Hate On The Net
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Hate On The Net
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Author : Antonio Roversi
language : en
Publisher: Routledge
Release Date : 2017-11-28
Hate On The Net written by Antonio Roversi and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-28 with Law categories.
Terrorists, subversive political groups and gangs with violent agendas have found an easy and convenient means to promulgate their messages of hate - cyberspace. Whilst debate about the use of the internet by extremist groups rages around governments and media alike, little has hitherto been presented as analysis of the websites themselves. Timely and topical, Antonio Roversi presents an insightful look at the unregulated, anonymous, and easily accessible nature of the Internet and how it has been used to raise funds, recruit, train and promote acts of violence and disorder. This book will be a valuable resource for academics, researchers and policymakers with an interest in hate crime and the use of the internet as a means of incitement.
Hate On The Net
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Author : Commission canadienne des droits de la personne
language : en
Publisher:
Release Date : 2006
Hate On The Net written by Commission canadienne des droits de la personne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Antisemitism categories.
Countering Online Hate Speech
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Author : Gagliardone, Iginio
language : en
Publisher: UNESCO Publishing
Release Date : 2015-06-17
Countering Online Hate Speech written by Gagliardone, Iginio and has been published by UNESCO Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-17 with Education categories.
The opportunities afforded by the Internet greatly overshadow the challenges. While not forgetting this, we can nevertheless still address some of the problems that arise. Hate speech online is one such problem. But what exactly is hate speech online, and how can we deal with it effectively? As with freedom of expression, on- or offline, UNESCO defends the position that the free flow of information should always be the norm. Counter-speech is generally preferable to suppression of speech. And any response that limits speech needs to be very carefully weighed to ensure that this remains wholly exceptional, and that legitimate robust debate is not curtailed.
Untangling The Web Of Hate
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Author : Brett A. Barnett
language : en
Publisher: Cambria Press
Release Date : 2007
Untangling The Web Of Hate written by Brett A. Barnett and has been published by Cambria Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Freedom of speech categories.
The Internet has provided hate groups with a relatively easy and cost-effective way to make their rhetoric of hatred available to an audience of millions. Realizing the Internet's communication potential, hate groups have posted an increasing number of online "hate sites," websites containing content that disparages a particular class of people. As the number of Internet hate sites has increased, the U.S. government has been called upon to ban these controversial websites. This comprehensive study explores whether there is a First Amendment basis for regulating U.S.-based hate sites. It identifies the various First Amendment tests developed by the federal courts for assessing the constitutionality of both non-mass-mediated hateful speech and Internet content, then examines a sample of U.S.-based hate sites to ascertain whether they contain constitutionally proscribable content under those standards. The study is unique in that it examines websites maintained by several different kinds of U.S.-based hate groups: Ku Klux Klan, neo-Nazi, racist Skinhead, Christian Identity, Black separatist, neo-Confederate, White conservative, and pro-Jewish. Untangling the Web of Hate: Are Online "Hate Sites" Deserving of First Amendment Protection? is a valuable resource for anyone seeking to learn more about the content and constitutionality of Internet hate sites.
Free Speech And Hate Speech In The United States
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Author : Chris Demaske
language : en
Publisher: Routledge
Release Date : 2020-10-07
Free Speech And Hate Speech In The United States written by Chris Demaske and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-07 with Social Science categories.
Free Speech and Hate Speech in the United States explores the concept and treatment of hate speech in light of escalating social tensions in the global twenty-first century, proposing a shift in emphasis from the negative protection of individual rights toward a more positive support of social equality. Drawing on Axel Honneth’s theory of recognition, the author develops a two-tiered framework for free speech analysis that will promote a strategy for combating hate speech. To illustrate how this framework might impact speech rights in the U.S., she looks specifically at hate speech in the context of symbolic speech, disparaging speech, internet speech and speech on college campuses. Entering into an ongoing debate about the role of speech in society, this book will be of key importance to First Amendment scholars, and to scholars and students of communication studies, media studies, media law, political science, feminist studies, American studies, and history.
Social Media And Democracy
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Author : Nathaniel Persily
language : en
Publisher: Cambridge University Press
Release Date : 2020-09-03
Social Media And Democracy written by Nathaniel Persily and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-03 with Business & Economics categories.
A state-of-the-art account of what we know and do not know about the effects of digital technology on democracy.
Viral Hate
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Author : Abraham H. Foxman
language : en
Publisher: St. Martin's Press
Release Date : 2013-06-04
Viral Hate written by Abraham H. Foxman and has been published by St. Martin's Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-04 with Political Science categories.
Emboldened by anonymity, individuals and organizations from both left and right are freely spewing hateful vitriol on the Internet without worrying about repercussions.Lies, bullying, conspiracy theories, bigoted and racist rants, and calls for violence targeting the most vulnerable circulate openly on the web.And thanks to the guarantees of the First Amendment and the borderless nature of the Internet,governing bodies are largely helpless to control this massive assault on human dignity and safety. Abe Foxman and Christopher Wolf expose the threat that this unregulated flow of bigotry poses to the world.They explore how social media companies like Facebook and YouTube, as well as search engine giant Google, are struggling to reconcile the demands of business with freedom of speech and the disturbing threat posed by today's purveyors of hate. And they explain the best tools available to citizens, parents, educators, law enforcement officers, and policy makers toprotect thetwin values of transparency and responsibility. As Foxman and Wolf show, only an aroused and engaged citizenry can stop the hate contagion before it spirals out of control - with potentially disastrous results.
