Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Detection of Cyberbullying on Social Media Using Machine learning
PaperId: :  22733
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22733
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sadineni Yaswanth SaiVasireddy Venkatadri Institute of Technology
Yarramuri Pavan KumarVasireddy Venkatadri Institute of Technology
Shaik SalmanVasireddy Venkatadri Institute of Technology
Prashant SingamsettiVasireddy Venkatadri Institute of Technology

Abstract

Machine Learning
Cyberbullying, K-Nearest Neighbor, Support Vector Machine, Machine Learning
Cyberbullying represents a significant challenge in the online realm, impacting both teenagers and adults and giving rise to severe consequences such as suicide and depression. The imperative for regulating content on social media platforms has become increasingly evident. In response to the incidents of harm caused by cyberbullying, we employ data sourced from two distinct manifestations of this phenomenon: hate speech tweets on Twitter. Our objective is to construct a model utilizing the Support Vector Machine (SVM) algorithm in the field of machine learning to detect instances of cyberbullying within textual data. The pervasive nature of cyberbullying has necessitated a proactive approach to mitigate its adverse effects on individuals, particularly the vulnerable demographic of teenagers. The alarming rise in incidents resulting in tragic outcomes like suicide and depression underscores the urgency of addressing this issue. Recognizing the role of social media platforms as conduits for cyberbullying, there is a compelling need for effective content regulation to create a safer online environment. To tackle this challenge, we leverage data derived from hate speech tweets on the Twitter platform, representing two distinct forms of cyberbullying. Employing the Support Vector Machine (SVM) algorithm within the realm of machine learning, we aim to develop a robust model capable of identifying cyberbullying instances embedded in textual data. This approach reflects a proactive stance in combating the detrimental impacts of cyberbullying, emphasizing the role of technological interventions and algorithmic solutions in fostering a more secure and supportive online space. In addition, continuous monitoring and adaptation of the model will be crucial to staying ahead of evolving cyberbullying tactics and safeguarding the well-being of internet users.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti. "Detection of Cyberbullying on Social Media Using Machine learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 257-262
MLA Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti. "Detection of Cyberbullying on Social Media Using Machine learning." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 257-262.
APA Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, & Prashant Singamsetti. (2024). Detection of Cyberbullying on Social Media Using Machine learning. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 257-262.
Chicago Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti. "Detection of Cyberbullying on Social Media Using Machine learning." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 257-262.
Oxford Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti. 'Detection of Cyberbullying on Social Media Using Machine learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 257-262. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detection_of_Cyberbullying_on_Social_Media_Using_Machine_learning_ijariie22733.pdf (Accessed : ).
Harvard Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti. (2024) 'Detection of Cyberbullying on Social Media Using Machine learning', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 257-262IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detection_of_Cyberbullying_on_Social_Media_Using_Machine_learning_ijariie22733.pdf (Accessed : )
IEEE Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti, "Detection of Cyberbullying on Social Media Using Machine learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 257-262, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detection_of_Cyberbullying_on_Social_Media_Using_Machine_learning_ijariie22733.pdf [Accessed : ].
Turabian Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti. "Detection of Cyberbullying on Social Media Using Machine learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Sadineni Yaswanth Sai, Yarramuri Pavan Kumar, Shaik Salman, and Prashant Singamsetti. Detection of Cyberbullying on Social Media Using Machine learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 257-262. Available from: https://ijariie.com/AdminUploadPdf/Detection_of_Cyberbullying_on_Social_Media_Using_Machine_learning_ijariie22733.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
SOLAR WIRELESS ELECTRIC VEHICLE USING CHARGING SYSTEMElectronic and communication Hima J Download
Literature Review on Fibre Bragg Grating Sensors: Principles, Fabrication Techniques, Applications, and Future ProspectsElectronics and Communication Engineering Yashaswini D Download
Literature Survey on Smart Optical Fiber based Respiratory Monitoring systemElectronics and communication engineering Sai Priyanka A M Download
An loT Based Novel Approach to Health Emergency Management Through Real-Time Data Acquisition and AnalysisHealth sectorDr Siddesh G K Download
DESIGN AND DEVELOPMENT OF RIVER SURFACE CLEANING ROBOT USING IOTElectronics and communication engineeringBALAJI B R Download
A Solar Powered Wireless Power Transfer for Electric Vehicle (EV) ChargingElectronics and Communication EngineeringDr. Siddesh G K Download
AI-XRAY: AUTOMATED LUNG CANCER AND PNEUMONIA DETECTIONElectronics and communication engineeringYASHASWINI H M Download
Predictive Health Monitoring for Proactive Public Safety and ManagementElectronics and Communication EngineeringROOPA G D Download
IMPROVING BRAIN CANCER DETECTION THROUGH AI DRIVEN OBJECT RECOGNAISATIONElectronic and communication Parvathi CM Download
IOT BASED SMART FOOTWEAR FOR WOMEN & CHILDEREN SECURITYElectronics & CommunicationNandini G R Download
Smart Pesticide Sprayer Robot Using IOT In Agriculture FieldEletronics and Communication EngineeringMadhukeshava M Download
Evaluation of LoRa Based Air Pollution Monitoring SystemElectronic and Communication EngineeringSATHISH H Download
SMART CROP MONITORING SYSTEM AND IOTElectronics and Communication EngineeringSangeetha M R Download
Design of a IoT-based Water Harvesting, Moisture Monitoring, and Crop Monitoring System for Precision AgricultureElectronics and communication engineeringDeepthi T R Download
SMART GLOVES FOR SPEECH IMPAIRED PEOPLESELECTRONICS AND COMMUNICATION ENGINEERINGSudharshan M K Download
12