Interactive Dynamics of Bullet Comments in Agricultural Livestreaming: A Dual-Path Analysis of Conversion Efficiency in Rural China

Authors

DOI:

https://doi.org/10.71204/p848kc56

Keywords:

Live-streaming E-commerce, Conversion Efficiency, Bullet Comments, Rural Revitalization, User Engagement

Abstract

Live-streaming e-commerce is becoming a pivotal tool for promoting agricultural products and supporting rural revitalization in China. This study investigates the determinants of conversion efficiency-measured as Goods per Mille Views (GPM)-through a large-scale analysis of 70,650 agricultural livestream sessions on Douyin. Employing two-way fixed-effects panel regression and Bootstrap-based structural equation modeling (SEM), we examine how Retention Rate, Sales Amount, and Sales per Minute influence GPM. A key contribution of this study is the identification of a dual-path moderating effect of bullet comments (BulletCount), which can simultaneously enhance and hinder conversion depending on the context of viewer engagement. SEM results further uncover four significant mediation mechanisms-via Traffic Ratio, Retention Rate, Sales Amount, and Sales per Minute-through which bullet comments affect GPM. These findings offer new insights into the cognitive and social dynamics of interactive livestreaming. The study provides practical implications for platform designers, streamers, and policymakers seeking to improve conversion outcomes and foster sustainable rural e-commerce ecosystems.

References

Cialdini, R. B. (2007). Influence: The psychology of persuasion (Vol. 55, p. 339). Collins.

Colaljo, J. M., Moreno, D. E. L., Dalisay, R., Casas, P. S., & Santos, J. L. D. (2024, August). The role of user-generated content on customers' purchase intent and behavior: A basis for e-commerce content strategy for micro and small enterprises. In 2024 8th International Conference on Business and Information Management (ICBIM) (pp. 59–63). IEEE. DOI: https://doi.org/10.1109/ICBIM63313.2024.10823408

Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629–636. DOI: https://doi.org/10.1037/h0046408

Do, K. M., & Vo, V. T. (2021). The role of social proof, trust, and customer traits towards the consumers’ online impulse buying on live-stream broadcasting platform—The case of Facebook Live in Vietnam. On Management Business, 412.

Guan, X., He, L., & Hu, Z. (2024). Impact of rural e-commerce on farmers’ income and income gap. Agriculture, 14(10), 1689. DOI: https://doi.org/10.3390/agriculture14101689

Guo, J., Li, Y., Xu, Y., & Zeng, K. (2021). How live streaming features impact consumers’ purchase intention in the context of cross-border e-commerce? A research based on SOR theory. Frontiers in Psychology, 12, 767876. DOI: https://doi.org/10.3389/fpsyg.2021.767876

Gusty, R., Wulandari, P., Siregar, I. N. D., Rizqiana, D. S., & Hasibuan, D. K. S. (2025). Interactive marketing communication through live commerce: A pathway to consumer loyalty. International Journal of Economics and Management Research, 4(1), 604–615. DOI: https://doi.org/10.55606/ijemr.v4i1.454

Hochreiter, V., Benedetto, C., & Loesch, M. (2022). The stimulus-organism-response (SOR) paradigm as a guiding principle in environmental psychology: Comparison of its usage in consumer behavior and organizational culture and leadership theory. In Proceedings of the Global Business Conference 2022 (Vol. 42).

Hsiao, J. C. Y., Darling, S., & Dillahunt, T. R. (2023). How recent migrants develop trust through community commerce: The emergence of sociotechnical adaptation. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1–24. DOI: https://doi.org/10.1145/3579611

Huang, W., Wang, X., Zhang, Q., Han, J., & Zhang, R. (2025). Beyond likes and comments: How social proof influences consumer impulse buying on short-form video platforms. Journal of Retailing and Consumer Services, 84, 104199. DOI: https://doi.org/10.1016/j.jretconser.2024.104199

Jawad, A. (2025). Multimodal review annotations and consumer perception: Examining the effects of processing fluency and cognitive overload (Master’s thesis, University of Eastern Finland).

Lang, X., Lin, S., Ma, X., & Li, T. (2025). Can comments and dialogues make sense? The effect of two-way interactions on sales and followers in live streaming commerce. Decision Support Systems, 193, 114451. DOI: https://doi.org/10.1016/j.dss.2025.114451

Luo, M., Hsu, T. W., Park, J. S., & Hancock, J. T. (2020). Emotional amplification during live-streaming: Evidence from comments during and after news events. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW1), 1–19. DOI: https://doi.org/10.1145/3392853

Lv, J., & Liu, X. (2022). The impact of information overload of e-commerce platform on consumer return intention: Considering the moderating role of perceived environmental effectiveness. International Journal of Environmental Research and Public Health, 19(13), 8060. DOI: https://doi.org/10.3390/ijerph19138060

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.

