IJIET 2025 Vol.15(10): 2195-2205
doi: 10.18178/ijiet.2025.15.10.2417
doi: 10.18178/ijiet.2025.15.10.2417
Using Sentiment Analysis to Evaluate Digital Content as Informal e-Learning on Social Media
Aliff Nawi1,2,*, Nor Yazi Khamis3, Azwin Arif Abdul Rahim3, and Wan Hilmi Wan Abdullah4
1. School of Education, Universiti Utara Malaysia 06010 Kedah, Malaysia
2. Zentrum für Islamische Theologie, Eberhard Karls Universität Tübingen, Tübingen, Germany
3. Centre for Modern Languages, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia
4. Research Centre for Qur’an and Sunnah, Faculty of Islamic Studies, Universiti Kebangsaan Malaysia, Selangor, Malaysia
Email: aliffnawi@yahoo.com (A.N.); nyazi@umpsa.edu.my (N.Y.K.); ariftesl@umpsa.edu.my (A.A.A.R.); hjmiey@ukm.edu.my (W.H.W.A.)
*Corresponding author
2. Zentrum für Islamische Theologie, Eberhard Karls Universität Tübingen, Tübingen, Germany
3. Centre for Modern Languages, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia
4. Research Centre for Qur’an and Sunnah, Faculty of Islamic Studies, Universiti Kebangsaan Malaysia, Selangor, Malaysia
Email: aliffnawi@yahoo.com (A.N.); nyazi@umpsa.edu.my (N.Y.K.); ariftesl@umpsa.edu.my (A.A.A.R.); hjmiey@ukm.edu.my (W.H.W.A.)
*Corresponding author
Manuscript received March 13, 2025; revised April 2, 2025; accepted May 20, 2025; published October 21, 2025
Abstract—The final phase of Type 1 design and developmental research in this study aims to evaluate the effectiveness of digital content, including infographics and videos, from a state-level Zakat institution for informal learning via social media platforms. Evidence of netizens’ informal, selfdirected learning towards infographics and videos is vital in fostering the digitalisation of knowledge and information that meets the needs beyond conventional educational settings. For this purpose, sentiment analysis is employed to assess the emotional tone of user comments and reactions to digital content. Sentiment analysis evaluated the effectiveness of eleven infographics and seven videos of digital content developed for the institution’s official Facebook page. The sentiments towards the graphical information and presentation quality were evaluated using a lexicon-based approach, where statistical analysis is based on accumulated Facebook emojis. Findings from a one-week ‘like’ survey revealed high interest towards digital content. Nevertheless, the videos received more views, likes, and shares than the infographics, despite having fewer topics to cover. High ratings of ‘like’ and ‘love’ for the videos also implied the netizens’ preference towards multimediaintegrated content over static images. The high volume of engagements demonstrated the broad reach of the content, which is a key target of the body’s digitalisation initiatives aimed at educating netizens about Zakat, a religious obligation for adult Muslims to eradicate poverty. Suggestions are made to ensure the production of high-quality digital content for informal learning through social media.
Keywords—informal learning, digital content, sentiment analysis, social media, emoji
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Keywords—informal learning, digital content, sentiment analysis, social media, emoji
Cite: Aliff Nawi, Nor Yazi Khamis, Azwin Arif Abdul Rahim, and Wan Hilmi Wan Abdullah, "Using Sentiment Analysis to Evaluate Digital Content as Informal e-Learning on Social Media," International Journal of Information and Education Technology, vol. 15, no. 10, pp. 2195-2205, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).