Literature DB >> 32288896

Keynote Speaker II: Biomedical Engineering Research in the Social Network Analysis Era: Stance Classification for Analysis of Hoax Medical News in Social Media.

Mauridhi Hery Purnomo1, Surya Sumpeno1, Esther Irawati Setiawan1,2, Diana Purwitasari1,3.   

Abstract

Biomedical engineering research trend can be healthcare models with unobtrusive smart systems for monitoring vital signs and physical activity. Detecting infant facial cry because of inability to communicate pain, recognizing facial emotion to understand dysfunction mechanisms through micro expression or transform captured human expression with motion device into three-dimensional objects are some of the applied systems. Nowadays, collaborated with biomedical research, mining and analyzing social network can improve public and private health care sectors as well such as research health news shared on social media about pharmaceutical drugs, pandemics, or viral outbreaks. Due to the vast amount of shared news, there is an urgency to select and filter information to prevent the spread of hoax or fake news. We explored in depth some steps to classify hoaxes written as news articles. This discussion also encourages on how technologies of social network analysis could be used to make new kinds improvement in health care sectors. Then close with a description of limitless future possibilities of biomedical engineering research in social media.
© 2017 Published by Elsevier B.V.

Entities:  

Keywords:  fake news; hoax; sentiment analysis; social network analysis

Year:  2017        PMID: 32288896      PMCID: PMC7128188          DOI: 10.1016/j.procs.2017.10.049

Source DB:  PubMed          Journal:  Procedia Comput Sci


  2 in total

Review 1.  Social media based surveillance systems for healthcare using machine learning: A systematic review.

Authors:  Aakansha Gupta; Rahul Katarya
Journal:  J Biomed Inform       Date:  2020-07-02       Impact factor: 6.317

2.  Improving medical experts' efficiency of misinformation detection: an exploratory study.

Authors:  Aleksandra Nabożny; Bartłomiej Balcerzak; Mikołaj Morzy; Adam Wierzbicki; Pavel Savov; Kamil Warpechowski
Journal:  World Wide Web       Date:  2022-08-12       Impact factor: 3.000

  2 in total

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