Communications in Humanities Research ISSN: 2753-7072
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Research Article

Effect Analysis of Digital Communication of Social Media from the Perspective of New Media

Xinyan ChenThe University of Melbourne*

* Corresponding author: [email protected]

Abstract

At a time when everyone is using social media, new media gives people a new form of communication, digital communication. In the present digital communication, it has completely different characteristics from traditional media and changes people’s lives imperceptibly. People are no longer focused on the content of newspapers or magazines but more focused on global and personal content. Media is no longer something only professionals can use. Everyone can become a celebrity on the Internet. This essay analyzes the characteristics of digital communication brought by new media and what impression and harm it brings to creators, users, and advertisers, respectively. According to the research findings, social media has the characteristics of diversity, real-time, globalization and personalization. It gives creators a wider range of creative space, makes it easier for advertisers to find their target audience, and allows users to improve their Internet experience. While providing internet convenience, there are also risk of network security.

Keywords: new media; social media; advertiser; digital communication
Published: October 31, 2023
DOI: 10.54254/2753-7064/10/20231242
Volume: CHR Vol.10
pp. 61-66
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References

  1. Shumaker, R. (2021, March 9). Instagram vs Facebook: The Main Differences You Need to Know HearstBayArea. https://marketing.sfgate.com/blog/the-main-differences-between-facebook-and-instagram-you-need-to-know.
  2. Gerhards, C. (2019). Product placement on YouTube: An explorative study on YouTube creators’ experiences with advertisers. Convergence, 25(3), 516-533.
  3. Lee, H., & Cho, C. H. (2020). Digital advertising: present and future prospects. International Journal of Advertising, 39(3), 332-341.
  4. Winter, S., Maslowska, E., & Vos, A. L. (2021). The effects of trait-based personalization in social media advertising. Computers in Human Behavior, 114, 106525.
  5. Schlosser, A. E. (2020). Self-disclosure versus self-presentation on social media. Current opinion in psychology, 31, 1-6.
  6. Pleger, L. E., Guirguis, K., & Mertes, A. (2021). Making public concerns tangible: An empirical study of German and UK citizens’ perception of data protection and data security. Computers in Human Behavior, 122, 106830.
  7. Barth, S., Ionita, D., & Hartel, P. (2022). Understanding Online Privacy—A Systematic Review of Privacy Visualizations and Privacy by Design Guidelines. ACM Computing Surveys (CSUR), 55(3), 1-37.
  8. Weismueller, J., Harrigan, P., Wang, S., & Soutar, G. N. (2020). Influencer endorsements: How advertising disclosure and source credibility affect consumer purchase intention on social media. Australasian marketing journal, 28(4), 160-170.
  9. Bruns, A. (2019, July). It’s not the technology, stupid: How the ‘Echo Chamber’and’ Filter Bubble’metaphors have failed us. In International Association for Media and Communication Research Conference (unpublished).
  10. Seargeant, P., & Tagg, C. (2019). Social media and the future of open debate: A user-oriented approach to Facebook’s filter bubble conundrum. Discourse, Context & Media, 27, 41-48.