Literature DB >> 26258077

YouTube as a Source of Information on Ebola Virus Disease.

Ranjan Pathak1, Dilli Ram Poudel1, Paras Karmacharya1, Amrit Pathak2, Madan Raj Aryal1, Maryam Mahmood1, Anthony A Donato1.   

Abstract

BACKGROUND: The current West Africa epidemic of Ebola virus disease (EVD), which began from Guinea in December 2013, has been the longest and deadliest Ebola outbreak to date. With the propagation of the internet, public health officials must now compete with other official and unofficial sources of information to get their message out. AIMS: This study aimed at critically appraising videos available on one popular internet video site (YouTube) as a source of information for Ebola virus disease (EVD).
MATERIALS AND METHODS: Videos were searched in YouTube (http://www.youtube.com) using the keyword "Ebola outbreak" from inception to November 1, 2014 with the default "relevance" filter. Only videos in English language under 10 min duration within first 10 pages of search were included. Duplicates were removed and the rest were classified as useful or misleading by two independent reviewers. Video sources were categorized by source. Inter-observer agreement was evaluated with kappa coefficient. Continuous and categorical variables were analyzed using the Student t-test and Chi-squared test, respectively.
RESULTS: One hundred and eighteen out of 198 videos were evaluated. Thirty-one (26.27%) videos were classified as misleading and 87 (73.73%) videos were classified as useful. The kappa coefficient of agreement regarding the usefulness of the videos was 0.68 (P < 0.001). Independent users were more likely to post misleading videos (93.55% vs 29.89%, OR = 34.02, 95% CI = 7.55-153.12, P < 0.001) whereas news agencies were most likely to post useful videos (65.52% vs 3.23%, OR = 57.00, 95% CI = 7.40-438.74, P < 0.001).
CONCLUSIONS: This study demonstrates that majority of the internet videos about Ebola on YouTube were characterized as useful. Although YouTube seems to generally be a useful source of information on the current outbreak, increased efforts to disseminate scientifically correct information is desired to prevent unnecessary panic among the among the general population.

Entities:  

Keywords:  Ebola; YouTube; information; videos

Year:  2015        PMID: 26258077      PMCID: PMC4525388          DOI: 10.4103/1947-2714.161244

Source DB:  PubMed          Journal:  N Am J Med Sci        ISSN: 1947-2714


Introduction

The current West Africa epidemic of Ebola virus disease (EVD), which began from Guinea in December 2013, has been the longest and deadliest Ebola outbreak to date.[1] Ebola's method of transmission makes it amenable to containment by coordinated efforts from the public health community worldwide.[2] Those efforts include measures to keep citizens informed to prevent further spread and undue panic.[3] However, with the propagation of the internet, public health officials must now compete with other official and unofficial sources of information to get their message out. In view of these concerns, we attempted to critically appraise videos available on one popular internet video site (YouTube) as a source of information for EVD.

Materials and Methods

We searched YouTube (http://www.youtube.com) for videos using the keyword “Ebola outbreak” from inception to November 1, 2014 using the default “relevance” filter. The term “Ebola outbreak” was selected as the search term after sampling around 50 YouTube videos related to the Ebola outbreak. We included English language videos with primary content related to EVD with ≤10 min duration and restricted the search results to the first 10 pages [Figure 1]. Duplicate videos, videos without accompanying audio or >10 min duration were excluded. Two independent reviewers classified videos as useful (containing scientifically correct information about any aspect of the disease: epidemiology, symptoms, treatment, prevention) or misleading (containing at least one scientifically unproven information, e. g., EVD as man-made conspiracy or depopulation strategy) using a previously validated method.[4] We extracted the title, length, number of views, number of likes/dislikes, author and date uploaded for the videos. Video sources were also categorized into seven groups (viz. CDC, WHO, Red Cross, NGO/INGOs, academic health institutions/hospitals, news agencies and independent users). Inter-observer agreement was evaluated with kappa coefficient. Continuous and categorical variables were analyzed using the Student t-test and Chi-squared test, respectively. A two tailed P - value of <0.05 was considered signifýcant. IBM SPSS Statistics for Windows, Version 21.0 (Armonk, NY: IBM Corp) was used for the data analyses.
Figure 1

Flow chart showing systematic video search and selection process

Flow chart showing systematic video search and selection process

Results

Of the 198 videos screened, 118 videos met the inclusion criteria. 31 (26.27%) videos were classified as misleading and 87 (73.73%) videos were classified as useful. The kappa coefficient of agreement regarding the usefulness of the videos was 0.68 (P < 0.001). There were no statistically significant differences in the mean number of views, mean number of likes, mean number of days on YouTube between the two groups [Table 1]. The mean length of videos classified as misleading was longer than those classified as useful (6.44 vs 4.11 minutes, P < 0.001). Independent users were more likely to post misleading videos (93.55% vs 29.89%, OR = 34.02, 95% CI = 7.55-153.12, P < 0.001) whereas news agencies were most likely to post useful videos (65.52% vs 3.23%, OR = 57.00, 95% CI = 7.40-438.74, P < 0.001) [Table 1]. Examples of fallacious statements recorded from the misleading videos are given in Supplementary Table 1.
Table 1

Detailed characteristics of the misleading and useful youtube videos analyzed

Detailed characteristics of the misleading and useful youtube videos analyzed Statements recorded from the YouTube videos classified as misleading Click here for additional data file.

