This report analyzes "photobombs," defined as unintended subjects, such as wildlife or people, appearing within primary photographic frames. Findings indicate that while these occurrences can introduce noise into research data, they significantly increase engagement and virality in social media contexts. Recommendations include using AI filters to manage data integrity in research while leveraging the content for increased social media engagement. For more on the definition of photobombing, visit Cambridge Dictionary .