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1

Tahir Cahangirova, Aytac. "THE CONCEPT OF USER-GENERATED CONTENT." SCIENTIFIC WORK 53, no. 04 (2020): 111–14. http://dx.doi.org/10.36719/aem/2007-2020/53/111-114.

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2

Stöckl, Ralph, Christoph Grau, and Thomas Hess. "User Generated Content." MedienWirtschaft 3, no. 4 (2006): 46–50. http://dx.doi.org/10.15358/1613-0669-2006-4-46.

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User Generated Content ist ein aktuelles und stark diskutiertes Phänomen, das zu zentralen Veränderungen in der Medienwirtschaft führen könnte. Was genau aber ist unter diesem Begriff zu verstehen, warum beteiligen sich Nutzer überhaupt an der Inhalteerstellung und inwiefern können Medienunternehmen davon profitieren? Der vorliegende Stichwortbeitrag greift diese Fragestellungen auf, indem er zunächst den Begriff präzisiert und einordnet. Darauf aufbauend werden die zugrunde liegenden technologischen Treiber aufgezeigt und sowohl nutzer- als auch anbieterseitige Motive diskutiert. Die Ausführu
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3

Krumm, John, Nigel Davies, and Chandra Narayanaswami. "User-Generated Content." IEEE Pervasive Computing 7, no. 4 (2008): 10–11. http://dx.doi.org/10.1109/mprv.2008.85.

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4

Wofford, Jennifer. "User-generated content." New Media & Society 14, no. 7 (2012): 1236–39. http://dx.doi.org/10.1177/1461444812453563.

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5

Jahangirova, Aytaj. "CHALLENGES İN PROTECTİON OF USER-GENERATED CONTENT." SCIENTIFIC WORK 54, no. 05 (2020): 95–98. http://dx.doi.org/10.36719/aem/2007-2020/54/95-98.

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Sydnee Valerie C. David, Sydnee Valerie C. David, Alyssa Simoen C. Gamilla Alyssa Simoen C. Gamilla, Shaun Kerstie D. Garcia Shaun Kerstie D. Garcia, Reanne Angela D. C. Palac Reanne Angela D.C. Palac, and Antonio E. Etrata Jr Antonio E. Etrata Jr. "User-Generated Content (UGC) and Firm-Generated Content (FGC): Evaluating Customer Loyalty Towards Iphone Pro." KINFORMS 19, no. 1 (2024): 37–56. http://dx.doi.org/10.55819/mrij.2024.19.1.37.

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7

Zhang, Kaifu, and Miklos Sarvary. "Differentiation with User-Generated Content." Management Science 61, no. 4 (2015): 898–914. http://dx.doi.org/10.1287/mnsc.2014.1907.

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8

Kittl, Christian, and Christian Zeidler. "User Generated Content und Metadatenmanagement." HMD Praxis der Wirtschaftsinformatik 44, no. 6 (2007): 57–67. http://dx.doi.org/10.1007/bf03341138.

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9

Kim, Yu-Jin. "What Drives Consumers’ Purchase Decisions?: User-and Marketer-generated Content." Korean Society for Emotion and Sensibility 24, no. 4 (2021): 79–90. http://dx.doi.org/10.14695/kjsos.2021.24.4.79.

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10

Jönsson, Anna Maria, and Henrik Örnebring. "USER-GENERATED CONTENT AND THE NEWS." Journalism Practice 5, no. 2 (2011): 127–44. http://dx.doi.org/10.1080/17512786.2010.501155.

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11

Gangadharbatla, Harsha, and Masoud Valafar. "Propagation of user-generated content online." International Journal of Internet Marketing and Advertising 11, no. 3 (2017): 218. http://dx.doi.org/10.1504/ijima.2017.085655.

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Gangadharbatla, Harsha, and Masoud Valafar. "Propagation of user-generated content online." International Journal of Internet Marketing and Advertising 11, no. 3 (2017): 218. http://dx.doi.org/10.1504/ijima.2017.10006729.

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13

Holmes, S., and P. Ganley. "User-generated content and the law." Journal of Intellectual Property Law & Practice 2, no. 5 (2007): 338–44. http://dx.doi.org/10.1093/jiplp/jpm032.

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14

Kasapakis, Vlasios, and Damianos Gavalas. "User-Generated Content in Pervasive Games." Computers in Entertainment 16, no. 1 (2017): 1–23. http://dx.doi.org/10.1145/3161570.

