Where are the ‘key’ words? Optimizing multimedia textual attributes to improve viewership

First Monday ◽  
2015 ◽  
Author(s):  
Tatiana Pontes ◽  
Elizeu Santos-Neto ◽  
Jussara Almeida ◽  
Matei Ripeanu
Keyword(s):  
Hybrid Approach ◽  
Online Video ◽  
Video Content ◽  
Tag Recommendation ◽  
Operational Costs ◽  
Youtube Videos ◽  
Textual Features ◽  
Selection For ◽  
The Impact

Multimedia content is central to our experience on the Web. Specifically, users frequently search and watch videos online. The textual features that accompany such content (e.g., title, description, and tags) can generally be optimized to attract more search traffic and ultimately to increase the advertisement-generated revenue.This study investigates whether automating tag selection for online video content with the goal of increasing viewership is feasible. In summary, it shows that content producers can lower their operational costs for tag selection using a hybrid approach that combines dedicated personnel (often known as ‘channel managers’), crowdsourcing, and automatic tag suggestions. More concretely, this work provides the following insights: first, it offers evidence that existing tags for a sample of YouTube videos can be improved; second, this study shows that an automated tag recommendation process can be efficient in practice; and, finally it explores the impact of using information mined from various data sources associated with content items on the quality of the resulting tags.

scholarly journals A quality analysis of the YouTube video content on meniscus repair surgery

2021 ◽  
Vol 9 (2_suppl) ◽  
pp. 2325967121S0001
Author(s):  
François Sigonney ◽  
Camille Steltzlen ◽  
Pierre Alban Bouché ◽  
Nicolas Pujol
Keyword(s):  
Medical Information ◽  
Cruciate Ligament ◽  
Meniscus Repair ◽  
Quality Analysis ◽  
Video Content ◽  
Source Type ◽  
Keywords Meniscus ◽  
Youtube Videos ◽  
Anterior Cruciate

Objectives: The Internet, especially YouTube, is an important and growing source of medical information. The content of this information is poorly evaluated. The objective of this study was to analyze the quality of YouTube video content on meniscus repair. The hypothesis was that this source of information is not relevant for patients. Methods: A YouTube search was carried out using the keywords "meniscus repair". Videos had to have had more than 10,000 views to be included. The videos were analyzed by two evaluators. Various features of the videos were recorded (number of views, date of publication, "likes", "don’t likes", number of comments, source, type of content and the origin of the video). The quality of the video content was analyzed by two validated information system scores: the JAMA benchmark score (0 to 4) and the Modified DISCERN score (0 to 5). A specific meniscus repair score (MRSS scored out of 22) was developed for this study, in the same way that a specific score has been developed for other similar studies (anterior cruciate ligament, spine, etc.). Results: Forty-four (44) videos were included in the study. The average number of views per video was 180,100 (± 222,000) for a total number of views of 7,924,095. The majority of the videos were from North America (90.9%). In most cases, the source (uploader) that published the video was a doctor (59.1%). A manufacturer, an institution and a non-medical source were the other sources. The content actually contained information on meniscus repair in only 50% of the cases. The mean scores for the JAMA benchmark, MD score and MRSS were 1.6/4± 0.75, 1.2/5 ± 1.02 and 4.5/22 (± 4.01) respectively. No correlation was found between the number of views and the quality of the videos. The quality of videos from medical sources was not superior to those from other sources. Conclusion: The content of YouTube videos on meniscus repair is of very low quality. Physicians should inform patients and, more importantly, contribute to the improvement of these contents.

