An Approach to Relevancy Detection: contributions to the automatic detection of relevance in social networks

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Figueira, A (Author) FCUP; Sandim, M (Author) Other; Fortuna, P (Author) Other

Conference proceedings International

Title: NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1

Pages: 89-99

World Conference on Information Systems and Technologies (WorldCIST)

Recife, BRAZIL, MAR 22-24, 2016

Indexing

ISI Web of Knowledge - 9 Citations

Scopus - 15 Citations

Other information

Authenticus ID: P-00K-9T1

DOI: 10.1007/978-3-319-31232-3_9

Abstract (EN): In this paper we analyze the information propagated through three social networks. Previous research has shown that most of the messages posted on Twitter are truthful, but the service is also used to spread misinformation and false rumors. In this paper we focus on the search for automatic methods for assessing the relevance of a given set of posts. We first retrieved from social networks, posts related to trending topics. Then, we categorize them as being news or as being conversational messages, and assessed their credibility. From the gained insights we used features to automatically assess whether a post is news or chat, and to level its credibility. Based on these two experiments we built an automatic classifier. The results from assessing our classifier, which categorizes posts as being relevant or not, lead to a high balanced accuracy, with the potential to be further enhanced.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11