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15

Schnoor, Jerald L. "ES&T: user-generated content." Environmental Science & Technology 41, no. 13 (2007): 4487. http://dx.doi.org/10.1021/es0725605.

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16

Ghosh, Arpita. "Social computing and user-generated content." ACM SIGecom Exchanges 11, no. 2 (2012): 16–21. http://dx.doi.org/10.1145/2509002.2509006.

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17

Xu, Yueshen, and Jianwei Yin. "Collaborative recommendation with user generated content." Engineering Applications of Artificial Intelligence 45 (October 2015): 281–94. http://dx.doi.org/10.1016/j.engappai.2015.07.012.

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18

Wulandari, Irawati Sri, and Dwi Rohma Wulandari. "Peran User Generated Content Produk Mitochiba." representamen 9, no. 01 (2023): 98–112. http://dx.doi.org/10.30996/representamen.v9i01.8385.

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Perkembangan teknologi telah merubah perilaku konsumen dalam mengkonsumsi media. Kegiatan Marketing PR yang dilakukan perusahaan ikut berinovasi supaya dapat diterima pesan yang disampaikan diterima oleh masyarakat target audience nya. User generated content atau konten buatan pengguna muncul sebagai salah satu inovasi yang popular digunakan. Salah satu produk yang sukses dalam menggunakan strategi User Generated Content adalah Mitochiba melalui produknya yaitu Mitochiba Food Chopper menjadi favorit dari banyak content kreator masak memasak sebagai alat untuk mempersiapkan bahan masakan. Denga
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19

Jagger, Paul. "The Power of User-Generated Content." ITNOW 65, no. 1 (2023): 32–33. http://dx.doi.org/10.1093/combul/bwad017.

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20

Kim, Jin. "The institutionalization of YouTube: From user-generated content to professionally generated content." Media, Culture & Society 34, no. 1 (2012): 53–67. http://dx.doi.org/10.1177/0163443711427199.

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21

Tsiakali, Konstantina. "User-generated-content versus marketing-generated-content: personality and content influence on traveler’s behavior." Journal of Hospitality Marketing & Management 27, no. 8 (2018): 946–72. http://dx.doi.org/10.1080/19368623.2018.1477643.

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22

K., Yogeswara Rao. "Deep Learning-based Aspect-Level Sentiment Analysis of User-Generated Content." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 1457–65. http://dx.doi.org/10.5373/jardcs/v12sp4/20201624.

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23

Karahasanović, Amela, Petter Bae Brandtzæg, Jan Heim, et al. "Co-creation and user-generated content–elderly people’s user requirements." Computers in Human Behavior 25, no. 3 (2009): 655–78. http://dx.doi.org/10.1016/j.chb.2008.08.012.

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24

Grau, Christoph. "2. ZIM-Jahrestagung zu „User Generated Content“." MedienWirtschaft 4, no. 2 (2007): 46–47. http://dx.doi.org/10.15358/1613-0669-2007-2-46.

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Anfang Mai 2007 lud das interdisziplinäre Zentrum für Internetforschung und Medienintegration (ZIM) der Ludwig-Maximilians-Universität München (LMU) wieder zu seiner Jahrestagung ein, um der Fachöffentlichkeit ausgewählte Forschungsergebnisse vorzustellen. Dieses Mal stand die Veranstaltung ganz im Zeichen von User Generated Content (UGC). Grundsätzlich sind darunter Inhalte zu verstehen, die von Nutzern ohne direkte Gewinnerzielungsabsicht erstellt werden und für die Distribution über Massenmedien vorgesehen sind (Stöckl/Grau/Hess 2006). Nutzergenerierte Inhalte sind ein aktuelles und scheinb
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25

Kerkhof, Anna, and Johannes Münster. "Detecting coverage bias in user-generated content." Journal of Media Economics 32, no. 3-4 (2019): 99–130. http://dx.doi.org/10.1080/08997764.2021.1903168.

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26

Kumar, Ankit. "Review on studies on user generated content." South Asian Journal of Marketing & Management Research 11, no. 11 (2021): 89–95. http://dx.doi.org/10.5958/2249-877x.2021.00115.6.

