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CYBERBULLYING DETECTION ON TWITTER

Liew Choong Hon,, Kasturi Dewi Varathan
2015 International Journal of Information Systems and Engineering  
Cyberbullying is a type of harassment that takes place in social networking sites which enable the cyberbullies to execute their crime on the vulnerable victims and this serious offense in cyber world  ...  Hence, the Cyberbullying Detection System on Twitter is a solution with the aim to effectively discover the cyberbullying related tweets from Twitter.  ...  Introduction To date, Internet users from all over the world utilize and access varieties of social media and social network services (SNS) as a fundamental of their personal networking, relationship collaboration  ... 
doi:10.24924/ijise/2015.04/v3.iss1/36.47 fatcat:7i7hw2q44nanzhjrp4c4koyn3e

Towards User Modelling in the Combat against Cyberbullying [chapter]

Maral Dadvar, Roeland Ordelman, Franciska de Jong, Dolf Trieschnigg
2012 Lecture Notes in Computer Science  
State-of-the-art studies in cyberbullying detection have mainly focused on the content of the conversations while largely ignoring the users involved in cyberbullying.  ...  experience, will improve the accuracy of cyberbullying detection.  ...  They have illustrated the application of common sense knowledge in the design of social network software for detecting cyberbullying.  ... 
doi:10.1007/978-3-642-31178-9_34 fatcat:mz4nagzp5vbwdibajf4qhirbre

Privacy Preserving Cyberbullying Prevention with AI Methods in 5G Networks

Sara Ramezanian, Valtteri Niemi
2019 2019 25th Conference of Open Innovations Association (FRUCT)  
With the increase of online social media, cyberbullying incidents have been increased as well.  ...  The operator utilizes policy control in 5G networks, to protect victims of cyberbullying from harmful traffic.  ...  One such approach is to enhance the techniques by analyzing social network features [27] .  ... 
doi:10.23919/fruct48121.2019.8981521 dblp:conf/fruct/RamezanianN19 fatcat:6rrx2dexiraw7p6iudtaabvycu

Cyber Bullying Detection for Twitter Using ML Classification Algorithms

Muskan Patidar
2021 International Journal for Research in Applied Science and Engineering Technology  
Abstract: Social networking platforms have given us incalculable opportunities than ever before, and its benefits are undeniable.  ...  With the exponential increase of social media users, cyberbullying has been emerged as a form of bullying through electronic messages.  ...  LITERATURE REVIEW Cyberbullying Detection System on Twitter Increased cyberbullying attacks on the social network services. To prevent these activities a system was proposed.  ... 
doi:10.22214/ijraset.2021.38701 fatcat:tkdtfqyxujbbdkp3gk2mwpmymm

A Novel Approach for Image based Cyberbullying Detection and Prevention

Vijayakumar V., Hari Prasad D., Adolf P.
2021 International Journal of Computer Applications  
Most of the current works have focused on detecting cyberbullying based on textual information and very few are based on image cyberbullying.  ...  The experiments are conducted on publicly available social media datasets and tested with telegram chat communication.  ...  Wang et al., proposed multi-modal detection framework that takes into image, video, comments, time (multi-modal information) on social networks [13] .  ... 
doi:10.5120/ijca2021921591 fatcat:szbuiiexwvgjppwq3v5fbetjdu

Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media

Bedoor Y. AlHarbi, Mashael S. AlHarbi, Nouf J. AlZahrani, Meshaiel M. Alsheail, Dina M. Ibrahim
2020 Journal of Information Technology Management  
Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine learning algorithms.  ...  However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages.  ...  The proposed system works on detection in images, video, and audio from social networks. (Van Hee et al..2018) Use of LSVM.  ... 
doi:10.22059/jitm.2020.75796 doaj:28ca55dee9a14054b7c358c1fbf38e18 fatcat:qsr5fn7rzbb6bmncusokxblv4e

Cyber Bullying and Machine Learning: A Survey

Ibtihaj Alanazi, Jim Alves-Foss
2020 Zenodo  
This is what encouraged us to control bullying by detecting it on different social media sites so that the people out there can take initiatives to end it.  ...  Abstract—On an average, 20% to 40% of all teenagers have been mistreated online. With appropriate detection of possible harmful messages, successful prevention can be achieved.  ...  Cyberbullying Research on Online Social Networks Analysis and detection of cyberbullying/profanity/harassing incidents in several online social networks like Twitter , Ask.fm, YouTube, FormSpring, chat-services  ... 
doi:10.5281/zenodo.4249340 fatcat:rty6mejoqbdghbnf5secickfhq

Cyberbullying detection

Maral Dadvar, Franciska de Jong
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
State-of-the-art studies in cyberbullying detection have mainly focused on the content of the conversations while largely ignoring the users involved in cyberbullying.  ...  experience, will improve the accuracy of cyberbullying detection.  ...  Approach We studied the effect of gender-specific language features on the detection of cyberbullying in social networks.  ... 
doi:10.1145/2187980.2187995 dblp:conf/www/DadvarJ12 fatcat:vff7d4mrfjexvogitenie6ex6u

