|Authors||C. Boididou, S. Papadopoulos, S. E. Middleton, D. T. D. Nguyen, M. Riegler, A. Petlund and Y. Kompatsiaris|
|Title||The VMU Participation @ Verifying Multimedia Use 2016|
|Publication Type||Proceedings, refereed|
|Year of Publication||2016|
|Conference Name||MediaEval 2016 Workshop|
|Publisher||CEUR Workshop Proceedings|
|Place Published||Hilversum, Netherlands|
The participating approach predicts whether a tweet, which is accompanied by multimedia content (image/video), is trustworthy (real) or deceptive (fake). We combine two different methods a) one using a semi-supervised learning scheme that leverages the decisions of two independent classifiers to produce a decision and b) one using textual patterns to extract claims about whether a post is fake or real and attribution statements about the content source. The experiments, carried out on the Verifying Multimedia Use dataset, used different combinations of content quality and trust-oriented features, namely tweet-based, user-based and forensics.