Mutlu-Bayraktar, D., Cosgun, V., & Altan, T. (2019). Cognitive load in multimedia learning environments: A systematic review. Computers & Education, 141, 103618. DOI: https://doi.org/10.1016/j.compedu.2019.103618

Paas, F. G., & Van Merriënboer, J. J. (1994). Instructional control of cognitive load in the training of complex cognitive tasks. Educational Psychology Review, 6(4), 351–371. DOI: https://doi.org/10.1007/BF02213420

Peng, G., Wang, X., Li, J., & Wu, J. (2025). Is it beneficial for consumers to ask more questions in Danmaku? The inverted U-shaped effect of information-seeking Danmaku density on e-commerce livestream sales. Electronic Commerce Research, 1–38. DOI: https://doi.org/10.1007/s10660-025-09959-1

Ramadhoni, M. F., & Prassida, G. F. (2025). The impact of perceived value on engagement, purchase intention, and continuance usage intention: A PLS-SEM study on social commerce live streaming context. Jurnal Sistem Informasi Bisnis, 15(3), 310–320. DOI: https://doi.org/10.14710/vol15iss3pp310-320

Santos, S., Gonçalves, H. M., & Teles, M. (2023). Social media engagement and real‐time marketing: Using net‐effects and set‐theoretic approaches to understand audience and content‐related effects. Psychology & Marketing, 40(3), 497–515. DOI: https://doi.org/10.1002/mar.21756

Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295–312. DOI: https://doi.org/10.1016/0959-4752(94)90003-5

Tian, J., Sun, Y., & Qiu, L. (2024). Live-streaming vs. traditional e-commerce: Unveiling the sales and product return advantages of brand live streaming. [Unpublished manuscript]. DOI: https://doi.org/10.2139/ssrn.5023442

Tong, S., Zhang, Y., Burtch, G., & Lin, Z. (2025). Individual sellers’ social media participation and sales performance in peer-to-peer marketplaces: Evidence from a quasi-natural experiment. Production and Operations Management, 34(6), 1549–1568. DOI: https://doi.org/10.1177/10591478241302768

Tong, Y., Zhang, Z., & Wang, Y. (2025). Making rural elites: Empowerment of Chinese rural “public affairs live streamers” on short video platforms. Journal of Media, 6, 58. DOI: https://doi.org/10.3390/journalmedia6020058

Vogrincic-Haselbacher, C., Krueger, J. I., Lurger, B., Dinslaken, I., Anslinger, J., Caks, F., ... & Athenstaedt, U. (2021). Not too much and not too little: Information processing for a good purchase decision. Frontiers in Psychology, 12, 642641. DOI: https://doi.org/10.3389/fpsyg.2021.642641

Wang, L., & Zhang, X. (2024). Livestream sales prediction based on an interpretable deep-learning model. Scientific Reports, 14, 20594. DOI: https://doi.org/10.1038/s41598-024-71379-2

Wang, Y., & Zhang, Z. (2023). A study on the willingness and factors influencing the digital upgrade of rural e-commerce. Behavioral Sciences, 13(2), 95. DOI: https://doi.org/10.3390/bs13020095

Xu, W., Zhang, X., Chen, R., & Yang, Z. (2023). How do you say it matters? A multimodal analytics framework for product return prediction in live streaming e-commerce. Decision Support Systems, 172, 113984. DOI: https://doi.org/10.1016/j.dss.2023.113984

Zeng, Q., Guo, Q., Zhuang, W., & Zhang, Y., & Fan, W. (2023). Do real-time reviews matter? Examining how bullet screen influences consumers’ purchase intention in live streaming commerce. Information Systems Frontiers, 25, 2051–2067. DOI: https://doi.org/10.1007/s10796-022-10356-4

Zhang, G., Cao, J., & Liu, D. (2023). Examining the influence of information overload on consumers’ purchase in live streaming: A heuristic-systematic model perspective. PLOS ONE, 18, e0284466. DOI: https://doi.org/10.1371/journal.pone.0284466

Zhang, L. (2023). Online streaming e-commerce influence on economy in China. In Economic and Social Development: Book of Proceedings (pp. 92–97).

Zhang, N., & Hu, W. (2024). Do psychological ownership and communicative presence matter? Examining how user-generated content in e-commerce live streaming influences consumers’ purchase intention. Behavioral Sciences, 14, 696. DOI: https://doi.org/10.3390/bs14080696

Zhang, Y., & Fu, S. (2024). Commercial new media advertising recommendation algorithm based on data analysis. Procedia Computer Science, 247, 537–544. DOI: https://doi.org/10.1016/j.procs.2024.10.064

Downloads

Published

2025-09-06

How to Cite

Interactive Dynamics of Bullet Comments in Agricultural Livestreaming: A Dual-Path Analysis of Conversion Efficiency in Rural China. (2025). Accounting, Marketing and Organization, 1(2), 48-73. https://doi.org/10.71204/p848kc56