Qualitative evaluation of paediatric surgical otolaryngology content on YouTube

2020 ◽  
Vol 134 (2) ◽  
pp. 135-137 ◽  
Author(s):  
B Ward ◽  
R Bavier ◽  
C Warren ◽  
J Yan ◽  
B Paskhover
Keyword(s):  
Health Information ◽  
Qualitative Evaluation ◽  
Video Content ◽  
Medical Decisions ◽  
High Quality ◽  
Youtube Videos ◽  
The Mean

AbstractObjectiveThis study evaluated the quality of YouTube content focusing on common paediatric otolaryngology procedures, as this content can influence the opinions and medical decisions of patients.MethodsA total of 120 YouTube videos were compiled to review using the terms ‘adenoid removal’, ‘adenoidectomy’, ‘ear tubes’, ‘tympanostomy’, ‘tonsil removal’ and ‘tonsillectomy’. The Discern criteria was used to rate the quality of health information presented in each video.ResultsThe mean bias Discern score was 3.18 and the mean overall Discern score was 2.39. Videos including US board certified physicians were rated significantly higher (p < 0.001) than videos without (bias Discern score = 3.00 vs 2.38; overall Discern score = 3.79 vs 1.55). The videos had been viewed a total of 176 769 549 times.ConclusionUnbiased, high quality videos on YouTube are lacking. As patients may rely on this information when making medical decisions, it is important that practitioners continually evaluate and improve this video content. Otolaryngologists should be prepared to discuss YouTube content with patients.

Reference Viewpoints Selection for Multi-View Video Plus Depth Coding Based on the Network Bandwidth Constraint

2013 ◽  
Vol 303-306 ◽  
pp. 2134-2138
Author(s):  
Lei Luo ◽  
Rong Xin Jiang ◽  
Xiang Tian ◽  
Yao Wu Chen
Keyword(s):  
Video Quality ◽  
Server Side ◽  
Network Bandwidth ◽  
Bandwidth Constraint ◽  
Depth Coding ◽  
Selection For ◽  
Free Viewpoint Video ◽  
The Impact

In multi-view video plus depth (MVD) coding based free viewpoint video applications, a few reference viewpoints’ texture and depth videos should be compressed and transmitted at the server side. At the terminal side, the display view videos could be the decoded reference view videos or the virtual viewpoints’ videos which are synthesized by DIBR technology. The entire video quality of all display views are decided by the number of reference viewpoints and the compression distortion of each reference viewpoint’s texture and depth videos. This paper studies the impact of the reference viewpoints selection on the entire video quality of all display views. The results show that depending on the available network bandwidth, the MVD coding requires different selections of reference viewpoints to maximize the entire video quality of all display views.

scholarly journals Transition from pandemic to infodemic: an analysis of Turkish-language COVID-19 YouTube videos

2021 ◽  
Author(s):  
Fatih Cakmak ◽  
Seda Ozkan ◽  
Afsin Ipekci ◽  
Altug Kanbakan ◽  
Turker Demirtakan ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Professionals ◽  
Medical Information ◽  
Video Content ◽  
Global Quality ◽  
Content Index ◽  
Health Related ◽  
Youtube Videos ◽  
Turkish Language

Background: YouTube can be a powerful educational tool for the dissemination of health information. However, if uploaded health-related videos are inaccurate, it can mislead, create confusion and generate panic. Aims: This study aimed to determine the success of the most-watched Turkish-language COVID-19 YouTube videos regarding information and guidance on the disease for the public. The secondary aim of this study was to evaluate the accuracy and quality of such video content. Methods: The study was conducted during May 2020 and analysed 133 videos. The length of the videos, the number of likes and dislikes, comments and views, how long they have been on YouTube, Medical Information and Content Index (MICI) Score, mDISCERN scores, global quality scores, and the source and target audiences of the videos were all determined. Results: The average MICI Scores of videos was 2.48±3.74 and the global quality scores was 1.27±0.64. When MICI Scores were compared between video sources, the scores of academic hospitals and government videos were significantly higher. The global quality scores of videos from news agencies and independent users was significantly lower (P < 0.001). Among the targeted videos, only the global quality scores of the videos made for health-care workers were found to be significantly higher. Conclusion: Health-care professionals should upload more videos to improve the quality of health-related video content available on YouTube. Accompanied by evidence-based information, the issues of diagnosis, ways of transmission, prevention and treatment of diseases should be emphasized.

scholarly journals Prediction of Environmental Pollution Using Hybrid PSO-K-Means Approach

