Detection of Fake Users in Twitter Using Network Representation and NLP

Author:

Chakraborty Manojit1,Das Shubham2,Mamidi Radhika3

Affiliation:

1. Robert Bosch Research and Technology Center, India,Bengaluru,India

2. Swiggy,Bengaluru,India

3. IIIT Hyderabad,Hyderabad,India

Publisher

IEEE

Reference22 articles.

1. On variants of shortest-path betweenness centrality and their generic computation;brandes;Social Networks,2008

2. Networks

3. The pagerank citation ranking: Bringing order to the web;page;Stanford Info Lab Technical Report,1999

4. A Mathematical Theory of Communication

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2. Unmasking Twitter Bots: Feature Engineering and Machine Learning for Bot Account Identification;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

3. DeepMUI: A novel method to identify malicious users on online social network platforms;Concurrency and Computation: Practice and Experience;2023-09-23

4. Machine Learning Boosting Algorithms to Detect the Fake User Profiles on Instagram;2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS);2023-09-15

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