Discussion

Our study shows that majority of the internet videos about Ebola on YouTube were characterized as useful. The popularity of the videos (as measured by number of views and likes/day) between misleading and useful videos was similar. Studies in the past on the role of YouTube as a source of information for H1N1 influenza[4] and immunization[5] have found similar results. Most videos uploaded from news agencies contained correct scientific information. The WHO and CDC were under-represented in the identified video collection (although often quoted in news agency videos) suggesting that those groups do not have immediate primary access to a majority of internet users who use YouTube as a source of information.

Conclusion

Although YouTube seems to generally be a useful source of information on the current outbreak, official health agencies should redouble their efforts to disseminate scientifically correct information on Ebola on sites such as YouTube and prevent unnecessary panic among the general population.
  5 in total

1.  YouTube as a source of information on immunization: a content analysis.

Authors:  Jennifer Keelan; Vera Pavri-Garcia; George Tomlinson; Kumanan Wilson
Journal:  JAMA       Date:  2007-12-05       Impact factor: 56.272

2.  YouTube as a source of information on the H1N1 influenza pandemic.

Authors:  Ambarish Pandey; Nivedita Patni; Mansher Singh; Akshay Sood; Gayatri Singh
Journal:  Am J Prev Med       Date:  2010-03       Impact factor: 5.043

3.  Panic, paranoia, and public health--the AIDS epidemic's lessons for Ebola.

Authors:  Gregg Gonsalves; Peter Staley
Journal:  N Engl J Med       Date:  2014-11-05       Impact factor: 91.245

4.  The Ebola epidemic: a global health emergency.

Authors:  Lawrence O Gostin; Daniel Lucey; Alexandra Phelan
Journal:  JAMA       Date:  2014-09-17       Impact factor: 56.272

5.  The international Ebola emergency.

Authors:  Sylvie Briand; Eric Bertherat; Paul Cox; Pierre Formenty; Marie-Paule Kieny; Joel K Myhre; Cathy Roth; Nahoko Shindo; Christopher Dye
Journal:  N Engl J Med       Date:  2014-08-20       Impact factor: 91.245

  5 in total
  23 in total

1.  Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors.

Authors:  Isaac Chun-Hai Fung; King-Wa Fu; Chung-Hong Chan; Benedict Shing Bun Chan; Chi-Ngai Cheung; Thomas Abraham; Zion Tsz Ho Tse
Journal:  Public Health Rep       Date:  2016 May-Jun       Impact factor: 2.792

2.  YouTube videos as health decision aids for the public: An integrative review.

Authors:  Kimberly Haslam; Heather Doucette; Shauna Hachey; Teanne MacCallum; Denise Zwicker; Martha Smith-Brilliant; Robert Gilbert
Journal:  Can J Dent Hyg       Date:  2019-02-01

3.  Evaluation of the Reliability, Utility, and Quality of the Information in Sleeve Gastrectomy Videos Shared on Open Access Video Sharing Platform YouTube.

Authors:  Murat Ferhat Ferhatoglu; Abdulcabbar Kartal; Ugur Ekici; Alp Gurkan
Journal:  Obes Surg       Date:  2019-05       Impact factor: 4.129

4.  Qualitative analysis of Parkinson's disease information on social media: the case of YouTube™.

Authors:  Ibrahim Saleh Al-Busaidi; Tim J Anderson; Yassar Alamri
Journal:  EPMA J       Date:  2017-08-23       Impact factor: 6.543

5.  [Infodemic: fake news and COVID-19 mortality trends in six Latin American countriesInfodemia: notícias falsas e tendências na mortalidade por COVID-19 em seis países da América Latina].

Authors:  Giselly Mayerly Nieves-Cuervo; Edgar F Manrique-Hernández; Angelo Fernando Robledo-Colonia; Ardila Elvia Karina Grillo
Journal:  Rev Panam Salud Publica       Date:  2021-05-13

6.  Assessment of the Quality and Reliability of Intragastric Balloon Videos on YouTube.

Authors:  Akin Calisir; Ilhan Ece
Journal:  Obes Surg       Date:  2022-01-19       Impact factor: 4.129

7.  Zika Virus on YouTube: An Analysis of English-language Video Content by Source.

Authors:  Corey H Basch; Isaac Chun-Hai Fung; Rodney N Hammond; Elizabeth B Blankenship; Zion Tsz Ho Tse; King-Wa Fu; Patrick Ip; Charles E Basch
Journal:  J Prev Med Public Health       Date:  2017-01-26

8.  Alzheimer's Disease in Social Media: Content Analysis of YouTube Videos.

Authors:  Weizhou Tang; Kate Olscamp; Seul Ki Choi; Daniela B Friedman
Journal:  Interact J Med Res       Date:  2017-10-19

9.  YouTube as a Source of Information on Cervical Cancer.

Authors:  Janak Adhikari; Priyadarshani Sharma; Lubina Arjyal; Dipesh Uprety
Journal:  N Am J Med Sci       Date:  2016-04

10.  Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature.

Authors:  Vincenza Gianfredi; Nicola Luigi Bragazzi; Daniele Nucci; Mariano Martini; Roberto Rosselli; Liliana Minelli; Massimo Moretti
Journal:  Front Public Health       Date:  2018-03-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.