The New York Times @nytimes
About 70 percent of the words in the generated text were on the special list — far more than expected than if written by a person. A detection tool that knew which words were on the special list would be able to tell the difference. Explore this further: https://t.co/uQHvkT9vjJ — PolitiTweet.org