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Статті в журналах з теми "Youtube Users"
Hariyani, Nunik. "Konstruksi Konten Vlog Penerima Diamond Play Button Di Youtube Indonesia." JURNAL SOSIAL : Jurnal Penelitian Ilmu-Ilmu Sosial 21, no. 1 (May 9, 2020): 24–33. http://dx.doi.org/10.33319/sos.v21i1.55.
Повний текст джерелаTsao, Wen-Yu. "Understanding Users’ Preference to Engage in YouTubers." International Journal of Human Resource Studies 9, no. 1 (February 17, 2019): 277. http://dx.doi.org/10.5296/ijhrs.v9i1.14357.
Повний текст джерелаWidjaja, Kevin, and Raymond Sunardi Oetama. "K-Means Clustering Video Trending di Youtube Amerika Serikat." Ultima InfoSys : Jurnal Ilmu Sistem Informasi 11, no. 2 (December 28, 2020): 78–84. http://dx.doi.org/10.31937/si.v11i2.1508.
Повний текст джерелаBuf, Diana-Maria, and Oana Ștefăniță. "Uses and Gratifications of YouTube: A Comparative Analysis of Users and Content Creators." Romanian Journal of Communication and Public Relations 22, no. 2 (July 1, 2020): 75. http://dx.doi.org/10.21018/rjcpr.2020.2.301.
Повний текст джерелаO’Callaghan, Derek, Derek Greene, Maura Conway, Joe Carthy, and Pádraig Cunningham. "Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems." Social Science Computer Review 33, no. 4 (October 16, 2014): 459–78. http://dx.doi.org/10.1177/0894439314555329.
Повний текст джерелаKim, Dukjin, Wooyoung Lee, Dohyung Kim, and Gwangyong Gim. "An Empirical Study on Filter Bubbles in the YouTube Comments Network." International Journal of Software Innovation 9, no. 3 (July 2021): 52–65. http://dx.doi.org/10.4018/ijsi.2021070104.
Повний текст джерелаWattenhofer, Mirjam, Roger Wattenhofer, and Zack Zhu. "The YouTube Social Network." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (August 3, 2021): 354–61. http://dx.doi.org/10.1609/icwsm.v6i1.14243.
Повний текст джерелаKhan, Rafaqat Alam. "Spammer Detection: A Study of Spam Filter Commentson YouTube Videos." International Journal for Electronic Crime Investigation 2, no. 4 (December 7, 2018): 5. http://dx.doi.org/10.54692/ijeci.2018.020425.
Повний текст джерелаKhan, Rafaqat Alam. "Spammer Detection: A Study of Spam Filter Commentson YouTube Videos." International Journal for Electronic Crime Investigation 2, no. 4 (December 7, 2018): 5. http://dx.doi.org/10.54692/ijeci.2019.030125.
Повний текст джерелаWijayanto, Xenia Angelica, and Lestari Nurhajati. "Copyright issue on music back sound usage by Indonesian YouTuber." Journal of Social Studies (JSS) 16, no. 2 (September 24, 2020): 137–56. http://dx.doi.org/10.21831/jss.v16i2.31055.
Повний текст джерелаДисертації з теми "Youtube Users"
OLIVEIRA, DANIELA FERNANDES DE. "SURFING ON YOUTUBE: THE MASS SELF COMMUNICATION AND THE VIDEOS BROADCASTED BY COMMON USERS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14700@1.
Повний текст джерелаRecentemente, de maneira mais extensiva, mas desde o fim da década de 90, um fenômeno pôs em cheque os papéis de quem produz e de quem consome informação no mundo. Esta dissertação procura analisar esse fenômeno na internet, chamado aqui de comunicação individual de massa. Especificamente, o foco deste estudo é o site de compartilhamento de vídeos YouTube, cujo slogan é broadcast yourself, ou seja, transmita você mesmo, e que conta com mais de 78 milhões de vídeos publicados – são cerca de 240 mil filmes adicionados todos os dias. Integrante da fase web 2.0, na qual pessoas comuns passaram a publicar textos, fotos, vídeos, comentários, desenhos e outros tipos de conteúdo na internet, o YouTube, originalmente concebido por três amigos desejosos de compartilhar com outros amigos seus vídeos pessoais, hoje integra o Google Inc., um dos maiores grupos do mercado web. Além das réplicas de conteúdos já exibidos no cinema, na TV e em outros meios, a grande maioria dos vídeos publicados e exibidos no site é totalmente inusitada. Para a análise, foram agrupados os vídeos produzidos por usuários comuns em três categorias: filmes virais, de família e videobiografias. Por meio das análises desses filmes e do diálogo com teóricos, são elaboradas questões atuais, como identidade, autoria e agenciamento coletivo, que parecem refletir bem a sociedade conectada.
