Social Media Posts for Drug Term Discovery via Word Embeddings

A research paper from the University of Maryland, College Park proposes a method for improving keyword filters in social media drug research. The work compares synonym discovery for marijuana and opioid terms on Twitter versus topic-filtered Reddit. The method identified slang terms not yet listed by the U.S. Drug Enforcement Agency (DEA).

Use Cases

• Improving keyword filter lists for social media data collection based on the described synonym discovery method.
• Comparing drug-related discourse across different social media platforms based on the Twitter versus Reddit analysis.
• Identifying emerging drug slang terms faster than traditional lexicon updates based on the DEA list comparison.

Strengths

• Methodology validated by identifying terms that later appeared on the official U.S. DEA drug slang list.
• Compares data collection efficacy across two major social media platforms, Twitter and Reddit.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Maryland, College Park

Collection Method

Research involving social media data collection and analysis using word embeddings for synonym discovery.