AI-Driven Content Consumption: The Impact of Binge-Watching on Traditional Television Viewing in Malaysia

Fahri Ahmed, Hasrina Mustafa

Abstract


The binge-watching method of consuming entertainment content is significantly altering the dynamics of television viewership, especially in the age of Artificial Intelligence (AI), where content recommendations are more personalised. This research aims to study the effects of binge-watching motives on traditional television viewing in Malaysia. By understanding the extent of binge-watching, the motivations behind it, and its impact on conventional television viewing, this study provides insights for television broadcasters, advertisers, and content creators. The research identifies six primary motivations for binge-watching: social influence, enjoyment, escapism, stress relief, freedom of watching, and accessibility. The time spent binge-watching is analysed to determine its negative impact on traditional television viewing. This quantitative research involved collecting data from 226 respondents through convenience sampling. The data was analysed using the Statistical Programme for Social Sciences (SPSS), employing multiple regression and linear regression analyses to derive results. The multiple regression results showed that escapism and accessibility have a significant positive relationship with the time spent binge-watching. In contrast, social influence and freedom of watching have a significant negative relationship with the time spent binge-watching. The linear regression results indicated a moderately strong negative relationship between the time spent binge-watching and the time spent on traditional television viewing in Malaysia. Hence, it is recommended that television broadcasters prepare for this changed dynamic of binge-watching as it would impact television viewership negatively. Businesses, advertisers and content creators must also adapt to binge-watching to promote their brands effectively.

 

Keywords: Binge-watching, motivation of binge-watching, television viewership, AI, content consumption.

 

https://doi.org/10.17576/JKMJC-2025-4101-14


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Alan, R., Hassan, M. S., Bolong, J., & Shafinah, K. (2021). Descriptive analysis: Television uses among community in rural area, Sarawak. International Journal of Academic Research in Business and Social Sciences, 11(11), 1258-1272. https://doi.org/pds5

Alzubi, A. (2023). The evolving relationship between digital and conventional media: A study of media consumption habits in the digital era. The Progress: A Journal of Multidisciplinary Studies, 4(3), 1–15. https://doi.org/10.71016/tp/jjexez32

Anghelcev, G., Sar, S., Martin, J. D., & Moultrie, J. L. (2020). Binge-watching serial video content: Exploring the subjective phenomenology of the binge-watching experience. Mass Communication and Society, 24(1), 130-154. https://doi.org/hf6m

Arslan, M., & Ghazal, A. (2024). Assessing the role of AI in generating content for digital brand communications: The case of a midjourney-generated campaign. Open Access Library Journal, 11, 1-14. https://doi.org/10.4236/oalib.1112426

Bastos, M., Naranjo-Zolotov, M., & Aparício, M. (2024). Binge-watching uncovered: Examining the interplay of perceived usefulness, habit, and regret in continuous viewing. Heliyon, 10(6), e27848. https://doi.org/10.1016/j.heliyon.2024.e27848

Bhardwaj, P. (2019). Types of sampling in research. Journal of the Practice of Cardiovascular Sciences, 5(3), 157. https://doi.org/10.4103/jpcs.jpcs_62_19

Bindah, E. V. (2019). Social globalization and consumer life satisfaction: An empirical study in Malaysia. In N. Faghih (Ed.), Globalization and development (pp. 387–409). Springer. https://doi.org/10.1007/978-3-030-14370-1_17

CacaFly Malaysia. (2024, March 19). Malaysia’s latest digital Trends: 9 key highlights unveiled. https://cacaflymalaysia.com/en/archives/15309

Castro Marino, D., Rigby, J. M., Cabral, D., & Nisi, V. (2019). The binge-watcher’s journey: Investigating motivations, contexts, and affective states surrounding Netflix viewing. Convergence: The International Journal of Research into New Media Technologies, 26(5–6), 1116–1134. https://doi.org/10.1177/1354856519890856

Chen, S. (2024). Research on the technology-driven path to streaming giant based on the case analysis of Netflix. Highlights in Business Economics and Management, 41, 122-128. https://doi.org/10.54097/g1a5k216