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27

Ramirez, Edward, Roland Gau, John Hadjimarcou, and Zhenning (Jimmy) Xu. "USER-GENERATED CONTENT AS WORD-OF-MOUTH." Journal of Marketing Theory and Practice 26, no. 1-2 (2018): 90–98. http://dx.doi.org/10.1080/10696679.2017.1389239.

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28

Colistra, Rita, Eva Buchman, and Kevin Duvall. "User-Generated Content and Television News Stations." Electronic News 11, no. 3 (2016): 123–44. http://dx.doi.org/10.1177/1931243116672261.

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29

Baladrón, Carlos, Javier Aguiar, Belén Carro, et al. "Integrating User-Generated Content and Pervasive Communications." IEEE Pervasive Computing 7, no. 4 (2008): 58–61. http://dx.doi.org/10.1109/mprv.2008.76.

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30

McCreadie, Richard. "News vertical search using user-generated content." ACM SIGIR Forum 47, no. 1 (2013): 62–63. http://dx.doi.org/10.1145/2492189.2492202.

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31

SOKOLOVA, M., and G. LAPALME. "Learning opinions in user-generated web content." Natural Language Engineering 17, no. 4 (2011): 541–67. http://dx.doi.org/10.1017/s135132491100012x.

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AbstractThe user-generated Web content has been intensively analyzed in Information Extraction and Natural Language Processing research. Web-posted reviews of consumer goods are studied to find customer opinions about the products. We hypothesize that nonemotionally charged descriptions can be applied to predict those opinions. The descriptions may include indicators of product size (tall), commonplace (some), frequency of happening (often), and reviewer certainty (maybe). We first construct patterns of how the descriptions are used in consumer-written texts and then represent individual revie
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32

Dwyer, Paul. "Inferring brand proximities from user-generated content." Journal of Brand Management 19, no. 6 (2011): 467–83. http://dx.doi.org/10.1057/bm.2011.56.

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33

Timoshenko, Artem, and John R. Hauser. "Identifying Customer Needs from User-Generated Content." Marketing Science 38, no. 1 (2019): 1–20. http://dx.doi.org/10.1287/mksc.2018.1123.

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34

Sciascio, Cecilia Di, David Strohmaier, Marcelo Errecalde, and Eduardo Veas. "Interactive Quality Analytics of User-generated Content." ACM Transactions on Interactive Intelligent Systems 9, no. 2-3 (2019): 1–42. http://dx.doi.org/10.1145/3150973.

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35

Owen, Richard. "Unlocking insight through user generated visual content." Research World 2016, no. 60 (2016): 54–56. http://dx.doi.org/10.1002/rwm3.20432.

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36

Erickson, Amber. "Make Good Use of User‐Generated Content." Membership Management Report 20, no. 1 (2023): 1. http://dx.doi.org/10.1002/mmr.32253.

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37

Estima, Jacinto, and Marco Painho. "User Generated Spatial Content-Integrator: Conceptual Model to Integrate Data from Diverse Sources of User Generated Spatial Content." ISPRS International Journal of Geo-Information 5, no. 10 (2016): 183. http://dx.doi.org/10.3390/ijgi5100183.

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38

Zhu, Xingzhen, Markus Lang, and Helmut Max Dietl. "Content Quality Assurance on Media Platforms with User-Generated Content." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 3 (2023): 1660–86. http://dx.doi.org/10.3390/jtaer18030084.

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This paper develops a duopoly model for user-generated content (UGC) platforms, which compete for consumers and content producers in two-sided markets characterized by network externalities. Each platform has the option to invest in a content quality assurance (CQA) system and determine the level of advertising. Our model reveals that network effects are pivotal in shaping the platforms’ optimal strategies and user behavior, specifically in terms of single vs. multi-homing. We find that when network effects for producers are weak, consumers tend to engage in multi-homing while producers prefer
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39

Nanne, Annemarie J. "Creatie, content en consequenties van visuele merkgerelateerde user generated content." Tijdschrift voor Communicatiewetenschap 53, no. 2 (2025): 173–93. https://doi.org/10.5117/tcw2025.2.005.nann.

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40

Nguyen, Minh-Tien, Duc-Vu Tran, and Le-Minh Nguyen. "Social context summarization using user-generated content and third-party sources." Knowledge-Based Systems 144 (March 2018): 51–64. http://dx.doi.org/10.1016/j.knosys.2017.12.023.

