We study the relationship between news sentiment and the cross-section of stock returns and risks by applying news sentiment scores from four different datasets (Alexandria, RavenPack, Refinitiv Market MarketPsych, and Refinitiv News Analytics). We find that the sentiment scores from the different datasets differ in terms of the value and the source, making them complementary as opposed to competing.