Literature DB >> 24637141

Pharmaceutical drugs chatter on Online Social Networks.

Matthew T Wiley1, Canghong Jin2, Vagelis Hristidis3, Kevin M Esterling4.   

Abstract

The ubiquity of Online Social Networks (OSNs) is creating new sources for healthcare information, particularly in the context of pharmaceutical drugs. We aimed to examine the impact of a given OSN's characteristics on the content of pharmaceutical drug discussions from that OSN. We compared the effect of four distinguishing characteristics from ten different OSNs on the content of their pharmaceutical drug discussions: (1) General versus Health OSN; (2) OSN moderation; (3) OSN registration requirements; and (4) OSNs with a question and answer format. The effects of these characteristics were measured both quantitatively and qualitatively. Our results show that an OSN's characteristics indeed affect the content of its discussions. Based on their information needs, healthcare providers may use our findings to pick the right OSNs or to advise patients regarding their needs. Our results may also guide the creation of new and more effective domain-specific health OSNs. Further, future researchers of online healthcare content in OSNs may find our results informative while choosing OSNs as data sources. We reported several findings about the impact of OSN characteristics on the content of pharmaceutical drug discussion, and synthesized these findings into actionable items for both healthcare providers and future researchers of healthcare discussions on OSNs. Future research on the impact of OSN characteristics could include user demographics, quality and safety of information, and efficacy of OSN usage.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Frequent itemsets; Health social media; Pharmaceutical drugs; Sentiment analysis; Social media; Text mining

Mesh:

Substances:

Year:  2014        PMID: 24637141     DOI: 10.1016/j.jbi.2014.03.006

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  8 in total

Review 1.  Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.

Authors:  G Gonzalez-Hernandez; A Sarker; K O'Connor; G Savova
Journal:  Yearb Med Inform       Date:  2017-09-11

2.  FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Authors:  Long-Sheng Chen; Zue-Cheng Lin; Jing-Rong Chang
Journal:  J Med Syst       Date:  2015-09-02       Impact factor: 4.460

3.  Developing a standardized protocol for computational sentiment analysis research using health-related social media data.

Authors:  Lu He; Tingjue Yin; Zhaoxian Hu; Yunan Chen; David A Hanauer; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

4.  Communicative and Discursive Perspectives on the Medication Experience.

Authors:  Lewis H Glinert
Journal:  Pharmacy (Basel)       Date:  2021-02-17

5.  A Study of the Demographics of Web-Based Health-Related Social Media Users.

Authors:  Shouq A Sadah; Moloud Shahbazi; Matthew T Wiley; Vagelis Hristidis
Journal:  J Med Internet Res       Date:  2015-08-06       Impact factor: 5.428

6.  Demographic-Based Content Analysis of Web-Based Health-Related Social Media.

Authors:  Shouq A Sadah; Moloud Shahbazi; Matthew T Wiley; Vagelis Hristidis
Journal:  J Med Internet Res       Date:  2016-06-13       Impact factor: 5.428

7.  Classification of Health-Related Social Media Posts: Evaluation of Post Content-Classifier Models and Analysis of User Demographics.

Authors:  Ryan Rivas; Shouq A Sadah; Yuhang Guo; Vagelis Hristidis
Journal:  JMIR Public Health Surveill       Date:  2020-04-01

Review 8.  Sentiment Analysis in Health and Well-Being: Systematic Review.

Authors:  Anastazia Zunic; Padraig Corcoran; Irena Spasic
Journal:  JMIR Med Inform       Date:  2020-01-28
  8 in total

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