Description

Every time a well-known public figure posts something on social media, it encourages many users to comment. Unfortunately, not all comments are relevant to the post. Some are spam comments which can disrupt the overall flow of information. This research employed two strategies to address issues in text spam detection on social media. The first strategy was utilizing emojis that had been frequently discarded in many studies. In fact, many social media users use emojis to convey their intentions. The second strategy was utilizing stacked post-comment pairs, which was different from many spam detection systems that solely focused on comment-only data. The post-comment pairs were required to detect whether a comment was relevant (not spam) or spam irrelevant to the post context.