Incredible tweets: Automated credibility analysis in Twitter feeds using an alternating decision tree algorithm
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
This project investigates how to determine the credibility of a tweet without using human perception. Information about the user and the tweet is studied in search for correlations between their properties and the credibility of the tweet. An alternating decision tree is created to automatically determine the credibility of tweets.
Some features are found to correlate to the credibility of the tweets, amongst which the number of previous tweets by a user and the use of uppercase characters are the most prominent.
Place, publisher, year, edition, pages
IdentifiersURN: urn:nbn:se:kth:diva-186711OAI: oai:DiVA.org:kth-186711DiVA: diva2:927807