This paper describes some experiments carried out to measure sentiment, which we call emotional reaction, on blog headlines. We analyze a text corpus of titles from Facebook entries or posts linking to a website. These titles are basically headlines and we study them to understand the relationship between article headlines and the self-reported reactions of the articles' readers. We utilize the recently launched feature, Facebook reactions that enable people to express their emotional reactions with five emojis. These reactions and headlines are gathered from different fan-pages, we analyze them, make an exploratory data analysis and present preliminary results of a reaction predictor.