12 power point Slides based on the previous work done You on deep learning for detecting hate speech and bullying

DEEP LEARNING FOR PREDICTION SYSTEMS SUCH AS FAKE NEWS, HATE SPEECH AND CYBERBULLYING
DEEP LEARNING FOR PREDICTION SYSTEMS SUCH AS FAKE NEWS, HATE SPEECH AND CYBERBULLYING
Project Presentation
Overview of presentation
Introduction
Research Rationale    
Research Aims and Objectives    
Research Questions    
Research Significance    
Concept of Deep Learning    
Concept of Prediction System in Deep Learning
Hate Speech    
Cyber Bullying    
Fake News    
Research Methodology
Research Approach    
Inclusion and Exclusion Criteria    
Data Collection and Analysis Strategies
References    
Speaker Notes:- This slide provides you with the overview of entire presentation. The purpose of this research presentation is to provide the details of the several aspects related to the topic. The research will be done on all the given factors. The determination of the objectives, along with the research questions, acts as a pathway for the completion of the research proposal. The literature review presented in this research will give enough substance for the proper understanding of the keywords and its relevance. The well-defined research methodology is being provided that will act as guidance for the entire research. The typical aspect of cyberbullying and its types, the different kinds of laws against hate speech, is stated in the proposal. The contribution of the Artificial Intelligence (AI) in the detection of fake news is also stated in this proposal. The relevance of using different approaches to complete the task is also provided in this research proposal.
2
Introduction
According to the digital world, more than 27% of the youth are affected and harassed because of the rise in cyberbullying and telling. The use of the internet has created several damages to the minds of the child. More than 13% of the children have been found under clinical depression due to the ill effects of cybercrimes (Olweus & Limber, 2018). The false information circulated the internet is the result of various drastic changes undertaken by the youth. Therefore, the research study aims to provide specific technological solutions to bring a decisive move against the ill effects of cyberbullying.
Research Rationale - It is an issue because the misuse of the internet is affecting the lives of the people in a very negative way. It is an issue now because this is the age of technology. Every individual is using social media platforms. Social media platforms have become the central point to reveal someone’s opinions. These negative opinions are creating bad influence over others. The research sheds light on the necessity of deep learning to restrict the misuse of the internet. The study provides a new dimension towards discovering ways to limit the negative impacts of the internet.
3
Cyberbullying, trolling, hate comments and fake news is some of the critical concerns of society
The false information circulated the internet is the result of various drastic changes undertaken by the youth.
Research study aims to provide specific technological solutions to bring a decisive move against the ill effects of cyberbullying
Research Rationale - The excessive increase of cyberbullying, hate comments, trolls and fake news is the research issue. The research addresses how the concepts of deep learning can help in mitigating the ill effects of the internet over society. It is an issue because of the excessive use of the internet has created a clinical depression among the youth of society.
Research Aims and Objectives
To understand the concepts of Deep learning
To understand the effectiveness of deep learning on restricting the issue of the internet
To evaluate the various impacts that use of the internet has on the youth
To understand how deep learning can be implemented in the provision of hate speech and trolling
To evaluate how deep earning can bring out a positive impact on the mindsets of the trollers and the misusers of the internet
The research is highly significant because it tries to find solutions to cyberbullying, fake news and other ill effects of the internet. The study is essential as it can prove to be a pathfinder towards the narrow and conservative world of the internet. Through this research, the effectiveness of technological advancements would be understood. It shows how Deep Learning can be utilised to restrict the ill growth of misuse of the internet (Englander et al. 2018). The research is significant, as it would help in bringing a new dimension in the protection of legal privacy. The study would help in restricting the misuse of the...