2021 ◽  
Vol 12 (2) ◽  
pp. 65-76
Author(s):  
Manish Mahajan ◽  
Santosh Kumar ◽  
Bhasker Pant
Keyword(s):  
Air Quality ◽  
Environmental Pollution ◽  
Productivity Loss ◽  
Hybrid Approach ◽  
Quality Data ◽  
Quality Prediction ◽  
Clustering Methods ◽  
Air Quality Prediction ◽  
The Impact

Air pollution is increasing day by day, decreasing the world economy, degrading the quality of life, and resulting in a major productivity loss. At present, this is one of the most critical problems. It has a significant impact on human health and ecosystem. Reliable air quality prediction can reduce the impact it has on the nearby population and ecosystem; hence, improving air quality prediction is the prime objective for the society. The air quality data collected from sensors usually contains deviant values called outliers which have a significant detrimental effect on the quality of prediction and need to be detected and eliminated prior to decision making. The effectiveness of the outlier detection method and the clustering methods in turn depends on the effective and efficient choice of parameters like initial centroids and number of clusters, etc. The authors have explored the hybrid approach combining k-means clustering optimized with particle swarm optimization (PSO) to optimize the cluster formation, thereby improving the efficiency of the prediction of the environmental pollution.

scholarly journals YouTube as a resource for evaluating the unmet needs of caregivers of stroke survivors

2019 ◽  
Vol 26 (3) ◽  
pp. 1599-1616 ◽  
Author(s):  
Alexandra MJ Denham ◽  
Amanda L Baker ◽  
Neil J Spratt ◽  
Olivia Wynne ◽  
Sally A Hunt ◽  
...  
Keyword(s):  
Unmet Needs ◽  
Online Communication ◽  
The United States ◽  
Stroke Survivors ◽  
Online Video ◽  
Inclusion Criteria ◽  
Video Sharing ◽  
Youtube Videos ◽  
Insight Into

Content produced by caregivers of stroke survivors on the online video-sharing platform YouTube may be a good source of knowledge regarding caregivers’ unmet needs. We aimed to examine the content, quantity and quality of YouTube videos that target and discuss the needs and concerns of caregivers of stroke survivors. YouTube was systematically searched using six search strings, and the first 20 videos retrieved from each search were screened against the inclusion criteria. A pre-determined coding schedule was used to report the rate of unmet needs in each video. Twenty-six videos were included in the analysis. In total, 291 unmet needs were reported by caregivers of stroke survivors, an average of 11.2 unmet needs per video. The most common unmet needs domain was ‘Impact of Caregiving on Daily Activities’ (44%). Most videos were developed in the United States (61.5%) and featured spouses of stroke survivors (65.47%). Content produced by caregivers of stroke survivors on YouTube may be used as a tool for caregivers to provide and receive support through online communication. YouTube videos offer insight into the unmet needs of caregivers of stroke survivors and may be used as an additional resource for stroke services to support caregivers.

scholarly journals A Longitudinal Study on Quality of Experience (QoE) measures to predict customer’s Likelihood to Recommend (L2R) a service

2019 ◽  
Vol 63 (1) ◽  
pp. 148-152
Author(s):  
Amin Azad ◽  
Mark Chignell ◽  
Leon Zucherman
Keyword(s):  
Longitudinal Study ◽  
Quality Of Experience ◽  
Technical Quality ◽  
Single Session ◽  
Short Period ◽  
Youtube Videos ◽  
The Impact ◽  
Over Time

Models that predict satisfaction with a service over time need to consider the impact of emotions and remembered quality of experience in predicting overall attitudes towards a service. However, prior research on subjective quality of experience has typically focused on experiments conducted in a single session or over a short period of time. Thus, there is a gap between our understanding of instantaneous quality of experience and long-term judgments, such as overall satisfaction, and likelihood to recommend and likelihood to churn. The goal of the study reported here was to carry out a longitudinal study that would provide initial insights into how experiences of service quality over time are accumulated into memories that then drive longer term attitudes about the service. Our longitudinal study was carried out over a period of roughly 4 weeks with around 3 sessions per week. To facilitate the study, an online service was constructed that would let participants search through YouTube videos, and that added impairments (specified according to an overall experimental design) to the videos before they were played. Participants were asked to rate several measures, including Technical Quality, after each video was viewed. They were also asked to give overall impressions after each session of five videos had been viewed. The results were analyzed in terms of both sequencing effects within sessions. and memory effects that carried over between sessions.

