ArticlePharmacology research & perspectives2020
Sentiment analysis of social media posts on pharmacotherapy: A scoping review.
Article in Pharmacology research & perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling.Health care management science · 2026Article
- Analysing lithium, quetiapine and valproic acid on social media: an infodemiology study.International journal of bipolar disorders · 2025Article
- Pharmacovigilance in the digital age: gaining insight from social media data.Experimental biology and medicine (Maywood, N.J.) · 2025Review
- Peer Support for Chronic Pain in Online Health Communities: Quantitative Study on the Dynamics of Social Interactions in a Chronic Pain Forum.Journal of medical Internet research · 2024Article
- Toxic Relationships Described by People With Breast Cancer on Reddit: Topic Modeling Study.JMIR cancer · 2024Article
- Sentiment analysis of subcutaneous and intravenous immunoglobulin therapy: public healthcare perception through social media discourse.Frontiers in immunology · 2024Article
- Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study.Journal of medical Internet research · 2022Article
- Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review.BMC medical research methodology · 2022Article
- Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.Journal of personalized medicine · 2022Article
- Tracking the COVID-19 outbreak in India through Twitter: Opportunities for social media based global pandemic surveillance.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2022Article
- Sentiment analysis of social media posts on pharmacotherapy: A scoping review.Pharmacology research & perspectives · 2020Article
- Sentiment analysis of social media responses to the approval of lecanemab for the treatment of Alzheimer's disease in Japan.Journal of Alzheimer's disease reportsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social media is playing an increasingly central role in patient's decision-making process. Advances in technology have enabled meaningful interpretation of discussions on social media. We conducted a scoping review to assess whether Sentiment Analysis (SA), a big data analytic tool, could be used to extract meaningful themes from social media discussions on pharmacotherapy. A keyword search strategy was used on the following databases: OneSearch, PubMed, Medline, EMBASE, and Cochrane. One hundred and ninety-four titles were identified of which 10 studies were included. We extracted themes about uses and implications of SA of social media discussions on pharmacotherapy. Twitter was the most frequently analyzed platform. Assessment of public sentiment about a particular medication was the most common use of SA followed by detection of adverse drug reactions. Studies also revealed a significant impact of news media on public sentiment. Implications for real world practice include identifying reasons for a negative sentiment, detecting adverse drug reactions and using the impact of news media on social media sentiment to drive public health initiatives. The lack of a consistent approach to SA between the studies reflects the lack of a gold standard for the technology and consequently the need for future research. Sentiment Analysis is a promising technology that can allow us to better understand patient opinion regarding pharmacotherapy. This knowledge can be used to improve patient safety, patient- physician interaction, and also enhance the delivery of public health measures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.