The Post Behind Anonymity: A Thematic Discourse Analysis of Facebook Posts from Confession Pages in different Universities in the Philippines

Ramon L. Rodriguez, Jay Rhald Padilla, Myron Darrel Montefalcon, Mideth B. Abisado, Rodolfo C. Raga
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Abstract

Facebook confession pages have become a popular platform in numerous universities in the Philippines, enabling college students to share experiences, thoughts, and emotions anonymously. However, the vast content on these pages makes understanding the underlying themes and patterns in the posts challenging. This study collected textual contents from the Facebook confession pages of (14) local universities in the Philippines from 2018-2022 using Scrapestorm. After collection and undergoing several preprocessing techniques, Latent Dirichlet Allocation (LDA), a topic modeling algorithm, was applied to analyze the themes in the collected dataset. The results of the analysis revealed (2) general topics related to the social relationships and personal experiences of college students. On the other hand, (5) underlying topics were discussed in the discourses and posts from the confession pages including: ’confessing vulnerabilities, ’ranting about daily struggles’, ’opinions on political events’, ’sharing success stories’, and even ’sharing sensitive topics’. Also, the analysis revealed (5) terminologies that frequently co-occurred together, such as ’shout-out’, ’crush kita’, ’wanna-say’, ’mental-health’, and ’face-face’, which depict different topic discourses of college students in the Philippines.
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匿名背后的帖子:菲律宾不同大学Facebook告白页面帖子的主题话语分析
Facebook的告白页面已经成为菲律宾许多大学的流行平台,让大学生可以匿名分享经历、想法和情感。然而,这些页面上的大量内容使得理解帖子中的潜在主题和模式具有挑战性。本研究使用Scrapestorm从2018-2022年菲律宾(14)所地方大学的Facebook忏悔页面收集文本内容。在收集并经过多种预处理技术后,应用主题建模算法潜狄利克雷分配(Latent Dirichlet Allocation, LDA)对收集到的数据集中的主题进行分析。分析结果揭示了(2)与大学生社会关系和个人经历相关的一般话题。另一方面,(5)在告白页面的话语和帖子中讨论的潜在话题包括:“承认弱点”,“对日常挣扎的抱怨”,“对政治事件的看法”,“分享成功故事”,甚至“分享敏感话题”。此外,分析还揭示了(5)经常同时出现的术语,如“大喊大叫”、“碾压基塔”、“想说”、“心理健康”和“面对面”,这些术语描述了菲律宾大学生的不同话题话语。
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