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Knowledge Sharing and Community Promotion in Online Health Communities: Examining the Relationship Between Social Support, Community Commitment, and Trust Transfer Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

User-Generated Short Video Content in Social Media. A Case Study of TikTok

verfasst von : Aliaksandra Shutsko

Erschienen in: Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing

Verlag: Springer International Publishing

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Abstract

According to Alexa’s ranking of the top 500 sites on the web, YouTube takes the second place, demonstrating the importance of online services focused on sharing of short self-shot videos. With growing popularity of mobile phones, mobile only short video sharing social media applications appeared on the market. One of such applications is TikTok, probably the most talked-of video sharing platform of 2019, similar to its twin service for the Chinese market, called Douyin. The content on YouTube varies greatly in topic: from music and toys to science and technologies, from computer games and cooking to education and politics. But does the content on mobile short video platforms differ that much too? The content of 1,000 videos on TikTok as a prominent representative of mobile short video sharing social media services was analyzed to find out which content is common and popular on TikTok. Content analysis was applied as the main research technique. Comedy videos and musical performances turned out to be the most popular and the most frequent categories among both male and female performers. Comedy videos are, however, especially frequent among male creators. At that, videos related to beauty and DIY are common for females, but not for males. Additional attention in this study was paid to the potential law infringements on the platform. The cases of potential violations of copyright and personal rights were observed. Videos containing inappropriate contents such as violence, sexual activity, or consumption of drugs and alcohol were, by contrast, not revealed.
Vorheriges Kapitel Understanding Moderation in Online Mental Health Communities
Nächstes Kapitel Review of Electronic Word-of-Mouth Based on Bibliometrics
Fußnoten
1
The top 500 sites on the web, www.​alexa.​com/​topsites.
 
Literatur
1.
Scheibe, K., Fietkiewicz, K.J., Stock, W.G.: Information behavior on social live streaming services. J. Inf. Sci. Theory Pract. 4(2), 6–20 (2016)
2.
3.
4.
5.
6.
7.
8.
9.
10.
Zhang, L., Wang, F., Liu, J.: Understand instant video clip sharing on mobile platforms: Twitter’s vine as a case study. In: Proceedings of Network and Operating System Support on Digital Audio and Video Workshop, pp. 85–90. ACM, New York (2014)
11.
12.
13.
14.
15.
16.
Gurbani, V.K., Migliosi, A., State, R., Payette, C., Cilli, B., Engel, T.: A characterization of short-video and distributed hot-spot activity in Instagram. In: Proceedings of the Principles, Systems and Applications on IP Telecommunications, pp. 28–34. ACM, New York (2015)
17.
Hoffmann, C.P., Lutz, C., Meckel, M.: Content creation on the Internet: a social cognitive perspective on the participation divide. Inf. Commun. Soc. 18(6), 696–716 (2015) CrossRef
18.
McRoberts, S., Bonsignore, E., Peyton, T., Yarosh, S.: Do it for the viewers!: audience engagement behaviors of young YouTubers. In: Proceedings of the 15th International Conference on Interaction Design and Children, pp. 334–343. ACM, New York (2016)
19.
Milkaite, I., Lievens, E.: Child-friendly transparency of data processing in the EU: from legal requirements to platform policies. J. Child. Media 14(1), 5–21 (2019) CrossRef
20.
Badillo-Urquiola, K., Smriti, D., McNally, B., Golub, E., Bonsignore, E., Wisniewski, P.J.: Stranger danger!: social media app features co-designed with children to keep them safe online. In: Proceedings of the 18th ACM International Conference on Interaction Design and Children, pp. 394–406. ACM, New York (2019)
21.
Rettberg, J.W.: Hand signs for lip-syncing: the emergence of a gestural language on musical.ly as a video-based equivalent to emoji. Soc. Media+ Soc. 3(4) (2017)
22.
Literat, I., Kligler-Vilenchik, N.: Youth collective political expression on social media: the role of affordances and memetic dimensions for voicing political views. New Media Soc. 21(9), 1988–2009 (2019) CrossRef
23.
Chen, Z., He, Q., Mao, Z., Chung, H., Maharjan, S.: A study on the characteristics of Douyin short videos and implications for edge caching. In: Proceedings of the ACM Turing Celebration Conference – China, pp. 1–6. ACM, New York (2019)
24.
25.
Yarosh, S., Bonsignore, E., McRoberts, S., Peyton, T.: YouthTube: youth video authorship on YouTube and vine. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, pp. 1423–1437. ACM, New York (2016)
26.
Che, X., Ip, B., Lin, L.: A survey of current YouTube video characteristics. IEEE Multimed. 22(2), 56–63 (2015) CrossRef
27.
28.
Friedländer, M.B.: Streamer motives and user-generated content on social live-streaming services. J. Inf. Sci. Theory Pract. 5(1), 65–84 (2017)
29.
van Oosten, J.M., Vandenbosch, L., Peter, J.: Gender roles on social networking sites: investigating reciprocal relationships between Dutch adolescents’ hypermasculinity and hyperfemininity and sexy online self-presentations. J. Child. Media 11(2), 147–166 (2017) CrossRef
30.
García Jiménez, A., Montes Vozmediano, M.: Subject matter of videos for teens on YouTube. Int. J. Adolesc. Youth 24(1), 63–78 (2020) CrossRef
31.
Scheibe, K., Zimmer, F.: Gender differences in perception of gamification elements on social live streaming services. Int. J. Interact. Commun. Syst. Technol. 9(2), 1–15 (2019)
32.
Khan, M.L.: Social media engagement: what motivates user participation and consumption on YouTube? Comput. Hum. Behav. 66, 236–247 (2017) CrossRef
33.
34.
35.
Honka, A., Frommelius, N., Mehlem, A., Tolles, J.N., Fietkiewicz, K.J.: How safe is YouNow? An empirical study on possible law infringements in Germany and the United States. J. MacroTrends Soc. Sci. 1(1), 1–17 (2015)
36.
Livingstone, S., Kirwil, L., Ponte, C., Staksrud, E.: In their own words: What bothers children online? Eur. J. Commun. 29(3), 271–288 (2014) CrossRef
37.
Huguenin, K., Kermarrec, A.M., Kloudas, K., Taïani, F.: Content and geographical locality in user-generated content sharing systems. In: Proceedings of the 22nd International Workshop on Network and Operating System Support for Digital Audio and Video, pp. 77–82. ACM, New York (2012)
38.
Krippendorff, K.: Content Analysis: An Introduction to its Methodology, 2nd edn. Sage, Thousand Oaks (2004)
39.
McMillan, S.J.: The challenge of applying content analysis for the World Wide Web. In: Krippendorff, K., Bock, M.A. (eds.) The Content Analysis Reader, pp. 60–67. Sage, Los Angeles (2009)
40.
Fietkiewicz, K.J., Lins, E., Baran, K.S., Stock, W.S.: Inter-generational comparison of social media use: investigating the online behavior of different generational cohorts. In: Proceedings of the 49th Hawaii International Conference on System Sciences, pp. 3829–3838. IEEE Computer Society, Washington, DC (2016)
41.
Schumann, L., Stock, W.G.: The information service evaluation (ISE) model. Webology 11(1), 1–20 (2014)
Metadaten
Titel
User-Generated Short Video Content in Social Media. A Case Study of TikTok
verfasst von
Aliaksandra Shutsko
Copyright-Jahr
2020
Buch
Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing

Print ISBN: 978-3-030-49575-6

Electronic ISBN: 978-3-030-49576-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-49576-3_8