Recently, more extensively, but since the end of the 90s, a phenomenon has changed the roles of those who produce and consume information in the world. This dissertation attempts to analyze this phenomenon, called here mass self communication, which took place in the internet in recent years. Specifically, the focus of this study is the website YouTube, whose slogan is broadcast yourself, and has over 78 million uploaded videos - about 240 thousand movies are being added there every day. Of the web 2.0 phase, in which ordinary people publish text, photos, videos, comments, drawings and other types of content on the internet, YouTube, originally conceived by three friends willing to share with their group their personal videos, today integrate Google Inc., one of the largest worldwide technology corporation groups. In addition to the large amount of cloned content, copied and digitalized from blockbuster movies, clips, TV soap opera and other sources, most of the videos published and displayed in YouTube are brand new. For the analysis of these videos produced by common users, they were grouped in three categories: viral films, family movies and video biographies. Some selected issues, particularly of identity, authorship and agency are then discussed, raising speculations about the nature and prospects of a interconnected society.
Miia, Andrada, and Kaili Dong. "Avoiding Personalized Ads on Social Media : Understanding how YouTube users experience personalized advertising and what leads to ad avoidance in the context of personalization." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44135.
Повний текст джерелаZhen, Zuguang. "The effect of mobile cellular network performance and contextual factors on smartphone users’ satisfaction : A study on QoE evaluation for YouTube video streaming via CrowdSourcing." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177566.
Повний текст джерелаGerlock, Grant L. "Have it Your Way: Audience and Brand Identity in User-Generated Advertising." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1322833440.
Повний текст джерелаArmstrong, Erin H. "Political Campaigning 2.0: How the 2008 Obama-Biden and McCain-Palin Campaigns and Web Users Framed Race, Gender, and Age." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1386020805.
Повний текст джерелаLundberg, Niclas, and Anders Söderman. "Establishment on YouTube : Catchphrases, communities and user involvement." Thesis, Umeå universitet, Institutionen för informatik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-46136.
Повний текст джерелаHagerty, Sean P. "An examination of the uses and gratifications of YouTube." Click here for download, 2008. http://proquest.umi.com/pqdweb?did=1629576031&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.
Повний текст джерелаKim, Jin. "User-generated content (UGC) revolution?: critique of the promise of YouTube." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/529.
Повний текст джерелаRam, Shri, and Nitin Paliwal. "Design and Development of Multimedia Based User Education Program: The Advantages of YouTube." KBD Publication, 2012. http://hdl.handle.net/10150/299604.
Повний текст джерелаRam, Shri, and Nitin Paliwal. "Design and Development of Multimedia Based User Education Program: The Advantages of YouTube." KBD Publications, 2013. http://hdl.handle.net/10150/283594.
Повний текст джерелаКниги з теми "Youtube Users"
L, Hargrave C., ed. I, Justine: An analog memoir. New York: Simon & Schuster, 2015.
Знайти повний текст джерелаLa edad de la verdad. Mexico, D.F: Planeta Pub Corp., 2015.
Знайти повний текст джерелаReally professional Internet person. New York, NY: Scholastic, Incorporated, 2015.
Знайти повний текст джерелаHan'gukhyŏng UCC mak'et'ing. Sŏul-si: Haenaem, 2007.
Знайти повний текст джерелаChin-yŏng, Chang, ред. Taehan Minʼguk UCC tʻŭraedŭ. Sŏul-si: Saebit, 2007.
Знайти повний текст джерелаChin-yŏng, Chang, ред. Taehan Minʼguk UCC tʻŭraedŭ. Sŏul-si: Saebit, 2007.
Знайти повний текст джерелаChin-yŏng, Chang, ред. Taehan Minʼguk UCC tʻŭraedŭ. Sŏul-si: Saebit, 2007.
Знайти повний текст джерелаThe cult of the amateur: How blogs, MySpace, YouTube, and the rest of today's user-generated media are destroying our economy, our culture, and our values. New York: Currency Doubleday, 2007.
Знайти повний текст джерелаKeen, Andrew. The cult of the amateur: How today's internet is killing our culture. London: Nicholas Brealey, 2007.
Знайти повний текст джерелаKeen, Andrew. The Cult of the Amateur. New York: Broadway Books, 2007.
Знайти повний текст джерелаЧастини книг з теми "Youtube Users"
Hutchinson, Jonathon, and Tim Dwyer. "How Instagram and YouTube users share news." In The Dynamics of Influencer Marketing, 123–42. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003134176-8.