Conlin, L., Billings, A. C., & Averset, L. (2016). Time-shifting vs. appointment viewing: The role of fear of missing out within TV consumption behaviors. Comunicacion y Sociedad, 29(4), 151–164. https://doi.org/10.15581/003.29.4.151-164

Department of Statistics Malaysia. (2024, July 31). Current population estimates, Malaysia, 2024. https://www.dosm.gov.my/portal-main/release-content/current-population-estimates-2024

Di Leo, G., & Sardanelli, F. (2020). Statistical significance: p value, 0.05 threshold, and applications to radiomics—Reasons for a conservative approach. European Radiology Experimental, 4(18). https://doi.org/10.1186/s41747-020-0145-y

Drushya, R., Naik, R. S., & Devaki, C. S. (2022). Effects of binge watching on psychological and behavioral changes on various age groups. Medical Journal of Clinical Trials & Case Studies, 6(2). https://doi.org/10.23880/mjccs-16000313

Ercegovac, I., & Ercegovac, A. (2023). Exploring binge-watching, agenda setting, and the transformation of video consumption: A comprehensive literature review. Drustveni Horizonti, 3(6), 49-67. https://doi.org/10.5937/drushor2306049E

Flayelle, M., Maurage, P., Di Lorenzo, K. R., Vögele, C., Gainsbury, S. M., & Billieux, J. (2020). Binge-watching: What do we know so far? A first systematic review of the evidence. Current Addiction Reports, 7(1), 44–60. https://doi.org/gmzdj3

Gomez-Uribe, C. A., & Hunt, N. (2015). The Netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems (TMIS), 6(4), 1-19. https://doi.org/10.1145/2843948

Hairi, E. H. (2024). The rise of artificial intelligence (AI) in Malaysia's media industry: Opportunities and challenges. SSRN. https://dx.doi.org/10.2139/ssrn.5075392

Howe, S. (2024, May 3). Social media statistics for Malaysia [Updated 2024]. We Are Social; Meltwater. https://www.meltwater.com/en/blog/social-media-statistics-malaysia

Jumrah, M. H., Ooi, K. Q., & Zaharin, M. S. Z. (2023). The intention of escapism on binge-watching among Penangites. Journal of Creative Industry and Sustainable Culture, 2(1), 1–21. https://doi.org/10.32890/jcisc2023.2.1

Kalra, N., Deshwal, P., Gokarn, S., & Kushwah, S. (2024). Antecedents and outcomes of customer over-the-top experience: A systematic literature review. IIMT Journal of Management, 1(1), 47-87. https://doi.org/10.1108/IIMTJM-10-2023-0043

Kuyucu, M. (2020). Television and advertising: The history of TV advertising from an industrial look. Social Mentality and Research, 6(29), 258-269. https://doi.org/10.31576/smryj.450

Lades, L. K., Barbet, L., Daly, M., & Dombrowski, S. U. (2022). Self-control, goal interference, and the binge-watching experience: An event reconstruction study. Computers in Human Behavior Reports, 7, 100220. https://doi.org/10.1016/j.chbr.2022.100220

Mahmoud, A. T., & Wahab, J. A. (2021). Streaming television: Binge-watching behaviour and its implications on university students. SEARCH Journal of Media and Communication Research, 13(3), 95–110. https://bit.ly/3R7Ovqb

Marketing Magazine Malaysia. (2024, July 15). Malaysia’s SVoD penetration set to soar by 2028. https://marketingmagazine.com.my/malaysias-svod-penetration-set-to-soar-by-2028/

Modili, C., Abd Karim, H., & Abd Wahab, J. (2022). Television consumption patterns among Malaysian youth: A systematic literature review. Jurnal Komunikasi Borneo (JKoB), 10(June), 1–15. https://bit.ly/41M4NtL

Pilipets, E. (2019). From Netflix streaming to Netflix and chill: The (dis)connected body of serial binge-viewer. Social Media + Society, 5(4). https://doi.org/gndjqs

