From Virality to Engagement: Examining the Transformative Impact of Social Media, Short Video Platforms, and Live Streaming on Information Dissemination and Audience Behavior in the Digital Age

Research Article
Open access

From Virality to Engagement: Examining the Transformative Impact of Social Media, Short Video Platforms, and Live Streaming on Information Dissemination and Audience Behavior in the Digital Age

Huaijin Yin 1*
  • 1 Universiti Malaya    
  • *corresponding author rara481846778@gmail.com
Published on 12 December 2024 | https://doi.org/10.54254/2753-7102/2024.18644
ASBR Vol.14
ISSN (Print): 2753-7110
ISSN (Online): 2753-7102

Abstract

The digital world has changed the way we share and consume information through the adoption of social media, short-form video and live streaming. These tools changed how virality works, how audiences act and how content gets created. This article takes a closer look at the dynamics of virality, and how algorithms and crowdsourcing facilitate quick sharing of information while driving the development of misinformation and echo chambers. Likewise, it explores how users interact with content rather than consume it, and explores engagement metrics, gamification and interactivity. The paper also explores how content is personalized, storyboarded, and made in the creator economy, and how creators must strike a fine line between authenticity and algorithmic needs. In looking at them, this paper gives a general outline of the dramatic changes digital technologies will bring to communication and culture, and what ethical questions they raise. Future research should explore trends such as decentralized platforms and AI in content strategies.

Keywords:

Social media, short video platforms, live streaming, audience engagement, digital communication

Yin,H. (2024). From Virality to Engagement: Examining the Transformative Impact of Social Media, Short Video Platforms, and Live Streaming on Information Dissemination and Audience Behavior in the Digital Age. Advances in Social Behavior Research,14,10-14.
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1. Introduction

With the rise of social media, short video, and live streaming, the digital communication world has changed completely. Audiences are no longer just passive recipients of content; instead, they’re creators, readers, and even creators. It is this participation culture that has been accelerated by the laws of virality: algorithms and human-made content drive the instantaneous spread of knowledge. Memes, challenges and social movements on a larger scale not only entertain, they alter norms and practices, from raising awareness of social causes to shaping consumers’ tastes. But those platforms are not without their problems. The same algorithms that generate enticing posts also propagate fake news and echo chambers. This mental cost to designers and users, manifested as burnout, social anxiety and information fatigue, questions the morality of digital platform design. Meanwhile, content creators are increasingly compelled to create for the money, at the expense of aesthetic value. This paper will explore how these digital technologies are transforming communication by looking at three dimensions: how virality works, how audiences change and how content gets created [1]. By considering these features, the research illuminates both the potential and perils of the digital era, and ultimately suggests a more sustainable and ethical approach to digital participation.

2. The Rise of Virality in the Digital Age

2.1. The Mechanics of Virality

Online success rests on virality powered by elaborate algorithms that ensure visibility and user engagement. Facebook, TikTok and Instagram use predictive analytics to determine whether a post is likely to be seen, and encourage posts that have a good chance of getting likes, shares and comments. User-generated content is the central ingredient, as memes, contests and hot hashtags drive mass distribution. This psychology – whether it’s humour, relatability, shock value or emotional intensity – encourages users to share and engage, building a self-feeding feedback cycle. Competitions, for example, such as the "Mannequin Challenge" became popular because they had a participation component, which allowed users to model and share their creations [2]. By examining these mechanisms, it becomes clear that virality is not accidental but carefully engineered by both platform design and user behavior.

2.2. Viral Content and Social Trends

Viral media can alter social norms and shift cultural forces, often moving beyond online arenas into the realm of human behaviour. Black Lives Matter, for instance, went viral and became a global phenomenon via its hashtags and viral posts, launching conversations about racial justice and triggering the millions of protests that engulfed the world. These viral efforts illustrate how the internet amplifies social causes and makes them world-wide movements. Meanwhile, virality is usually short lived: quick-fire phenomena such as the "Harlem Shake" may last only a moment, before the next viral sensation emerges [3]. These tendencies are fun but undermine the long-term viability of serious discussions and threaten to drown out serious issues. In addition, viral content can affect consumers and social networks and determine fashion, tech, and entertainment tastes and fashion trends. This simultaneous entertaining and transformative capacity demonstrates the potential of virality to reconfigure cultural spaces in real time.

