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- W3174228542 abstract "The rate of innovation is increasing rapidly. This growth in innovation gives another dimension of communication. But in spite of the fact that innovation inspires us in various parts of life, it goes with different effects that influence people in a hard or the other way. Cyberbullying is one of them. Social media gives a platform to communicate with masses, but it also becomes a place for negative comments and cyber-bullying. Cyberbullying is bullying executed through digital equipment like computer laptops and mobile devices. Cyberbullying occurs on social media, chat rooms, and gaming platforms where people can view and share their own content. Cyberbullying includes sending hurtful messages posting sensitive photos or video on social media and extending mean rumors online. Cyberbullying is a huge problem. So as to prevent such a problem cyberbullying detection method based on deep neural networks is developed called Convolution Neural Network (CNN). CNN is used for better outcomes when contrasted with the current systems." @default.
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- W3174228542 date "2020-01-01" @default.
- W3174228542 modified "2023-09-27" @default.
- W3174228542 title "Cyberbullying Detection in Social Networks: A Survey" @default.
- W3174228542 doi "https://doi.org/10.2139/ssrn.3648738" @default.
- W3174228542 hasPublicationYear "2020" @default.
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