Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: The growing availability of big data spontaneously generated by social media platforms allows us to leverage natural language processing (NLP) methods as valuable tools to understand the opioid crisis.

Objective: We aimed to understand how NLP has been applied to Reddit (Reddit Inc) data to study opioid use.

Methods: We systematically searched for peer-reviewed studies and conference abstracts in PubMed, Scopus, PsycINFO, ACL Anthology, IEEE Xplore, and Association for Computing Machinery data repositories up to July 19, 2022. Inclusion criteria were studies investigating opioid use, using NLP techniques to analyze the textual corpora, and using Reddit as the social media data source. We were specifically interested in mapping studies' overarching goals and findings, methodologies and software used, and main limitations.

Results: In total, 30 studies were included, which were classified into 4 nonmutually exclusive overarching goal categories: methodological (n=6, 20% studies), infodemiology (n=22, 73% studies), infoveillance (n=7, 23% studies), and pharmacovigilance (n=3, 10% studies). NLP methods were used to identify content relevant to opioid use among vast quantities of textual data, to establish potential relationships between opioid use patterns or profiles and contextual factors or comorbidities, and to anticipate individuals' transitions between different opioid-related subreddits, likely revealing progression through opioid use stages. Most studies used an embedding technique (12/30, 40%), prediction or classification approach (12/30, 40%), topic modeling (9/30, 30%), and sentiment analysis (6/30, 20%). The most frequently used programming languages were Python (20/30, 67%) and R (2/30, 7%). Among the studies that reported limitations (20/30, 67%), the most cited was the uncertainty regarding whether redditors participating in these forums were representative of people who use opioids (8/20, 40%). The papers were very recent (28/30, 93%), from 2019 to 2022, with authors from a range of disciplines.

Conclusions: This scoping review identified a wide variety of NLP techniques and applications used to support surveillance and social media interventions addressing the opioid crisis. Despite the clear potential of these methods to enable the identification of opioid-relevant content in Reddit and its analysis, there are limits to the degree of interpretive meaning that they can provide. Moreover, we identified the need for standardized ethical guidelines to govern the use of Reddit data to safeguard the anonymity and privacy of people using these forums.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11437337PMC
http://dx.doi.org/10.2196/51156DOI Listing

Publication Analysis

Top Keywords

social media
12
studies
9
natural language
8
language processing
8
opioid
8
scoping review
8
nlp methods
8
reddit data
8
nlp techniques
8
12/30 40%
8

Similar Publications

Eating disorders are primarily associated with women and an obsession with thinness. Recent research and social media content show that men are also concerned about their body image, striving for a muscular and athletic physique. To investigate eating disorder tendencies among male content creators with a mesomorphic body type (N = 26), a social media analysis was conducted on Instagram and TikTok over four weeks.

View Article and Find Full Text PDF

In recent years, social media (SoMe) has revolutionized medical education within the field of pathology; however, its performance in cytopathology has not been explored in detail. This systematic review aims to analyze SoMe trends, hashtag metrics, and online resources within cytopathology over the period of 7 years. A systematic review of 4 databases (PubMed, Medline, Embase, and Scopus) was conducted between January 1st, 2017, and December 22nd, 2022, in order to identify relevant English-language articles about SoMe and cytopathology.

View Article and Find Full Text PDF

This article offers an anocritical reading of Girls5eva, a sitcom about a 1990s one-hit girl group trying to make a comeback. Building on scholarship into the representation of aging women in popular media and the music industry, our reading first addresses fuzzy boundaries between life stages and transgressions of the normalized life course. Second, we examine the discourse of girl power and its relationship to midlife transformation.

View Article and Find Full Text PDF

Analyzing Reddit Social Media Content in the United States Related to H5N1: Sentiment and Topic Modeling Study.

J Med Internet Res

September 2025

Artificial Intelligence and Mathematical Modeling Lab, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Background: The H5N1 avian influenza A virus represents a serious threat to both animal and human health, with the potential to escalate into a global pandemic. Effective monitoring of social media during H5N1 avian influenza outbreaks could potentially offer critical insights to guide public health strategies. Social media platforms like Reddit, with their diverse and region-specific communities, provide a rich source of data that can reveal collective attitudes, concerns, and behavioral trends in real time.

View Article and Find Full Text PDF

Background: The ability to access and evaluate online health information is essential for young adults to manage their physical and mental well-being. With the growing integration of the internet, mobile technology, and social media, young adults (aged 18-30 years) are increasingly turning to digital platforms for health-related content. Despite this trend, there remains a lack of systematic insights into their specific behaviors, preferences, and needs when seeking health information online.

View Article and Find Full Text PDF