2.3. Challenges of Viral Information

Despite virality’s impetus to engagement and connection, it also comes with its problems, particularly the spreading of disinformation and echo chambers. Phishing stories, misleading headlines and doctored videos spread faster than anyone is able to verify or retract them. For example, at the beginning of the COVID-19 pandemic, viral misinformation about unknown cures and conspiracy theories only amplified confusion and distrust. These types of posts are generally amplified by algorithms because viral and racy posts get the most interactions, further embedding users into ideologically cohesive cliques or echo chambers. This both misrepresents public opinion and divides societies. For the platforms, the balance between maintaining free speech and using content moderation is very important. Moreover, the psychological effect of virality on creators and viewers can’t be ignored. Content producers could be harassed or burnt out, and viewers could be in information fatigue or emotionally distressed by the content they consume, either by reading polarizing or harmful material [4]. These difficulties show how platforms must become ethical, and come up with strategies to mitigate the impact of virality in a digital age.

3. Transforming Audience Behavior

3.1. Engagement Metrics and Analytics

Social media platforms heavily leverage engagement measures (likes, shares, comments, and watch time) to measure viewership and content quality. These insights underpin platform algorithms that determine what posts are promoted and what disappear. For content creators, these metrics can act as invaluable feedback, allowing them to tweak their strategies and tailor them to the audience. But overemphasizing metrics results in sterile engagement where content is built to get clicks instead of delivering value. As an example, when a recent survey (Table 1) of 500 content producers discovered that 78% of them modified their posting practices to suit algorithmic goals, only 32% created meaningful or educating content. These statistics illustrate the conflict between promoting presence and preserving quality in the digital world [5].

Table 1. Content Priorities Among Social Media Creators

Priority Focus

Percentage of Creators (%)

Algorithm Optimization

78

Audience Interaction

56

Meaningful/Educational Content

32

Metrics may be conducive to meaningful interactions — prompting creators to talk to their viewers — but they can also foster a sense of validation and competition. For example, constantly trying to score likes and shares can become a way to repackage content and cause writers to have a mental breakdown, so you’ll want to get the analytics right.

3.2. The Shift from Passive to Active Audiences

People are no longer passive consumers of content, they are now participants in the digital world. Comments, polls, and interactive Q&A give readers direct control over the content trajectory. This dynamic is illustrated by social media platforms such as Twitch, where user engagement drives the decision to finish a live stream. This transition creates a more participatory culture that improves user engagement and fosters a closer relationship between creators and users. A case study looking at audience interaction on Twitch revealed that streams with the most interactivity (i.e., live polls or shout-outs) recorded 45% more average watchtime than those without this interactivity (Figure 1) [6]. These statistics also highlight the role of interactivity in grabbing your audience’s attention and increasing engagement.

/word/media/image1.png Figure 1: Impact of Interactivity on Average Watch Time

Active participation turns audiences into content co-creators, and reshapes the traditional content producers/consumers relationship. But it’s not an entirely easy model, as a participatory approach means dealing with expectations and controlling inappropriate behaviour on-camera.

3.3. Gamification and Interaction Features

Gamification is one of the emerging means of increasing user engagement on digital platforms. badges, rewards, leaderboards and challenges appeal to human psychology, using the dopaminergic rewards mechanism to maintain user engagement. For instance, hashtag challenges on TikTok motivate users to make and publish content under a common theme, which fosters a sense of community and competition. Research has shown that games add an extra layer of retention. One research project involving 1,000 TikTok users found that challenges made challengers 62% more likely to log on to the platform every day than non-challengers (Table 2). These functions provide a feedback loop to not only support platform usage, but also foster a sense of belonging among users [7].

Table 2. Impact of Gamification on Daily User Retention

User Activity

Retention Rate (%)

Participated in Challenges

62

Did Not Participate

38

Gamification boosts engagement, but its long-term impact is questionable. Too much emphasis on rewards could promote addiction, especially among young users. Plus, the pressure to compete and participate can engender social anxiety and other mental health problems [8]. Platforms need to weigh up the value of gamification with the obligation to protect users and make sure these features are being brought into use ethically.