scholarly journals An evaluation of YouTube video content regarding erectile dysfunction

2021 ◽  
Keyword(s):  
Erectile Dysfunction ◽  
Treatment Options ◽  
Quality Criteria ◽  
Consumer Health ◽  
Video Content ◽  
Sources Of Information ◽  
Social Media Platforms ◽  
Youtube Videos ◽  
The Mean

Purpose: YouTubeTM is one of the most popular social media platforms on the internet, and patients with chronic disease frequently use it to seek treatment options. In this study, we aimed to evaluate the quality of YouTube videos about erectile dysfunction. Materials & methods: The terms "erectile dysfunction treatment'', "erectile dysfunction surgery'', and "cure erectile dysfunction'' were entered into the YouTube search bar. A total of 56 videos were included in the study. Videos' view counts; upload dates; like, dislike, and comment counts; uploader qualifications; length; and content were recorded. Video power index (VPI), Quality Criteria for Consumer Health Information (DISCERN), and Journal of the American Medical Association (JAMA) scores were determined. Results: Thirty-two (57.1%) videos consisted of real images, and 24 (42.9%) contained animated images. Twenty-four (42.9%) videos were uploaded by physicians, and 32 (57.1%) were uploaded by non-physicians. The mean like count of the videos was 5,307 ± 17.618, the mean dislike count was 560.07 ± 1548.07, and the mean comment count was 235 ± 373. The mean VPI value of the videos was calculated as 81.19 ± 21.19, the DISCERN score was 30.5 ± 8.1, and the JAMA score was 1.23 ± 0.55. Overall quality was very poor in 24 (42.9%) of the examined videos, poor in 21 (37.5%), average in 10 (17.9%), and good in one (1.8%). Conclusion: The overall quality of YouTube content on erectile dysfunction was not sufficient to provide reliable information for patients. Physicians should warn patients about the limitations of YouTube and direct them toward more appropriate sources of information.

scholarly journals A Comparison Study of DASH Technique by Video Streaming over IP with the Use of RTP and HTTP Protocols

2020 ◽  
Vol 1 ◽  
pp. 70-75
Author(s):  
Christian Hoppe ◽  
Tadeus Uhl
Keyword(s):  
Video Streaming ◽  
New Technology ◽  
Ip Networks ◽  
Video Sequences ◽  
The Internet ◽  
Online Video ◽  
Comparison Study ◽  
New Applications ◽  
The Impact

Today’s Internet knows no bounds. New applications are marketed every single day. Many of them incorporate video sequences. These must be transported over the Internet quickly (often in real time). However, the Internet has not been designed for live communications and, regrettably, this may become apparent all too quickly. Countermeasures are required in the form of new, efficient transport techniques facilitating online video services. MPEG-DASH is one of such modern techniques. But how good is this new technique really? This paper delves into the matter. The paper contains an analysis of the impact that the new technology exerts on the quality of video streaming over IP networks. It also describes a new numerical tool – QoSCalc (DASH-HTTP) which has been used to analyze MPEG-DASH under different use scenarios. The results are presented graphically and their interpretation is provided

YouTube Videos on Parkinson’s Disease are a Relevant Source of Patient Information

2021 ◽  
pp. 1-10
Author(s):  
Anne K. Braczynski ◽  
Bergita Ganse ◽  
Stephanie Ridwan ◽  
Christian Schlenstedt ◽  
Jörg B. Schulz ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Video Content ◽  
Search Results ◽  
Related Information ◽  
Global Quality ◽  
Quality Video ◽  
Health Related ◽  
Youtube Videos

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.

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