Researchers used machine learning to find users tweeting about US politics. They asked tweeters what emotions they felt after sending their message. They then showed the same tweets to other users and asked them to rate the emotional state of the tweeters.
The results showed that observers were more accurate in describing joy than anger. However, they tended to attribute more anger to the tweeters than they actually did.
Scientists suggest that this is because people perceive negative information more intensely and expect the same reaction from others.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
