Unsupervised Hybrid approaches for Cyberbullying Detection in Instagram
نویسندگان
چکیده
منابع مشابه
Detection of Cyberbullying Incidents on the Instagram Social Network
Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to investigate fundamentally new approaches to understand and automatically detect incidents of cyberbullying over images in Instagram, a media-based mobile social network. To this end, we have collected a sample Instagram data set consisting of images and their associated comments,...
متن کاملA Study of Cyberbullying Detection and Mitigation on Instagram
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متن کاملContent-Driven Detection of Cyberbullying on the Instagram Social Network
We study detection of cyberbullying in photosharing networks, with an eye on developing earlywarning mechanisms for the prediction of posted images vulnerable to attacks. Given the overwhelming increase in media accompanying text in online social networks, we investigate use of posted images and captions for improved detection of bullying in response to shared content. We validate our approache...
متن کاملPrediction of Cyberbullying Incidents on the Instagram Social Network
Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to investigate fundamentally new approaches to understand and automatically detect and predict incidents of cyberbullying in Instagram, a media-based mobile social network. In this work, we have collected a sample data set consisting of Instagram images and their associated comments...
متن کاملAnalyzing Labeled Cyberbullying Incidents on the Instagram Social Network
Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to study labeled cyberbullying incidents in the Instagram social network. In this work, we have collected a sample data set consisting of Instagram images and their associated comments. We then designed a labeling study and employed human contributors at the crowd-sourced CrowdFlowe...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2021
ISSN: 0975-8887
DOI: 10.5120/ijca2021921191