The Dynamics of Interactive Audience Behavior on Digital News Platforms:

An Analytical Study of Usage Patterns and Motivations for Engagement on Platform (X)

Authors

DOI:

https://doi.org/10.61856/39nn9m60

Keywords:

Audience Dynamics, Digital News Platforms, Platform X, Digital Interaction.

Abstract

This study examines audience engagement on Platform (X) by analyzing the interplay between technical determinants like attention algorithms and users’ psycho-social motivations to understand how users transition from passive recipients into interactive gatekeepers who co-manage the flow of news. Adopting a descriptive-analytical approach, the researchers administered a validated questionnaire to a purposive, non-probability sample of 100 individuals selected based on job titles, utilizing advanced statistical modeling via SPSS including Pearson correlation, simple linear regression, and one-way ANOVA to test the hypotheses. Demographically, the sample exhibited unique characteristics as 76% held postgraduate degrees and 43% were aged 60 or older. The key findings revealed a predominant pattern of silent interaction where users actively consume and follow news daily but prefer lurking or reposting over active commenting, while confirming that content quality and perceived credibility serve as the core behavioral contract driving digital participation with content quality alone explaining 23.3% of the variance in interaction behavior. Conversely, hypotheses relating to platform design and usability were rejected as they did not statistically influence engagement levels, and interactive behavior did not vary significantly by age or news interests although it did differ based on users' digital experience. The study concludes that digital audiences practice conscious selectivity to fulfill cognitive and social gratifications, recommending that news organizations shift from a traditional news industry to an engagement industry by optimizing visual formats and digital editorial strategies tailored to active users.

References

Abdel-Hamid, A. M. M. (2024). Tafaʿul al-jumhūr maʿa muḥtawā al-būdkāst bi-al-manaṣṣāt al-raqamiyyah wa-inʿikāsātuhu ʿalā mustaqbal al-idhāʿah bi-al-minṭaqah al-ʿArabiyyah [Audience interaction with podcast content on digital platforms and its impact on the future of radio in the Arab region]. Dirasat: Human and Social Sciences, 52(2), 158–177. https://doi.org/10.35516/hum.v52i2.6044

Abū al-Khayr, K. Z. (2023). Simāt al-jumhūr al-raqamī wa-ʿalāqatuhā bi-anmāṭ wa-muḥaddidāt tafaʿulihi maʿa muḥtawā al-manaṣṣāt al-ikhbāriyyah [Characteristics of the digital audience and their relationship with patterns and determinants of interaction with news platform content]. Al-Majallah al-ʿArabiyyah li-Buḥūth al-Iʿlām wa-al-Ittiṣāl, (43), 373–431. https://doi.org/10.21608/jkom.2023.338654

Al-Asal, S. M. A. (2025, November 24). Manaṣṣāt al-tawāṣul al-ijtimāʿī ka-quwā nāʿimah fī ʿaṣr al-dhakāʾ al-iṣṭināʿī: Al-taʾthīrāt, al-taḥaddiyāt wa-al-furaṣ [Social media platforms as soft power in the age of artificial intelligence: Impacts, challenges, and opportunities]. International Conferences Journal, (27). Arab Democratic Center. https://www.democraticac.de/?p=107425

Al-Sukkarī, A. ʿA. L. B., & Saʿd, M. (2025). Taʿarruḍ al-jumhūr al-miṣrī lil-manaṣṣāt al-ikhbāriyyah al-raqamiyyah al-mutaʿaddidah wa-ʿalāqatuhu bi-anmāṭ al-sulūk al-ikhbārī: Dirāsah maydāniyyah [The Egyptian audience's exposure to multiple digital news platforms and its relationship with news behavior patterns: A field study]. Al-Majallah al-ʿArabiyyah li-Buḥūth al-Iʿlām wa-al-Ittiṣāl, 49(49), 127–155. https://doi.org/10.21608/jkom.2025.435459

Amponsah, P. N., & Atianashie, A. M. (2024). Navigating the new frontier: A comprehensive review of AI in journalism. Advances in Journalism and Communication, 12(1), 1–17. https://doi.org/10.4236/ajc.2024.121001

Bao, X., Sun, B., Han, M., Lin, H., & Lau, R. Y. K. (2023). Quantifying the impact of CEO social media celebrity status on firm value: Novel measures from digital gatekeeping theory. Technological Forecasting and Social Change, 189, Article 122334. https://doi.org/10.1016/j.techfore.2023.122334

Bar-Siman-Tov, I. (2025). Legislatures and legislation in the age of artificial intelligence. The Theory and Practice of Legislation, 13(3), 267–291. https://doi.org/10.1080/20508840.2025.2590971

Howell, B., & Potgieter, P. (2025). Navigating the boundaries of digital platform content regulation in New Zealand. Policy Quarterly, 21(2), 68–74. https://doi.org/10.26686/pq.v21i2.9818

Magdy, W., Mubarak, H., & Salminen, J. (2025). Who should set the standards? Analysing censored Arabic content on Facebook during the Palestine-Israel conflict. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3706598.3713150

Mishra, S. O., Ahmer, M., Mittal, N., Maurya, A. K., Singh, A. K., & Kumar, A. (2024). Detection of inappropriate language on social media platforms using machine learning algorithms. In Proceedings of the 2024 Second International Conference on Computational and Characterization Techniques in Engineering & Sciences (IC3TES) (pp. 1–5). IEEE. https://doi.org/10.1109/IC3TES62412.2024.10877429

Pan, C. A., Yakhmi, S., Iyer, T. P., Strasnick, E., Zhang, A. X., & Bernstein, M. S. (2022). Comparing the perceived legitimacy of content moderation processes: Contractors, algorithms, expert panels, and digital juries. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), Article 81, 1–29. https://doi.org/10.1145/3512929

Pant, L. D., & Nizam, M. N. (2026). Scope, challenges and prospects of media self-regulation in Nepal. NPRC Journal of Multidisciplinary Research, 3(1), 162–179. https://doi.org/10.3126/nprcjmr.v3i1.90052

Ṣalāḥ, M. ʿA. (2022). Mushārakat al-akhbār wa-tadāwuluhā ʿabra mawāqiʿ al-tawāṣul al-ijtimāʿī: Dirāsah li-sulūk al-jumhūr al-ʿArabī fī istikhdām al-akhbār al-raqamiyyah [News sharing and circulation via social media sites: A study of Arab audience behavior in using digital news]. Journal of the Social Sciences, 50(4), 246–271. https://doi.org/10.34120/jss.v50i4.2711

Watson, J., van der Linden, S., Watson, M., & Stillwell, D. (2024). Negative online news articles are shared more to social media. Scientific Reports, 14, Article 21592. https://doi.org/10.1038/s41598-024-71263-z

Yang, B., Wang, Y., Zeng, X., & Zhou, B. (2025). Violence-provoking speech detection technology for Asian hate. In Proceedings of the 2025 IEEE 10th International Conference on Data Science in Cyberspace (DSC) (pp. 311–318). IEEE. https://doi.org/10.1109/DSC67331.2025.00047

Published

07/15/2026

Issue

Section

Articles

How to Cite

DR. Faisal Kamil Mohamed, Dr. Alarabi Ben Thaier, & Dr. Mohammed El Khider. (2026). The Dynamics of Interactive Audience Behavior on Digital News Platforms:: An Analytical Study of Usage Patterns and Motivations for Engagement on Platform (X). Ijhss, 4(2). https://doi.org/10.61856/39nn9m60

Similar Articles

21-30 of 35

You may also start an advanced similarity search for this article.