Social Impact - Identifying Quotes of Literary Works in Social Networks

Abstract

A non-neglectable amount of information shared in social networks has quotes to literary works that, most of the times, is not linked to the original work or author. Also, there are erroneous quotes that do not fully match the original work, for example by including synonyms and slang words. Moreover, users sometimes associate their quotes to the wrong author, which creates misleading information. This paper presents Social Impact framework as an approach to identify quotes in social networks and match them to the original literary works from a particular author. This framework was applied to two case-studies: O Mundo em Pessoa and Lusica. In the first case-study, Social Impact evaluation achieved 98% for precision measure and 59% for recall, whereas in the latter case-study it obtained 100% for precision and 53% of recall.