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Are Health Videos from Hospitals, Health Organizations, and Active Users Available to Health Consumers? An Analysis of Diabetes Health Video Ranking in YouTube.

Abstract Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information according to their search. But, is the information recovered by those search engines from quality sources? Is the health information uploaded from reliable sources, such as hospitals and health organizations, easily available to patients? The availability of videos is directly related to the ranking position in YouTube search. The higher the ranking of the information is, the more accessible it is. The aim of this study is to analyze the ranking evolution of diabetes health videos on YouTube in order to discover how videos from reliable channels, such as hospitals and health organizations, are evolving in the ranking. The analysis was done by tracking the ranking of 2372 videos on a daily basis during a 30-day period using 20 diabetes-related queries. Our conclusions are that the current YouTube algorithm favors the presence of reliable videos in upper rank positions in diabetes-related searches.
PMID
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Authors

Mayor MeshTerms

Social Media

Video Recording

Keywords
Journal Title computational and mathematical methods in medicine
Publication Year Start




PMID- 28243314
OWN - NLM
STAT- MEDLINE
DA  - 20170228
DCOM- 20170310
LR  - 20170310
IS  - 1748-6718 (Electronic)
IS  - 1748-670X (Linking)
VI  - 2017
DP  - 2017
TI  - Are Health Videos from Hospitals, Health Organizations, and Active Users
      Available to Health Consumers? An Analysis of Diabetes Health Video Ranking in
      YouTube.
PG  - 8194940
LID - 10.1155/2017/8194940 [doi]
AB  - Health consumers are increasingly using the Internet to search for health
      information. The existence of overloaded, inaccurate, obsolete, or simply
      incorrect health information available on the Internet is a serious obstacle for 
      finding relevant and good-quality data that actually helps patients. Search
      engines of multimedia Internet platforms are thought to help users to find
      relevant information according to their search. But, is the information recovered
      by those search engines from quality sources? Is the health information uploaded 
      from reliable sources, such as hospitals and health organizations, easily
      available to patients? The availability of videos is directly related to the
      ranking position in YouTube search. The higher the ranking of the information is,
      the more accessible it is. The aim of this study is to analyze the ranking
      evolution of diabetes health videos on YouTube in order to discover how videos
      from reliable channels, such as hospitals and health organizations, are evolving 
      in the ranking. The analysis was done by tracking the ranking of 2372 videos on a
      daily basis during a 30-day period using 20 diabetes-related queries. Our
      conclusions are that the current YouTube algorithm favors the presence of
      reliable videos in upper rank positions in diabetes-related searches.
FAU - Fernandez-Llatas, Carlos
AU  - Fernandez-Llatas C
AUID- ORCID: 0000-0002-2819-5597
AD  - ITACA, Universitat Politecnica de Valencia, Camino de Vera S/N, 46022 Valencia,
      Spain; Instituto de Investigacion Sanitaria del Hospital Universitario y
      Politecnico La Fe, Bulevar Sur S/N, 46026 Valencia, Spain.
FAU - Traver, Vicente
AU  - Traver V
AUID- ORCID: 0000-0003-1806-8575
AD  - ITACA, Universitat Politecnica de Valencia, Camino de Vera S/N, 46022 Valencia,
      Spain; Instituto de Investigacion Sanitaria del Hospital Universitario y
      Politecnico La Fe, Bulevar Sur S/N, 46026 Valencia, Spain.
FAU - Borras-Morell, Jose-Enrique
AU  - Borras-Morell JE
AD  - Department of Computer Science, UiT The Arctic University of Norway, Tromso,
      Norway.
FAU - Martinez-Millana, Antonio
AU  - Martinez-Millana A
AD  - ITACA, Universitat Politecnica de Valencia, Camino de Vera S/N, 46022 Valencia,
      Spain.
FAU - Karlsen, Randi
AU  - Karlsen R
AD  - Department of Computer Science, UiT The Arctic University of Norway, Tromso,
      Norway.
LA  - eng
PT  - Journal Article
DEP - 20170124
PL  - United States
TA  - Comput Math Methods Med
JT  - Computational and mathematical methods in medicine
JID - 101277751
SB  - IM
MH  - Algorithms
MH  - Diabetes Mellitus/*therapy
MH  - Health Education
MH  - Health Promotion
MH  - Hospitals
MH  - Humans
MH  - Internet
MH  - Multimedia
MH  - Search Engine
MH  - *Social Media
MH  - *Video Recording
PMC - PMC5294358
COI - The authors declare that there is no conflict of interests regarding the
      publication of this paper.
EDAT- 2017/03/01 06:00
MHDA- 2017/03/11 06:00
CRDT- 2017/03/01 06:00
PHST- 2016/09/22 [received]
PHST- 2016/11/22 [accepted]
AID - 10.1155/2017/8194940 [doi]
PST - ppublish
SO  - Comput Math Methods Med. 2017;2017:8194940. doi: 10.1155/2017/8194940. Epub 2017 
      Jan 24.

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