Credibility-based Fake News Detection
Table 7: Distribution of words in title and text
['[BOLD] News Type', '[BOLD] # words in title mean', '[BOLD] # words in title median', '[BOLD] # words in text mean', '[BOLD] # words in text median', '[BOLD] # sentences mean', '[BOLD] # sentences median', '\\bf\\# words\\bf\\# sentences mean', '\\bf\\# words\\bf\\# sentences median']
In TweetCred system [gupta2014tweetcred], the number of characters and number of words were among the important features to evaluate credibility of tweets. Earlier work has also shown that tweet length is one of the indicators for credibility [gupta2014tweetcred, odonovan2012credibility]. Hence, the news content length may also be an indicator for the credibility. Similarly, the length of true news articles and their number of sentences were found to be higher on average compared to fake news.