SentNet: The Effects of Sentiment on Information Propagation
نویسندگان
چکیده
We aim to model online news as an evolving self-replicating phenomenon under selection pressures due to the sentiment which it evokes. We explore this idea by applying lexicon-based sentiment classification to clusters of quotes created using the MemeTracker framework. We perform correlation tests on the popularity, sentiment and network features extracted from each cluster and found that sentiment features are more tightly correlated with future popularity than features of current popularity are.
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تاریخ انتشار 2010