How Cassandra Cain Defies A Stereotype
This reduces the coverage ratio of word embeddings. We also noticed that suspicious news in Twitter are more related to sexual issues. To validate our observations, we extracted the mean value of sexual words using a list of sexual terms (Frenda et al., 2018). The mean value is the average number of times a sexual/bad word appears in a tweet normalized by the length of the tweet. List than in news articles where the mean value in Twitter is 0.0027 and 0.0017 in news articles. Following, we focus on analyzing false information from an emotional perspective. We are aiming to answer the rest of the questions, RQ2, RQ3, and RQ4. RQ2 Do the emotions have similar importance distributions in both Twitter and news articles sources? Intuitively, the emotions contribution in the classification process is not the same, where some words could manifest the existence of specific kind of emotions rather than others. resimvip The objective in Eq. ? , 0 ) . Figure 3 shows an example of such a triplet. ...
