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Deepbot: A Deep Neural Network based approach for Detecting Twitter Bots

  • Harbin Institute of Technology Shenzhen

Research output: Contribution to journalConference articlepeer-review

Abstract

Social networks have played a very critical role in very aspect of our daily life. However, a wide variety of bots have been found which are designed for some malicious purposes such as spreading spam mes- sages and faking news. Although various techniques have been proposed, this task is still challenging if we want to judge whether the tweets are posted by a bot or not merely based on the textual information. For this challenge, the Deepbot is designed which adopts the Bi-LSTM model to analyze tweets and a Web interface is provided for public access which is developed using Web service. From our empirical studies, this system can achieve better classification accuracy.

Original languageEnglish
Article number012063
JournalIOP Conference Series: Materials Science and Engineering
Volume719
Issue number1
DOIs
StatePublished - 8 Jan 2020
Externally publishedYes
Event2019 3rd Annual International Conference on Cloud Technology and Communication Engineering, CTCE 2019 - Wuhan, China
Duration: 15 Nov 201916 Nov 2019

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