4. Content Creation and Strategies for Engagement

4.1. Personalization and Niche Content

Personalized messaging is a new approach for reaching and retaining audience attention in an age of information overload. High-performance algorithms parse the habits, preferences and interactions of users to suggest relevant content. The hyper-personalization infuses a feeling of belonging and relevancy, leading users to want to stick around and come back. Spotify’s "Discover Weekly" playlist or Netflix’s "Recommended for You" section, for example, illustrates the way recommendations make users happy and stick with the platform. Niche creators tap into this pattern by creating content for niche communities. For instance, fitness gurus, gamers or environmentally conscious consumers seek out content that resonates with them. A survey of 300 digital marketers (Table 3) revealed that 72 percent of the respondents found that niche-related strategies led to an increase in engagement rates, and that targeted content outperformed generic content by an average of 35%. But it’s not always an easy path, as creators must juggle authenticity with having to satisfy algorithmic expectations, and these can focus more on hot-button subjects than niche ones [9].

Table 3. Impact of Personalization on Engagement Metrics

Content Strategy

Engagement Increase (%)

Generalized Content

18

Personalized Content

35

Niche-Focused Content

42

Personalisation emphasises its transformative promise while posing concerns about its effects on creativity and user choice in an algorithm-driven economy.

4.2. Storytelling in Short Videos and Live Streams

Storytelling is an age old, universal art form, and it still thrives in the age of short videos and live streaming. YouTube Shorts, Instagram Reels and TikTok have adapted short-form narratives, forcing producers to tell their story in as little as 15–60 seconds. This limit promotes innovation, and producers exploit hooks, cliffhangers and emotionally charged scenes to captivate the audience in an instant. Live streaming, however, emphasises authenticity and immediate interaction. Creators sometimes livestream their unfiltered stories, hear what the audience has to say or get an inside look, making them more emotionally accessible. For instance, a survey of viewer behaviour on live-streaming services revealed that the average retention rate of streams that featured interactive storytelling was 28% higher than those featuring only static content. It demonstrates how storytelling can increase brand affinity and platform adoption [10]. In the mashup of storytelling and technology, producers can overcome the stifling constraints of short attention spans to provide emotionally appealing, digitally-inflected content.

4.3. Monetization and Creator Economy

Monetisation has emerged as the foundation of the creator economy: it dictates how content is created, consumed and disseminated. Sponsorships, subscriptions, crowdfunding, and merchandise sales encourage creators to prioritize content that drives interest. But financial sustainability inevitably forces designers to play along with platform algorithmic constraints, creating the opportunity for formulaic or clickbait content. For example, in a survey of 500 digital creators, 65% of respondents adapted their content strategies to attain monetization objectives, while 48% found this strategy sometimes contradicted their artistic vision (Table 4) [11]. Whether through YouTube’s Partner Program or Twitch’s subscription models, the economic possibilities of these channels demonstrate that digital making has taken on an increasingly professional form. These possibilities have their limits, though, and artists are left to tread the thin line between artistic authenticity and commercial necessity.

Table 4. Monetization Influences on Creator Strategies

Strategy Adjustments

Percentage of Creators (%)

Adjusted Content for Algorithms

65

Balanced Monetization and Creativity

52

Prioritized Artistic Freedom

35

To appreciate this relationship reveals the complicated interplay required to thrive in the creator economy, where the demands of profit come up against the principles of artistic expression [12]. Creating transparent relationships and expanding revenue streams allow creators to be sustainable without being obfuscated.

5. Conclusion

Social media, short video formats, and live streaming have fundamentally altered the nature of information sharing and consumption. This article has exposed how the dynamics of virality, audience aggregation, and content production has altered the digital communication. Platforms have provided unprecedented levels of participation and engagement with users and also a new culture of expression and socialisation. But there are also big hurdles – misinformation, the psychedelic effects of constant interaction, the conflict between profit and creative authenticity. In order to navigate these waters, platforms need to establish moral frameworks that consider user happiness and the quality of content more than engagement metrics. Research should also look at new technology, like artificial intelligence and decentralized content models to resolve these problems. If digital platforms maintain this balance between creativity and responsibility, they can maintain their status as transforming tools of communication and culture.


References

[1]. Khanom, M. T. (2023). Using social media marketing in the digital era: A necessity or a choice. International Journal of Research in Business and Social Science (2147 - 4478), 12(3), 88 - 98.

[2]. Bartolome, A., & Niu, S. (2023). A Literature Review of Video-Sharing Platform Research in HCI. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.

[3]. Lee, J., & Abidin, C. (2023). Introduction to the special issue of “TikTok and social movements”. Social Media + Society, 9(1), 20563051231157452.

