frequency of their use of different social media platforms (text message included). This…

Computers and Society · Computer Science 2023-05-02 Edgar Pacheco

While many people use social network sites to connect with friends and family, some feel that their use is problematic, seriously affecting their sleep, work, or life. Pairing a survey of 20,000 Facebook users measuring perceptions of…

Human-Computer Interaction · Computer Science 2019-05-07 Justin Cheng , Moira Burke , Elena Goetz Davis

In this paper, we demonstrate how the state-of-the-art machine learning and text mining techniques can be used to build effective social media-based substance use detection systems. Since a substance use ground truth is difficult to obtain…

Computation and Language · Computer Science 2017-06-02 Tao Ding , Warren K. Bickel , Shimei Pan

Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment, social media has provided scientists with unprecedented…

Computers and Society · Computer Science 2020-09-17 Rion Brattig Correia , Ian B. Wood , Johan Bollen , Luis M. Rocha
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