Abstract
In the age of web 2.0, the concept of “the User Generated Content (UGC)” is put forward. Now millions of images posted on the photo-sharing service such as Instagram. In this paper, we choose the popular photos “follow me to” on Instagram as an example for analysis. By utilizing the comparative analysis of the “follow me to" photos of the photographer and the imitators, we explored the pattern of image propagation on Instagram and the characteristic of the popular images. In this paper, we also established a research method by content analysis and image analysis based on the image itself to study social media.
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Notes
- 1.
Flickr: https://www.flickr.com.
- 2.
Instagram: https://www.instagram.com.
- 3.
Selfiecity: http://selfiecity.net.
- 4.
OpenCV: https://opencv.org.
- 5.
Project Oxford: https://azure.microsoft.com/.
- 6.
Gephi: https://gephi.org.
References
Milner, R.M.: The world made meme: discourse and identity in participatory media. University of Kansas (2012)
Van Dijck, J.: Flickr and the culture of connectivity: sharing views, experiences, memories. Memory Stud. 4(4), 401–415 (2010)
Hochman, N., Manovich, L.: Zooming into an Instagram City: reading the local through social media. First Monday 18(7) 2013
Highfield, T., Leaver, T.: Instagrammatics and digital methods: studying visual social media, from selfies and GIFs to memes and emoji. Commun. Res. Pract. 2(1), 47–62 (2016)
Manovich, L.: Notes on Instagrammism and contemporary cultural identity (2016). manovich.net
Mirzoeff, N.: How to See the World: An Introduction to Images, from Self-Portraits to Selfies, Maps to Movies, and More. Basic Books, New York (2016)
Manikonda, L., Hu, Y., Kambhampati, S.: Analyzing User Activities, Demographics. Social Network Structure and User-Generated Content on Instagram. Physics and Society, Social and Information Networks (2014)
Cox, A., Clough, P.: Developing metrics to characterize Flickr group. J. Am. Soc. Inform. Sci. Technol. 62(3), 493–506 (2011)
MacDowall, L.J.: I’d double tap that!!’: street art, graffti, and Instagram research. Media Cult. Soc. 40, 3–22 (2017)
Tifentale, A.: Art of the masses: from Kodak Brownie to Instagram. Network. Knowl. 8 (2015)
Meindl, J.N., Ivy, J.W.: Mass shootings: the role of the media in promoting generalized imitation. Am. J. Public Health 107(3), 368–370 (2017)
Stefanone, M.A., Lackaff, D., Rosen, D.: The relationship between traditional mass media and “social media”: reality television as a model for social network site behavior. J. Broadcast. Electron. Media 54(3), 508–525 (2010). https://doi.org/10.1080/08838151.2010.498851
Milner, R.M.: Pop polyvocality: internet memes, public participation, and the occupy wall street movement. Int. J. Commun. Syst. 7, 2357–2390 (2013)
Börzsei, L.K.: Makes a meme instead: a concise history of internet memes. New Media Stud. Mag. 7 (2013)
Heylighen, F.: What makes a meme successful? Selection criteria for cultural evolution. In: Proceedings of 15th International Congress on Cybernetics, pp. 418–423 (1998)
Zettl, H.: Sight, Sound, Motion: Applied Media Aesthetics. Cengage Learning (2016)
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Zhong, Y., Zhang, H. (2020). Analysis of Imitating Behavior on Social Media. In: Stephanidis, C., et al. HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media. HCII 2020. Lecture Notes in Computer Science(), vol 12427. Springer, Cham. https://doi.org/10.1007/978-3-030-60152-2_36
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