Prihantoro, E. (2024). Generation Z’s binge-watching lifestyle in using Over-The-Top (OTT) media services in Indonesia. Jurnal Komunikasi: Malaysian Journal of Communication, 40(2), 247–261. https://bit.ly/3DPEESQ

Raj, D. (2023, Sept 9). AI-driven personalisation: How Netflix, Amazon, and Spotify know what you want. Medium. https://medium.com/@deepak_raj/ai-driven-personalisation-how-netflix-amazon-and-spotify-know-what-you-want-b9eb18e7f21b

Ramayani, S., Estella, A. L. M., & Abu Bakar, I. A. (2018). The effects of binge-watching on interpersonal communication among Department of Communication and Liberal Arts (DCLA) students. Idealogy, 3(3), 127–143. https://bit.ly/4bVrz79

Razali, M. (2022). Uncovering the elements, viewer’s perception, and factors of violent content in Netflix’s You drama series. Jurnal Komunikasi: Malaysian Journal of Communication, 38(2), 231–250. https://doi.org/10.17576/JKMJC-2022-3802-14

Rubenking, B., & Bracken, C. C. (2021). Binge watching and serial viewing: Comparing new media viewing habits in 2015 and 2020. Addictive Behaviors Reports, 14, 100356. https://doi.org/10.1016/j.abrep.2021.100356

Sigre-Leirós, V., Billieux, J., Mohr, C., & Flayelle, M. (2022). Binge-watching in times of COVID-19: A longitudinal examination of changes in affect and TV series consumption patterns during lockdown. Psychology of Popular Media, 12(2), 173–185. https://doi.org/pds7

Starosta, J., Izydorczyk, B., & Lizińczyk, S. (2019). Characteristics of people’s binge-watching behavior in the “entering into early adulthood” period of life. Health Psychology Report, 7(2), 149–164. https://doi.org/10.5114/hpr.2019.83025

Statista. (2024a). TV & video - Malaysia: Market insights & forecasts.

https://www.statista.com/outlook/amo/media/tv-video/malaysia

Statista. (2024b). Number of pay-TV subscriptions in Malaysia from 2014 to 2023. https://www.statista.com/statistics/1051548/malaysia-number-of-pay-tv-subscriptions/

Steiner, E., & Xu, K. (2018). Binge-watching motivates change: Uses and gratifications of streaming video viewers challenge traditional TV research. Convergence: The International Journal of Research into New Media Technologies, 26(1), 82-101. http://dx.doi.org/10.1177/1354856517750365

Steins-Loeber, S., Reiter, T., Averbeck, H., Harbarth, L., & Brand, M. (2020). Binge-watching behaviour: The role of impulsivity and depressive symptoms. European Addiction Research, 26(3), 141-150. https://doi.org/10.1159/000506307

Sung, Y. H., Kang, E. Y., & Lee, W.-N. (2018). Why do we indulge? Exploring motivations for binge-watching. Journal of Broadcasting & Electronic Media, 62(3), 408–426. https://doi.org/10.1080/08838151.2018.1451851

Suwarto, D. H., Setiawan, B., & Adikara, G. J. (2021). The fragmentation of Indonesian film audience. Jurnal Komunikasi: Malaysian Journal of Communication, 37(1), 74–87. https://doi.org/10.17576/JKMJC-2021-3701-05

Tan, W. (2020, March 26). TV ad revenue drops by 18% for Astro, subscription declines by 9%. Marketing Interactive. https://www.marketing-interactive.com/tv-ad-revenue-drops-by-18-for-astro,-subscription-declines-by-9

Tolba, A. A., & Zoghaib, S. Z. (2022). Understanding the binge-watching phenomenon on Netflix and its association with depression and loneliness in Egyptian adults. Media Watch, 13(3), 264-279. https://doi.org/10.1177/09760911221117339

Xu, Q., & Yan, R.-N. (2011). Feeling connected via television viewing: Exploring the scale and its correlates. Communication Studies, 62(2), 186–206. https://doi.org/b8dscj


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