Quality of health-related online search results

2014 ◽  
Vol 57 ◽  
pp. 454-462 ◽  
Author(s):  
Brent Kitchens ◽  
Christopher A. Harle ◽  
Shengli Li
2021 ◽  
pp. 1-10
Author(s):  
Anne K. Braczynski ◽  
Bergita Ganse ◽  
Stephanie Ridwan ◽  
Christian Schlenstedt ◽  
Jörg B. Schulz ◽  
...  

Background: Parkinson’s disease (PD) is the most frequent movement disorder. Patients access YouTube, one of the largest video databases in the World, to retrieve health-related information increasingly often. Objective: We aimed to identify high-quality publishers, so-called “channels” that can be recommended to patients. We hypothesized that the number of views and the number of uploaded videos were indicators for the quality of the information given by a video on PD. Methods: YouTube was searched for 8 combinations of search terms that included “Parkinson” in German. For each term, the first 100 search results were analyzed for source, date of upload, number of views, numbers of likes and dislikes, and comments. The view ratio (views / day) and the likes ratio (likes * 100 / [likes + dislikes]) were determined to calculate the video popularity index (VPI). The global quality score (GQS) and title - content consistency index (TCCI) were assessed in a subset of videos. Results: Of 800 search results, 251 videos met the inclusion criteria. The number of views or the publisher category were not indicative of higher quality video content. The number of videos uploaded by a channel was the best indicator for the quality of video content. Conclusion: The quality of YouTube videos relevant for PD patients is increased in channels with a high number of videos on the topic. We identified three German channels that can be recommended to PD patients who prefer video over written content.


2016 ◽  
Vol 7 (1) ◽  
pp. 16-33 ◽  
Author(s):  
Himani Singal ◽  
Shruti Kohli

Trusting any information on web is psychosomatic and subliminal by nature. The decision is left on the requestor to assess, judge and corroborate the contents contained in the websites before perceiving it. This is of acute concern when websites deal with sensitive issues like health. There is no standard mechanism that embodies or characterizes how to make these ‘trust' decisions. Although all the web users make these decisions on a frequent basis, there is no method to comply with the rationale to take such decisions. This paper is an attempt to provide a solution to the problem of ‘how much the content, typically provided by any health related website should be trusted?' A probing has been done to study the users' behavior on these websites. This cram makes use of real-time analytical data collected from similarweb.com for hundred health related websites to analyze web users' behavior. The goalmouth is to develop a novel technique to re-rank search results using TRUST as a deciding factor so that more trustworthy web links appears higher in the results list. The aim is to determine and discern the users' attitudinal factors that can be captured in practice without user interaction and also capitalize on the quality of the trust estimates.


2006 ◽  
Vol 175 (4S) ◽  
pp. 150-151
Author(s):  
Jeffrey S. Montgomery ◽  
Bishoy A. Gayed ◽  
Brent K. Hollenbeck ◽  
Stephanie Daignault ◽  
Martin G. Sanda ◽  
...  

2004 ◽  
Vol 171 (4S) ◽  
pp. 101-102
Author(s):  
Tracey L. Krupski ◽  
Arlene Fink ◽  
Lorna Kwan ◽  
Sarah Connor ◽  
Sally L. Maliski ◽  
...  

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