Using recurrent neural networks for tweet buzzer detection

Author:

Trisnawarman Dedi,Imam Muhammad Choirul,Hugeng

Publisher

AIP Publishing

Reference13 articles.

1. WeAreSocial. Digital 2020 Report. url : https://datareportal.com/reports/digital-2020-indonesia. Retrieved February 24, 2021, 2020

2. S. Bradshaw and P.N. Howard, “The global disinformation order: 2019 global inventory of organised social media manipulation” in Computational Propaganda (2019).

3. R. Camil, N.H. Attamimi and K. Esti, “Behind the buzzer phenomenon: Understanding the industry landscape and the impact of buzzers in Indonesia” in Centre for Innovation Policy and Governance, 1(1) (2017), pp. 1–30.

4. J. Ma, W. Gao, P. Mitra, S. Kwon, B. J. Jansen, K. Wong, and M. Cha. “Detecting Rumors from Microblogs with Recurrent Neural Networks” in IJCAI (2016), pp. 3818–3824.

5. A. Sherstinsky, “Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network,” Phys. D Nonlinear Phenom., vol. 404, no. March, pp. 1–43, 2020.

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