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Categorising YouTube

Thomas Mosebo Simonsen
2011 MedieKultur: Journal of Media and Communication Research  
Through an analysis of the different pragmatic contexts of YouTube, it is argued that a taxonomic understanding of YouTube must be analysed in regards to the vacillation of a user-driven bottom-up folksonomy  ...  With this taxonomic approach, the UGC videos are registered and analysed in terms of empirically based observations. The article identifies various UGC categories and their principal characteristics.  ...  The analysis draws on an empirical sample of videos, and it examines the processes of navigation.  ... 
doi:10.7146/mediekultur.v27i51.5483 fatcat:wazixtnlzzc33cqxitr5jsbxjq

Measuring Audience Retention in YouTube

Eitan Altman, Tania Jiménez
2019 Proceedings of the 12th EAI International Conference on Performance Evaluation Methodologies and Tools - VALUETOOLS 2019  
There exist many aspects involved in a video turning viral on YouTube.  ...  These include properties of the video such as the attractiveness of its title and thumbnail, the recommendation policy of YouTube, marketing and advertising policies and the influence that the video's  ...  In [7] we carried out an empirical analysis of some stability properties of the stochastic processes that describes the sequence of videos that are watched by a YouTube user who moves from watching one  ... 
doi:10.1145/3306309.3306322 dblp:conf/valuetools/AltmanJ19 fatcat:l5qhsmrt3fd5zarzpwt5mab55y

YouTube as archive

Robert Gehl
2009 International journal of cultural studies  
As these new "curators" step in, the competition for the time and attention of an audience -and therefore advertising revenue -will inevitably lessen as internet media becomes more and more oligarchical  ...  At first glance, the ease with which individuals can access and contribute to YouTube sets it in direct opposition to large corporate media outlets with their top-down mode of dissemination.  ...  The most common use is in a section titled "Viral Video," which features footage culled from YouTube and other video sites.  ... 
doi:10.1177/1367877908098854 fatcat:vd7s7p3uufb2pfcodvqx3g6nxu

Youtube traffic characterization

Phillipa Gill, Martin Arlitt, Zongpeng Li, Anirban Mahanti
2007 Proceedings of the 7th ACM SIGCOMM conference on Internet measurement - IMC '07  
Over a three month period we observed almost 25 million transactions between users on an edge network and YouTube, including more than 600,000 video downloads.  ...  We also monitored the globally popular videos over this period of time.  ...  We determined the exponent β by performing a regression analysis. We find β = 0.56 fits our empirical observations very well with an R 2 goodness of fit value of 0.97.  ... 
doi:10.1145/1298306.1298310 dblp:conf/imc/GillALM07 fatcat:rxduc6muozbhndx7st3on7wzwm

Bio-inspired models for characterizing YouTube viewcout

Cedric Richier, Eitan Altman, Rachid Elazouzi, Tania Jimenez, Georges Linares, Yonathan Portilla
2014 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)  
We show, using a large set of empirical data, that the viewcount for 90% of videos in YouTube can indeed be associated to at least one of these models, with a Mean Error which does not exceed 5%.  ...  The goal of this paper is to study the behaviour of viewcount in YouTube. We first propose several bio-inspired models for the evolution of the viewcount of YouTube videos.  ...  grows over time.  ... 
doi:10.1109/asonam.2014.6921600 dblp:conf/asunam/RichierAAJLP14 fatcat:3kunfbmkajasfdl2xfonzfinwu

On Sharing Viral Video over an Ad Hoc Wireless Network [article]

Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai
2011 arXiv   pre-print
We consider the problem of broadcasting a viral video (a large file) over an ad hoc wireless network (e.g., students in a campus).  ...  ., a YouTube link posted on Facebook).  ...  Given a transmission pair with rate r over an Euclidean distance ρ on the wireless-square, define the bit-meter rate of the transmission pair as rρ.  ... 
arXiv:1101.5088v1 fatcat:obpycjflmvgyfmhyfwtibtmhzu

Modelling View-count Dynamics in YouTube [article]

Cédric Richier, Eitan Altman, Rachid Elazouzi, Tania Altman, Georges Linares, Yonathan Portilla
2014 arXiv   pre-print
We show, using a large set of empirical data, that the view-count for 90% of videos in YouTube can indeed be associated to at least one of these models, with a Mean Error which does not exceed 5%.  ...  The goal of this paper is to study the behaviour of view-count in YouTube. We first propose several bio-inspired models for the evolution of the view-count of YouTube videos.  ...  Music (over 14000 videos), Entertainment (over 8500 videos), People (around 7500 videos) and Education (almost 6000 videos).  ... 
arXiv:1404.2570v2 fatcat:prwscno56jdf3jhyripciim7cm

Fórmula para medir el engagement del espectador en YouTube: investigación exploratoria sobre los principales youtubers españoles