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41

Dr., Kumari V. K. Shyni. "User Generated Contents in Digital Media – A Study on Customer Perception." International Journal of Current Science Research and Review 05, no. 03 (2022): 686–91. https://doi.org/10.5281/zenodo.6344504.

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Abstract : User generated contents are any type of contents which are created and shared by the customers voluntary through any digital platforms from their experiences with the product or service. User generated contents make positive or negative impact to the business. So user generated content acts as both opportunity and challenge to the business. In this study the researcher is aimed to study the customer’s perception on user generated contents in digital media. Both primary and secondary data are used. Primary data are collected from 26 males and 24 female respondents. Primary data
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42

Ma, Zirui, and Bin Gu. "The influence of firm-Generated video on user-Generated video: Evidence from China." International Journal of Engineering Business Management 14 (January 2022): 184797902211186. http://dx.doi.org/10.1177/18479790221118628.

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We examined the impact of firm-generated content on firm-related user-generated content. Researches have proven that firm-related user-generated content impacts firm revenue. Therefore, it is necessary to determine what factors stimulate the creation of firm-related user-generated content. Creating user-generated videos related to companies (e.g. E-sports) on Chinese online video platforms often includes the use of firm-generated videos as material. It may suggest that firm-generated content may play an essential role in influencing Internet users to create firm-related user-generated content.
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43

Li, Yongjun, Zhen Zhang, You Peng, Hongzhi Yin, and Quanqing Xu. "Matching user accounts based on user generated content across social networks." Future Generation Computer Systems 83 (June 2018): 104–15. http://dx.doi.org/10.1016/j.future.2018.01.041.

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44

Xu, Qinqing. "Copyright ownership of user-generated content in games." Journal of Gaming & Virtual Worlds 15, no. 2 (2023): 143–59. http://dx.doi.org/10.1386/jgvw_00077_1.

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An increasing number of games provide players with freedom to participate within the game world. Using , a world-famous game developed by Nintendo, as a case study, this article discusses the copyright ownership issues of player-created works in China. Although gaming companies hold intellectual property of gaming software, the copyright ownership of user-generated content still needs clarification. The article reviews the framework of copyright protection in China, followed by an analysis of courts’ interpretation of originality that is required for copyright protection. The user agreement be
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45

Li, Lei, Xin Lin, Yue Zhai, Caixia Yuan, Yanquan Zhou, and Jiayin Qi. "User communities and contents co-ranking for user-generated content quality evaluation in social networks." International Journal of Communication Systems 29, no. 14 (2014): 2147–68. http://dx.doi.org/10.1002/dac.2908.

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46

Spaniol, Marc, Ralf Klamma, and Mathias Lux. "Imagesemantics: User-Generated Metadata, Content Based Retrieval & Beyond." JUCS - Journal of Universal Computer Science 14, no. (10) (2008): 1792–807. https://doi.org/10.3217/jucs-014-10-1792.

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With the advent of Web 2.0 technologies a new attitude towards processing contents in the Internet has emerged. Nowadays it is a lot easier to create, share and retrieve multimedia contents on the Web. However, with the increasing amount in contents retrieval becomes more challenging and often leads to inadequate search results. One main reason is that image clustering and retrieval approaches usually stick either solely to the images' low-level features or their user-generated tags (high-level features). However, this is frequently inappropriate since the "real" semantics of an image can only
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47

Zhang, Wei, Jia-yu Zhuang, Xi Yong, Jian-kou Li, Wei Chen, and Zhe-min Li. "Personalized topic modeling for recommending user-generated content." Frontiers of Information Technology & Electronic Engineering 18, no. 5 (2017): 708–18. http://dx.doi.org/10.1631/fitee.1500402.

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48

Alsheref, Fahad. "Medical Information Extraction Model for User-generated Content." Acta Informatica Medica 27, no. 3 (2019): 192. http://dx.doi.org/10.5455/aim.2019.27.192-198.

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49

Donskikh, A. G. "USER-GENERATED CONTENT AS SOURCE OF INFORMATION CONFLICTS." Sign: problematic field in mediaeducation, no. 2 (2021): 63–70. http://dx.doi.org/10.47475/2070-0695-2021-10207.

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50

Qi, Shanshan, and Ning (Chris) Chen. "Understanding Macao’s Destination Image through User-generated Content." Journal of China Tourism Research 15, no. 4 (2019): 503–19. http://dx.doi.org/10.1080/19388160.2019.1577199.

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