[4]. Ausat, A. B. M. A. (2023). The role of social media in shaping public opinion and its influence on economic decisions. Technology and Society Perspectives (TACIT), 1(1), 35 - 44.

[5]. Rahmawati, A., Syafei, M., & Prasetiyanto, M. A. (2023). Improving speaking skills through TikTok application: an endeavour of utilizing social media in higher education. Journal of Languages and Language Teaching, 11(1), 137 - 143.

[6]. Oshodi, A. N. (2024). Enhancing online safety: The impact of social media violent content and violence among teens in Illinois. World Journal of Advanced Research and Reviews, 23(03), 826 - 833.

[7]. Nguyen, H., & Diederich, M. (2023). Facilitating knowledge construction in informal learning: A study of TikTok scientific, educational videos. Computers & Education, 205, 104896.

[8]. Bakombo, S., Ewalefo, P., & Konkle, A. T. M. (2023). The influence of social media on the perception of autism spectrum disorders: Content analysis of public discourse on YouTube videos. International journal of environmental research and public health, 20(4), 3246.

[9]. Fitria, T. N. (2023). Using TikTok application as an English teaching media: A literature review. Journal of English Teaching, Applied Linguistics and Literatures (JETALL), 6(2), 109 - 124.

[10]. Wang, S., et al. (2023). Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration. Journal of the Knowledge Economy, 1 - 32.

[11]. Kedi, W. E., et al. (2024). Machine learning software for optimizing SME social media marketing campaigns. Computer Science & IT Research Journal, 5(7), 1634 - 1647.

[12]. O’Donnell, N., Jerin, S. I., & Mu, D. (2023). Using TikTok to educate, influence, or inspire? A content analysis of health-related EduTok videos. Journal of Health Communication, 28(8), 539 - 551.


Cite this article

Yin,H. (2024). From Virality to Engagement: Examining the Transformative Impact of Social Media, Short Video Platforms, and Live Streaming on Information Dissemination and Audience Behavior in the Digital Age. Advances in Social Behavior Research,14,10-14.

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Journal:Advances in Social Behavior Research

Volume number: Vol.14
ISSN:2753-7102(Print) / 2753-7110(Online)

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References

[1]. Khanom, M. T. (2023). Using social media marketing in the digital era: A necessity or a choice. International Journal of Research in Business and Social Science (2147 - 4478), 12(3), 88 - 98.

[2]. Bartolome, A., & Niu, S. (2023). A Literature Review of Video-Sharing Platform Research in HCI. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.

[3]. Lee, J., & Abidin, C. (2023). Introduction to the special issue of “TikTok and social movements”. Social Media + Society, 9(1), 20563051231157452.

[4]. Ausat, A. B. M. A. (2023). The role of social media in shaping public opinion and its influence on economic decisions. Technology and Society Perspectives (TACIT), 1(1), 35 - 44.

[5]. Rahmawati, A., Syafei, M., & Prasetiyanto, M. A. (2023). Improving speaking skills through TikTok application: an endeavour of utilizing social media in higher education. Journal of Languages and Language Teaching, 11(1), 137 - 143.

[6]. Oshodi, A. N. (2024). Enhancing online safety: The impact of social media violent content and violence among teens in Illinois. World Journal of Advanced Research and Reviews, 23(03), 826 - 833.

[7]. Nguyen, H., & Diederich, M. (2023). Facilitating knowledge construction in informal learning: A study of TikTok scientific, educational videos. Computers & Education, 205, 104896.

[8]. Bakombo, S., Ewalefo, P., & Konkle, A. T. M. (2023). The influence of social media on the perception of autism spectrum disorders: Content analysis of public discourse on YouTube videos. International journal of environmental research and public health, 20(4), 3246.

[9]. Fitria, T. N. (2023). Using TikTok application as an English teaching media: A literature review. Journal of English Teaching, Applied Linguistics and Literatures (JETALL), 6(2), 109 - 124.

[10]. Wang, S., et al. (2023). Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration. Journal of the Knowledge Economy, 1 - 32.

[11]. Kedi, W. E., et al. (2024). Machine learning software for optimizing SME social media marketing campaigns. Computer Science & IT Research Journal, 5(7), 1634 - 1647.

[12]. O’Donnell, N., Jerin, S. I., & Mu, D. (2023). Using TikTok to educate, influence, or inspire? A content analysis of health-related EduTok videos. Journal of Health Communication, 28(8), 539 - 551.