This systematic review explores the field of social media focusing on the theories, methods, and trends that form our knowledge of the way humans use digital platforms. This paper hints that the most popular theory used in social media research is Uses and Gratifications. It is also observed that the most dominant methods used are the Content Analysis and Survey method. While quantitative methods were heavily used, interviews add qualitative depth to the studies. The interdisciplinary nature of social media research stems from the inclusion of theories from psychology, disaster management and defence studies. Lack of theoretical framework in environmental and psychological studies was also observed. Themes like body image, addiction, and political campaigns reflect societal relevance of such academic work. In conclusion, this systematic review of 30 papers portrays the dynamic and adaptable nature of social media studies as it seeks to resolve the complexities of our virtual world.
Digital Discourse: An Interdisciplinary Analysis of Social Media Trends and Theories
121 Views
183 Downloads
Published 2024-06-30
Pages 29-42
Abstract
Keywords
Social media
Digital media research
Research Trends
SLR
Systematic Literature Review
References
- Al-Zaman, Md. S. (2023). A computer-assisted textual analysis of 10,191 rape news headlines shared on social media. Social Sciences & Humanities Open, 7(1), 100437.
- https://doi.org/10.1016/j.ssaho.2023.100437
- Balaji, M. S., Behl, A., Jain, K., Baabdullah, A. M., Giannakis, M., Shankar, A., & Dwivedi, Y. K. (2023). Effectiveness of B2B social media marketing: The effect of message source and message content on social media engagement. Industrial Marketing Management, 113, 243–257.
- https://doi.org/10.1016/j.indmarman.2023.06.011
- Chan, R. C. H. (2023). Benefits and risks of LGBT social media use for sexual and gender minority individuals. Computers in Human Behavior, 139, 107531.
- https://doi.org/10.1016/j.chb.2022.107531
- Chon, M.-G., & Kim, S. (2022). Dealing with the COVID-19 crisis: Theoretical application of social media analytics in government crisis management. Public Relations Review, 48(3), 102201.
- https://doi.org/10.1016/j.pubrev.2022.102201
- Dutt, B. (2023). Social media wellbeing: Perceived wellbeing amidst social media use in Norway. Social Sciences & Humanities Open, 7(1), 100436.
- https://doi.org/10.1016/j.ssaho.2023.100436
- Fake news and COVID-19: Modelling the predictors of fake news sharing among social media users. ScienceDirect.
- Figl, K., Kießling, S., & Remus, U. (2023). Do symbol and device matter? Computers in Human Behavior, 144, 107704.
- https://doi.org/10.1016/j.chb.2023.107704
- Fitriani, N., Setiawan, D., Aryani, Y. A., & Arifin, T. (2023). Does social media affect performance in e-commerce business? Journal of Open Innovation, 9(4), 100171.
- https://doi.org/10.1016/j.joitmc.2023.100171
- Social Media Technologies Used for Education: An Empirical Study on TAM Model During the COVID-19 Pandemic. Frontiers
- Government Digital Transformation: Understanding the Role of Government Social Media. ScienceDirect
- How has social media been affecting problem-solving in organizations undergoing Lean Production implementation? ScienceDirect
- Hung, W.-T., & Liou, G.-B. (2023). Effect of social media on outdoor recreation intention. Heliyon, 9(11), e22268.
- https://doi.org/10.1016/j.heliyon.2023.e22268
- Indrawati et al. (2023). eWOM via TikTok and purchase intention. Asia Pacific Management Review, 28(2), 174–184.
- Informational vs Emotional B2B firm-generated content on social media engagement. ScienceDirect
- Jabeen et al. (2023). The dark side of social media platforms. Technological Forecasting and Social Change, 186, 122104.
- Jabeen et al. (2023). Social media-induced FOMO and fatigue. Journal of Business Research, 159, 113693.
- Jiayin Qi et al. (2018). Theories of Social Media: Philosophical Foundations. Engineering, 4(1), 94–102.
- Kivunja, C. (2018). Distinguishing between Theory, Theoretical Framework, and Conceptual Framework. International Journal of Higher Education, 7(6), 44–53.
- Koh et al. (2023). Social media engagement in the maritime industry during the pandemic. Technological Forecasting and Social Change, 192, 122553.
- Kohout et al. (2023). Eye tracking study on emotional social media comments. Computers in Human Behavior, 139, 107495.
- Obisesan, O. F. (2022). Social Media and Youth Participation in Nigeria Election. Africa Development, 47(2), 107–146.
- Reimer, T. (2023). Environmental factors to maximize social media engagement. Journal of Retailing and Consumer Services, 75, 103458.
- Rosen et al. (2022). Social Media as Social Support during COVID-19. IJERPH, 19(7), 3952.
- Saffanah et al. (2023). Instagram Live Shopping and IT affordance. Asia Pacific Management Review, 28(2), 204–214.
- Tan et al. (2023). Technological conflicts and social media discontinuance. Acta Psychologica, 238, 103965.
- Social media use and job performance in Kenya universities. ScienceDirect
- Understanding role of social media in COVID-19 rumors (SOR perspective). ScienceDirect
- van Oosten et al. (2023). Predicting use of visually oriented social media. Computers in Human Behavior
- Wahab et al. (2022). Social media celebrities and purchasing behavior. Journal of Retailing and Consumer Services, 68, 103076.
- Wibowo et al. (2023). Digital entrepreneurship education and social media. Social Sciences & Humanities Open, 8(1), 100681.
- Ying-ho Kwong (2023). Social media framing during COVID-19 in Hong Kong. Project MUSE
✓ Citation copied to clipboard
