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Scanpath Trend Analysis on Web Pages: Clustering Eye Tracking Scanpaths
Sukru Eraslan, Yeliz Yesilada, Simon Harper
Article No.: 20
Eye tracking studies have widely been used in improving the design and usability of web pages and in the research of understanding how users navigate them. However, there is limited research in clustering users’ eye movement sequences (i.e.,...
Machine learning algorithms and recommender systems trained on human ratings are widely in use today. However, human ratings may be associated with a high level of uncertainty and are subjective, influenced by demographic or psychological factors....
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring
Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
Article No.: 22
With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for...
COIP—Continuous, Operable, Impartial, and Privacy-Aware Identity Validity Estimation for OSN Profiles
Leila Bahri, Barbara Carminati, Elena Ferrari
Article No.: 23
Identity validation of Online Social Networks’ (OSNs’) peers is a critical concern to the insurance of safe and secure online socializing environments. Starting from the vision of empowering users to determine the validity of OSN...
Manipulation among the Arbiters of Collective Intelligence: How Wikipedia Administrators Mold Public Opinion
Sanmay Das, Allen Lavoie, Malik Magdon-Ismail
Article No.: 24
Our reliance on networked, collectively built information is a vulnerability when the quality or reliability of this information is poor. Wikipedia, one such collectively built information source, is often our first stop for information on all...