[HTML][HTML] Risks and opportunities to ensure equity in the application of big data research in public health

P Wesson, Y Hswen, G Valdes… - Annual review of …, 2022 - annualreviews.org
The big data revolution presents an exciting frontier to expand public health research,
broadening the scope of research and increasing the precision of answers. Despite these …

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework

A Sarker, A DeRoos, J Perrone - Journal of the American …, 2020 - academic.oup.com
Objective Prescription medication (PM) misuse and abuse is a major health problem
globally, and a number of recent studies have focused on exploring social media as a …

Characterizing diabetes, diet, exercise, and obesity comments on Twitter

A Karami, AA Dahl, G Turner-McGrievy… - International Journal of …, 2018 - Elsevier
Social media provide a platform for users to express their opinions and share information.
Understanding public health opinions on social media, such as Twitter, offers a unique …

Machine learning and natural language processing for geolocation-centric monitoring and characterization of opioid-related social media chatter

A Sarker, G Gonzalez-Hernandez, Y Ruan… - JAMA network …, 2019 - jamanetwork.com
Importance Automatic curation of consumer-generated, opioid-related social media big data
may enable real-time monitoring of the opioid epidemic in the United States. Objective To …

[图书][B] Social monitoring for public health

MJ Paul, M Dredze - 2017 - books.google.com
Public health thrives on high-quality evidence, yet acquiring meaningful data on a
population remains a central challenge of public health research and practice. Social …

Fine-grained classification of drug trafficking based on Instagram hashtags

C Hu, B Liu, Y Ye, X Li - Decision Support Systems, 2023 - Elsevier
Social networks have become important platforms for the marketing and sale of illicit drugs.
Hashtags make it easier for users to engage in drug trafficking, further increasing the risk of …

Tracking illicit drug dealing and abuse on Instagram using multimodal analysis

X Yang, J Luo - ACM Transactions on Intelligent Systems and …, 2017 - dl.acm.org
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 …

[PDF][PDF] A total error framework for digital traces of humans

I Sen, F Floeck, K Weller, B Weiss… - arXiv preprint arXiv …, 2019 - researchgate.net
The interactions and activities of hundreds of millions of people worldwide are recorded as
digital traces every single day. When pulled together, these data offer increasingly …

Identifying illicit drug dealers on instagram with large-scale multimodal data fusion

C Hu, M Yin, B Liu, X Li, Y Ye - ACM Transactions on Intelligent Systems …, 2021 - dl.acm.org
Illicit drug trafficking via social media sites such as Instagram have become a severe
problem, thus drawing a great deal of attention from law enforcement and public health …

Detection of illicit drug trafficking events on instagram: A deep multimodal multilabel learning approach

C Hu, M Yin, B Liu, X Li, Y Ye - … of the 30th ACM international conference …, 2021 - dl.acm.org
Social media such as Instagram and Twitter have become important platforms for marketing
and selling illicit drugs. Detection of online illicit drug trafficking has become critical to …