Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter

Marc-André Kaufhold, Markus Bayer, Daniel Hartung, Christian Reuter 0001. Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V. Volume 12895 of Lecture Notes in Computer Science, pages 396-408, Springer, 2021. [doi]

Abstract

Abstract is missing.