Повний текст джерелаVazquez-Calvo, Boris, Nikolaj Elf, and Adriana Gewerc. "Catalan Teenagers’ Identity, Literacy and Language Practices on YouTube." In Technology and the Psychology of Second Language Learners and Users, 251–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34212-8_10.
Повний текст джерелаSureka, Ashish, Ponnurangam Kumaraguru, Atul Goyal, and Sidharth Chhabra. "Mining YouTube to Discover Extremist Videos, Users and Hidden Communities." In Information Retrieval Technology, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17187-1_2.
Повний текст джерелаVybihal, Joseph, and Mika Desblancs. "Analysis of the Impact of Algorithms on Siloing Users: Special Focus on YouTube." In AI and Society, 51–69. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003261247-6.
Повний текст джерелаYang, Peter. "The Cognitive and Psychological Effects of YouTube Video Captions and Subtitles on Higher-Level German Language Learners." In Technology and the Psychology of Second Language Learners and Users, 83–112. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34212-8_4.
Повний текст джерелаRulyova, Natalia. "Russian New Media Users’ Reaction to a Meteor Explosion in Chelyabinsk: Twitter Versus YouTube." In Emerging Genres in New Media Environments, 79–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40295-6_4.
Повний текст джерелаO’Neill, Stephen. "Theorizing User Agency in YouTube Shakespeare." In The Shakespeare User, 129–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61015-3_7.
Повний текст джерелаHan, Yo-Sub, Laehyun Kim, and Jeong-Won Cha. "Evaluation of User Reputation on YouTube." In Online Communities and Social Computing, 346–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02774-1_38.
Повний текст джерелаKsiazek, Thomas B., and Limor Peer. "User Comments And Civility On Youtube." In The Routledge Companion to Digital Journalism Studies, 244–52. London ; New York : Routledge, 2017.: Routledge, 2016. http://dx.doi.org/10.4324/9781315713793-25.
Повний текст джерелаTiwari, Sunita, Abhishek Jain, Prakhar Kothari, Rahul Upadhyay, and Kanishth Singh. "Learning User Preferences for Recommender System Using YouTube Videos Tags." In Computational Science and Its Applications – ICCSA 2018, 464–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95171-3_36.
Повний текст джерелаТези доповідей конференцій з теми "Youtube Users"
Chowdhury, Shaiful Alam, and Dwight Makaroff. "Characterizing Videos and Users in YouTube: A Survey." In 2012 Seventh International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2012. http://dx.doi.org/10.1109/bwcca.2012.47.
Повний текст джерелаTomlein, Matus, Branislav Pecher, Jakub Simko, Ivan Srba, Robert Moro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, and Maria Bielikova. "Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/749.
Повний текст джерелаAnagnostou, Antonios, Ioannis Mollas, and Grigorios Tsoumakas. "Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/841.
Повний текст джерелаSpinelli, Larissa, and Mark Crovella. "How YouTube Leads Privacy-Seeking Users Away from Reliable Information." In UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3386392.3399566.
Повний текст джерелаGao, Wenxi, Ishmael Rico, and Yu Sun. "Data-Driven Intelligent Application for Youtube Video Popularity Analysis using Machine Learning and Statistics." In 2nd International Conference on Blockchain and Internet of Things (BIoT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110807.
Повний текст джерелаNie, Bin, Honggang Zhang, and Yong Liu. "Social interaction based video recommendation: Recommending YouTube videos to facebook users." In IEEE INFOCOM 2014 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2014. http://dx.doi.org/10.1109/infcomw.2014.6849175.
Повний текст джерелаRibeiro, Manoel Horta, Virgílio A. F. Almeida, and Wagner Meira Jr. "Misinformation, Radicalization and Hate Through the Lens of Users." In Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/ctd.2020.11373.
Повний текст джерелаIe, Eugene, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, and Craig Boutilier. "SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/360.
Повний текст джерелаHanafi, Muhammad Zein, and Rusdah. "Segmentation of Customers’ Experiences of YouTube Streaming Application Users in South Jakarta using K-means Method." In 2020 International Conference on Smart Technology and Applications (ICoSTA). IEEE, 2020. http://dx.doi.org/10.1109/icosta48221.2020.1570613873.
Повний текст джерела"An Examination of Trendyol’s Legendary-Days Youtube Ads Through Comments." In COMMUNICATION AND TECHNOLOGY CONGRESS. ISTANBUL AYDIN UNIVERSITY, 2021. http://dx.doi.org/10.17932/ctcspc.21/ctc21.035.
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