Understanding Influencer Followership on Social Media: A Case Study of Students at a South African University
Abstract
1. Introduction
2. Literature Review
3. Methodology
3.1. Research Design
3.2. Population and Sample
3.3. Data Collection Tools and Process
3.3.1. Questionnaire Structure
- Demographic Information: Captured gender, faculty, year of study, and patterns of TikTok usage to contextualize followership behavior.
- Influencer Following Patterns: Comprised multiple-choice questions to quantify the number and categories of influencers followed.
- Influencer Identification: Asked students to list their top three most-followed TikTok influencers.
- Motivation Exploration: Included open-ended questions prompting students to explain why they followed each influencer, uncovering the emotional, aspirational, or practical value derived from their content.
3.3.2. Key Data Collection Components
- Select the influencer’s content category (e.g., entertainment, lifestyle, music, education, politics, motivational, or other);
- Provide a short description of the influencer’s typical content;
- Elaborate on their reasons for following the influencer, using open-ended responses to capture nuanced motivations.
3.3.3. Data Collection Process
3.4. Data Analysis
4. Findings
4.1. Quantitative Analysis of Influencer Categories
4.1.1. Overall Distribution of Influencer Preferences
4.1.2. Faculty-Based Analysis
4.1.3. Academic Year Comparison
4.1.4. Gender-Based Analysis
4.2. Qualitative Analysis of Influencer Categories
4.2.1. Entertainment and Comedy Influencers
4.2.2. Music and Dance Influencers
4.2.3. Lifestyle, Travel, and Relationship Influencers
4.2.4. Motivational, Inspirational, and Spiritual Influencers
4.2.5. Educational, Tech, and Fitness Influencers
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Characteristic | Category | Frequency (n) | Percentage (%) |
---|---|---|---|
Gender | Male | 111 | 43.2 |
Female | 146 | 56.8 | |
Faculty | Applied and Health Sciences | 89 | 34.6 |
Management Sciences | 97 | 37.7 | |
Engineering | 71 | 27.6 | |
Academic Year | Second year | 134 | 52.1 |
Third year | 123 | 47.9 | |
Daily TikTok Usage | Less than 1 h | 67 | 26.1 |
1–3 h | 128 | 49.8 | |
More than 3 h | 62 | 24.1 | |
Number of TikTok Influencers Followed | 3–5 influencers | 98 | 38.1 |
6–10 influencers | 87 | 33.9 | |
11–20 influencers | 52 | 20.2 | |
More than 20 influencers | 20 | 7.8 | |
Years Using TikTok | Less than 1 year | 23 | 8.9 |
1–2 years | 89 | 34.6 | |
3–4 years | 97 | 37.7 | |
More than 4 years | 48 | 18.7 |
Influencer Category | Total Mentions * | Percentage of Total Mentions | Students Following (n = 257) | Percentage of Students |
---|---|---|---|---|
Entertainment and Comedy | 285 | 37.0% | 231 | 89.9% |
Music and Dance | 198 | 25.7% | 187 | 72.8% |
Lifestyle, Travel, and Relationship | 156 | 20.2% | 142 | 55.3% |
Motivational, Inspirational, and Spiritual | 89 | 11.5% | 78 | 30.4% |
Educational, Tech, and Fitness | 43 | 5.6% | 39 | 15.2% |
Total | 771 | 100.0% | - | - |
Influencer Category | Applied and Health Sciences (n = 89) | Management Sciences (n = 97) | Engineering (n = 71) | F-Statistic | p-Value |
---|---|---|---|---|---|
Entertainment and Comedy | 81 (91.0%) | 88 (90.7%) | 62 (87.3%) | 0.523 | 0.593 |
Music and Dance | 68 (76.4%) | 73 (75.3%) | 46 (64.8%) | 2.145 | 0.120 |
Lifestyle, Travel, and Relationship | 52 (58.4%) | 59 (60.8%) | 31 (43.7%) | 4.231 * | 0.016 |
Motivational, Inspirational, and Spiritual | 29 (32.6%) | 32 (33.0%) | 17 (23.9%) | 1.523 | 0.221 |
Educational, Tech, and Fitness | 8 (9.0%) | 11 (11.3%) | 20 (28.2%) | 12.456 *** | <0.001 |
Influencer Category | Second Year Students (n = 134) | Third Year Students (n = 123) | Difference | Chi-Square (χ2) | p-Value |
---|---|---|---|---|---|
Entertainment and Comedy | 122 (91.0%) | 109 (88.6%) | −2.4% | 0.423 | 0.515 |
Music and Dance | 94 (70.1%) | 93 (75.6%) | +5.5% | 1.023 | 0.312 |
Lifestyle, Travel, and Relationship | 69 (51.5%) | 73 (59.3%) | +7.8% | 1.567 | 0.211 |
Motivational, Inspirational, and Spiritual | 37 (27.6%) | 41 (33.3%) | +5.7% | 0.987 | 0.321 |
Educational, Tech, and Fitness | 18 (13.4%) | 21 (17.1%) | +3.7% | 0.654 | 0.419 |
Influencer Category | Male Students (n = 111) | Female Students (n = 146) | Difference | Chi-Square (χ2) | p-Value |
---|---|---|---|---|---|
Entertainment and Comedy | 98 (88.3%) | 133 (91.1%) | +2.8% | 0.521 | 0.471 |
Music and Dance | 76 (68.5%) | 111 (76.0%) | +7.5% | 1.842 | 0.175 |
Lifestyle, Travel, and Relationship | 45 (40.5%) | 97 (66.4%) | +25.9% | 17.234 *** | <0.001 |
Motivational, Inspirational, and Spiritual | 38 (34.2%) | 40 (27.4%) | −6.8% | 1.421 | 0.233 |
Educational, Tech, and Fitness | 25 (22.5%) | 14 (9.6%) | −12.9% | 8.954 ** | 0.003 |
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Mlambo, N.; Ncayiyane, M.; Chani, T.; Mutanga, M.B. Understanding Influencer Followership on Social Media: A Case Study of Students at a South African University. Journal. Media 2025, 6, 120. https://doi.org/10.3390/journalmedia6030120
Mlambo N, Ncayiyane M, Chani T, Mutanga MB. Understanding Influencer Followership on Social Media: A Case Study of Students at a South African University. Journalism and Media. 2025; 6(3):120. https://doi.org/10.3390/journalmedia6030120
Chicago/Turabian StyleMlambo, Nkosinathi, Mpendulo Ncayiyane, Tarirai Chani, and Murimo Bethel Mutanga. 2025. "Understanding Influencer Followership on Social Media: A Case Study of Students at a South African University" Journalism and Media 6, no. 3: 120. https://doi.org/10.3390/journalmedia6030120
APA StyleMlambo, N., Ncayiyane, M., Chani, T., & Mutanga, M. B. (2025). Understanding Influencer Followership on Social Media: A Case Study of Students at a South African University. Journalism and Media, 6(3), 120. https://doi.org/10.3390/journalmedia6030120