Academic Content and Social Media Algorithms: Where is the Conflict?
Academic Content and Social Media Algorithms: Where is the Conflict? A recent experience has brought this question to the forefront. When publishing a post on an academic topic, Facebook reported that its system had flagged multiple attempts to post within a short period of time as spam. The post was an academic cautionary tale about a predatory journal, but the algorithm had no value for that relevance. Social media algorithms primarily analyze behavior, not the quality or relevance of the content. Attempts to post multiple times within a certain period of time are automatically marked as suspicious. The type of content is not taken into account in this process. The main problem is structural. Major social media platforms, including Facebook, Twitter, and LinkedIn, are primarily driven by the goal of increasing user engagement. Viral content and quickly consumed posts are prioritized by these algorithms. Academic discussions, critical analysis, and long research-based writi...