Literature DB >> 23453635

The presentation of seizures and epilepsy in YouTube videos.

Victoria S S Wong1, Matthew Stevenson, Linda Selwa.   

Abstract

We evaluated videos on the social media website, YouTube, containing references to seizures and epilepsy. Of 100 videos, 28% contained an ictal event, and 25% featured a person with epilepsy recounting his or her personal experience. Videos most commonly fell into categories of Personal Experience/Anecdotal (44%) and Informative/Educational (38%). Fifty-one percent of videos were judged as accurate, and 9% were inaccurate; accuracy was not an applicable attribute in the remainder of the videos. Eighty-five percent of videos were sympathetic towards those with seizures or epilepsy, 9% were neutral, and only 6% were derogatory. Ninety-eight percent of videos were thought to be easily understood by a layperson. The user-generated content on YouTube appears to be more sympathetic and accurate compared to other forms of mass media. We are optimistic that with a shifting ratio towards sympathetic content about epilepsy, the amount of stigma towards epilepsy and seizures will continue to lessen.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23453635     DOI: 10.1016/j.yebeh.2013.01.017

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  6 in total

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Authors:  Marcello Moccia; Francesco Brigo; Gioacchino Tedeschi; Simona Bonavita; Luigi Lavorgna
Journal:  Neurol Sci       Date:  2018-03-28       Impact factor: 3.307

2.  Understanding the Role of Stigma and Misconceptions in the Experience of Epilepsy in India: Findings From a Mixed-Methods Study.

Authors:  Kritika Gosain; Tannistha Samanta
Journal:  Front Sociol       Date:  2022-05-13

Review 3.  Stigma in epilepsy.

Authors:  Kirsten M Fiest; Gretchen L Birbeck; Ann Jacoby; Nathalie Jette
Journal:  Curr Neurol Neurosci Rep       Date:  2014-05       Impact factor: 5.081

Review 4.  Epilepsy misconceptions and stigma reduction: Current status in Western countries.

Authors:  Lynn K Herrmann; Elisabeth Welter; Anne T Berg; Adam T Perzynski; Jamie R Van Doren; Martha Sajatovic
Journal:  Epilepsy Behav       Date:  2016-05-18       Impact factor: 2.937

5.  Assessment of YouTube videos as a source of information on medication use in pregnancy.

Authors:  Craig Hansen; Julia D Interrante; Elizabeth C Ailes; Meghan T Frey; Cheryl S Broussard; Valerie J Godoshian; Courtney Lewis; Kara N D Polen; Amanda P Garcia; Suzanne M Gilboa
Journal:  Pharmacoepidemiol Drug Saf       Date:  2015-11-05       Impact factor: 2.890

6.  Identifying tweets of personal health experience through word embedding and LSTM neural network.

Authors:  Keyuan Jiang; Shichao Feng; Qunhao Song; Ricardo A Calix; Matrika Gupta; Gordon R Bernard
Journal:  BMC Bioinformatics       Date:  2018-06-13       Impact factor: 3.169

  6 in total

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