@inproceedings {27333,
	title = {PMData: a sports logging dataset},
	journal = {Proceedings of the 11th ACM Multimedia Systems Conference},
	year = {2020},
	pages = {231-236},
	publisher = {ACM},
	author = {Thambawita, Vajira and Hicks, Steven and Borgli, Hanna and H{\r a}kon Kvale {Stensland} and Jha, Debesh and Martin Kristoffer {Svensen} and Pettersen, Svein-Arne and Johansen, Dag and H{\r a}vard Dagenborg {Johansen} and Susann Dahl {Pettersen} and Nordvang, Simon and Pedersen, Sigurd and Gjerdrum, Anders and Gr{\o}nli, Tor-Morten and Per Morten {Fredriksen} and Eg, Ragnhild and Hansen, Kjeld and Fagernes, Siri and Claudi, Christine and Bi{\o}rn-Hansen, Andreas and Duc Tien Dang {Nguyen} and Kupka, Tomas and Hugo Lewi {Hammer} and Jain, Ramesh and Riegler, Michael and Halvorsen, P{\r a}l}
}
@inproceedings {24856,
	title = {The VMU Participation @ Verifying Multimedia Use 2016},
	journal = {MediaEval 2016 Workshop},
	year = {2016},
	month = {10/2016},
	publisher = {CEUR Workshop Proceedings},
	address = { Hilversum, Netherlands},
	abstract = {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.},
	author = {Boididou, Christina and Papadopoulos, Symeon and Stuart E. {Middleton} and Duc Tien Dang {Nguyen} and Riegler, Michael and Petlund, Andreas and Kompatsiaris, Yiannis}
}