Alberto-Jesús López-Navarrete, Marga Cabrera-Méndez, Rebeca Díez-Somavilla, Ángeles Calduch-Losa
2021 Revista Mediterránea de Comunicación  
Los resultados, aplicando la fórmula propuesta sobre los principales youtubers españoles, confirman el aumento de la interacción en el usuario español de YouTube.  ...  y de impacto, datos que la red social de YouTube permite recoger a cualquier usuario.  ...  The objective is to offer an initial set of empirical data and some general observations that will be able to support future research related to YouTube and user interaction, while providing a useful formula  ... 
doi:10.14198/medcom000013 fatcat:zgrzcshohjf3ri2ntfjgbggtp4

Crowdfunding and global health disparities: an exploratory conceptual and empirical analysis

Nora J. Kenworthy
2019 Globalization and Health  
To map and document how medical crowdfunding is shaped by, and shapes, health disparities, this article offers an exploratory conceptual and empirical analysis of medical crowdfunding platforms and practices  ...  Data are drawn from a mixed-methods analysis of medical crowdfunding campaigns, as well as an ongoing ethnographic study of crowdfunding platforms and the people who use them.  ...  She has also served as an important and ongoing interlocutor for many of the overarching ideas included in this article.  ... 
doi:10.1186/s12992-019-0519-1 pmid:31775896 pmcid:PMC6882318 fatcat:osfl4qlyuvaqzirblnbcnfysti

Twitter-driven YouTube Views

Honglin Yu, Lexing Xie, Scott Sanner
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
of Twitter-driven YouTube views.  ...  In summary, by going beyond features that quantify individual influence and additionally leveraging collective features of activity variation, we are able to obtain an effective cross-network predictor  ...  We perform an analysis on the informativeness of individual feature dimensions described in Sec 3.  ... 
doi:10.1145/2647868.2655037 dblp:conf/mm/YuXS14 fatcat:m6ly6hx2qzfilpe4rsdkphdlrm

Category-Based YouTube Request Pattern Characterization [chapter]

Shaiful Alam Chowdhury, Dwight Makaroff
2014 Lecture Notes in Business Information Processing  
In this paper, we consider category as a distinguishing feature of a video and perform an extensive analysis of a snapshot of videos uploaded over two 24-hour periods.  ...  This workload generator matches the empirical data on a number of statistical measurements.  ...  We developed an analysis method that permits quantification of these differences on a particular dataset.  ... 
doi:10.1007/978-3-662-44300-2_10 fatcat:rvrfi4vqkfdsxd6mwd42wzbnai

"Failures" to be celebrated: an analysis of major pivots of software startups

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen Duc, Pekka Abrahamsson
2016 Empirical Software Engineering  
An example of value capture pivot can be an online service changing from freemium price model to monthly subscription fee model. & Engine of Growth Pivot: Typical growth engines for startups are viral  ...  One internal validity threat to our findings is also related to the secondary data we employed since we have no control over the quality and accuracy of the data, which leads to a weak basis for data analysis  ... 
doi:10.1007/s10664-016-9458-0 fatcat:cpyl3d4nkrfmnmucoh6dsykdta

Information Diffusion with Content Crossover in Online Social Media: An Empirical Analysis of the Social Transmission Process in Twitter

Joseph Kwon, Ingoo Han
2013 2013 46th Hawaii International Conference on System Sciences  
Social media has attracted attention as an information channel for content generated in heterogeneous Internet services.  ...  These effects vary when shared content is linked with an external service by a URL. Source influence and peer referral have a positive impact on cascade size in the content dissemination process.  ...  With these research objectives, we conduct empirical analysis using a large amount of Twitter transaction data.  ... 
doi:10.1109/hicss.2013.268 dblp:conf/hicss/KwonH13 fatcat:klqc3j7tvnayffi3s4ogwdr2qe

A latent social approach to YouTube popularity prediction

Amandianeze O. Nwana, Salman Avestimehr, Tsuhan Chen
2013 2013 IEEE Global Communications Conference (GLOBECOM)  
an implicit network.  ...  In this paper we predict the popularity distribution of YouTube videos within a campus network.  ...  On the small cache sizes, we get an improvement of about 6.1% over baseline by using the viralness approach. Inter-arrival Time.  ... 
doi:10.1109/glocom.2013.6831554 dblp:conf/globecom/NwanaAC13 fatcat:wdusz7va4zhghdmsgsfknuauyu

Application of Cluster Analysis in Marketing Communications in Small and Medium-Sized Enterprises: An Empirical Study in the Slovak Republic

Lenka Ližbetinová, Peter Štarchoň, Silvia Lorincová, Dagmar Weberová, Petr Průša
2019 Sustainability  
Descriptive statistics, cluster analysis using K-means clustering, and an analysis of variance (ANOVA) were used to identify no statistically significant difference in terms of the size of enterprises.  ...  Moreover, an enterprise's success is affected by the aforementioned process.  ...  Table 7 . 7 ANOVA analysis of clusters vs. the use of an agency implementing the marketing communication program. Sum of Squares df Mean Square F Sig.  ... 
doi:10.3390/su11082302 fatcat:u472x2n54zet3nl5j36qwywj6e
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