Online Social Network Bullying Detection Using Intelligence Techniques

B. Sri Nandhini, J.I. Sheeba
2015 Procedia Computer Science  
The proposed method is an effective method to detect cyberbullying activities on social media.  ...  However, Social Networking Sites is providing opportunities for cyberbullying activities.  ...  Hence, the proposed system focuses on detecting the presence of cyberbullying activity in social networks using fuzzy logic which helps government to take action before many users becoming a victim of  ... 
doi:10.1016/j.procs.2015.03.085 fatcat:y7hr6zzp2jfrxmb2v2ei4f5kpu

Cyber Bullying Detection on Social Media using Machine Learning

K. Mahesh, Suwarna Gothane, Aashish Toshniwal, Vinay Nagarale, Harish Gopu
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
In the beginning, no one may have thought internet would be a host of numerous amazing services like the social networking.  ...  Today we can say that online applications and social networking websites have become a non-separable part of one's life. Many people from diverse age groups spend hours daily on such websites.  ...  Mishra , Cyberbullying is a growing problem affecting more than half teens. The main goal is to study cyberbullying incidents in the social network.  ... 
doi:10.32628/cseit217381 fatcat:dkdgsrrtnrhnpkegmfsk36efze

Analysis of Tweets Related to Cyberbullying

Sophia Alim
2015 International Journal of Cyber Behavior Psychology and Learning  
There is a lack of research into what types of advice and support are available in tweets for cyberbullying victims, and into the features influencing the spread of tweets related to cyberbullying.  ...  In this study, 7,315 tweets associated with cyberbullying were extracted and analysed.  ...  police, peer mentors, and social network companies for support.  ... 
doi:10.4018/ijcbpl.2015100103 fatcat:pjknk7ahwffspds67k5kj6qlwq

Identification of Profane Words in Cyberbullying Incidents within Social Networks

Wan Noor Hamiza Wan Ali, Masnizah Mohd, Fariza Fauzi
2021 Journal of Information Science Theory and Practice  
It is also useful in modeling a cyberbullying detection model based on the identification of profane word distribution across different cyberbullying roles in social networks for future works.  ...  The popularity of social networking sites (SNS) has facilitated communication between users.  ...  State-of-the-art works on cyberbullying detection that used profanity feature to detect cyberbullying in on-line social networks include research works by Dinakar et al. (2011 ), Van Hee et al. (2018)  ... 
doi:10.1633/jistap.2021.9.1.2 doaj:5a1842ed31ea4819b8d2ca8deb62b546 fatcat:6ouik6ao2bapjpmvivuh43bsrm

A Framework for Protecting Teenagers from Cyber Crimes and Cyberbullying

Sultan Saud Alanazi, Adwan Alownie Alanazi
2021 International Journal of Advanced Computer Science and Applications  
Therefore, this article provides a way to detect cyberbullying in social media applications for parents.  ...  The purpose of our work is to develop an architectural model for identifying and measuring the state of Cyberbullying faced by children on social media applications.  ...  In this modern era, social networking is most important. As a result, social networking sites are now widely used for a variety of purposes, including entertainment and networking.  ... 
doi:10.14569/ijacsa.2021.0120634 fatcat:y64uhmrqbzg4bdiwfhqoqk3qea

Identification and Detection of Cyberbullying on Facebook Using Machine Learning Algorithms

Nureni Ayofe AZEEZ, Sanjay Misra, Omotola Ifeoluwa LAWAL, Jonathan Oluranti
2021 Journal of Cases on Information Technology  
Cyberbullying is known to be the cause of some serious health issues among social media users and creating a way to identify and detect this holds significant importance.  ...  to occur more frequently while using these networks.  ...  Zhao, Zhou, and Mao (2016b) proposed a system that detected cyberbullying automatically on social networks using bullying features.  ... 
doi:10.4018/jcit.296254 fatcat:c4bu4pnuwfeklgckbxrhgv4xae

Automatic monitoring of cyberbullying on social networking sites: From technological feasibility to desirability

Kathleen Van Royen, Karolien Poels, Walter Daelemans, Heidi Vandebosch
2015 Telematics and informatics  
The automatic monitoring of cyberbullying on social networking sites has potential for signalling harmful messages, preventing these messages from remaining online and providing timely responses.  ...  Future research should involve the views of adolescents and parents with regard to user desirability and prioritisation of cyberbullying detection, as well as views from social network providers.  ...  Cyberbullying frequently occurs among adolescents on social networking sites (SNS) (Lenhart et al., 2011) .  ... 
doi:10.1016/j.tele.2014.04.002 fatcat:yzib2keljbecpowkiz7p6hpvha
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