Fighting Hate And Bigotry On The Internet
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Author : Raphael Cohen-Almagor
language : en
Publisher:
Release Date : 2011
Fighting Hate And Bigotry On The Internet written by Raphael Cohen-Almagor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Hate speech is a specific type of online content that is designed to threaten certain groups publicly and act as propaganda for offline organizations. Hate groups use websites for sharing ideology, propaganda, link to similar sites, recruit new converts, advocate violence and threat others. The aim of this paper is to analyze the ways Nethate can be countered. It is written and argued in the realm of ethics, or rather applied ethics. It offers a discussion on moral and social responsibility. Unfortunately, this is a neglected issue in the New Media literature. This study focuses on articulating possible solutions to specific problems and on providing a framework within which these problems can be identified and resolved by accentuating moral and social responsibility. Section II introduces the underpinning concepts of this essay, moral and social responsibility. Section III discusses the targets of hate on the Internet. Finally, Section IV offers practical proposals to address this increasing problem and fight against it. Socially responsible people should not stand idly by while others are abusing the Net to discriminate and victimized their targets for hate.
Online Hate And Harmful Content
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Author : Teo Keipi
language : en
Publisher: Routledge
Release Date : 2016-12-08
Online Hate And Harmful Content written by Teo Keipi and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-08 with Social Science categories.
Over the past few decades, various types of hate material have caused increasing concern. Today, the scope of hate is wider than ever, as easy and often-anonymous access to an enormous amount of online content has opened the Internet up to both use and abuse. By providing possibilities for inexpensive and instantaneous access without ties to geographic location or a user identification system, the Internet has permitted hate groups and individuals espousing hate to transmit their ideas to a worldwide audience. Online Hate and Harmful Content focuses on the role of potentially harmful online content, particularly among young people. This focus is explored through two approaches: firstly, the commonality of online hate through cross-national survey statistics. This includes a discussion of the various implications of online hate for young people in terms of, for example, subjective wellbeing, trust, self-image and social relationships. Secondly, the book examines theoretical frameworks from the fields of sociology, social psychology and criminology that are useful for understanding online behaviour and online victimisation. Limitations of past theory are assessed and complemented with a novel theoretical model linking past work to the online environment as it exists today. An important and timely volume in this ever-changing digital age, this book is suitable for graduates and undergraduates interested in the fields of Internet and new media studies, social psychology and criminology. The analyses and findings of the book are also particularly relevant to practitioners and policy-makers working in the areas of Internet regulation, crime prevention, child protection and social work/youth work.
Hate Speech Detection And Sentiment Analysis Using Machine Learning And Deep Learning With Python Gui
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Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2023-08-04
Hate Speech Detection And Sentiment Analysis Using Machine Learning And Deep Learning With Python Gui written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Computers categories.
The purpose of this project is to develop a comprehensive Hate Speech Detection and Sentiment Analysis system using both Machine Learning and Deep Learning techniques. The project aims to create a robust and accurate system that can automatically identify hate speech in text data and perform sentiment analysis to determine the emotions and opinions expressed in the text. The project is designed to address the growing concern over the spread of hate speech and offensive content online. By implementing an automated detection system, it can help social media platforms, content moderators, and online communities to proactively identify and remove harmful content, fostering a safer and more inclusive online environment. Additionally, sentiment analysis plays a crucial role in understanding public opinions, customer feedback, and social media trends. By accurately predicting sentiment, businesses can make data-driven decisions, improve customer satisfaction, and gain valuable insights into consumer preferences. This project focuses on Hate Speech Detection and Sentiment Analysis using both Machine Learning and Deep Learning techniques. It begins with exploring the dataset, analyzing feature distributions, and predicting sentiment using Machine Learning models like Logistic Regression, Support Vector Machines, K-Nearest Neighbors, Decision Trees, Random Forests, Gradient Boosting, Extreme Gradient Boosting, Light Gradient Boosting, and AdaBoost, while optimizing their performance through Grid Search for hyperparameter tuning. Subsequently, Deep Learning LSTM and 1D CNN models are implemented for sentiment analysis to capture long-term dependencies and local patterns in the text data. The project starts with exploring the dataset, understanding its structure, and analyzing the distribution of classes for hate speech and sentiment labels. This initial step allows us to gain insights into the dataset and potential challenges. After exploring the data, the distribution of text features, such as word frequency and sentiment scores, is analyzed to identify any patterns or biases that could impact the model's performance. The dataset is then divided into training, validation, and testing sets to evaluate the models' generalization capabilities. Early stopping techniques are utilized during training to prevent overfitting and enhance model generalization. Performance evaluation involves calculating metrics like accuracy, precision, recall, and F1-score to gauge the models' effectiveness. Confusion matrices and visualizations provide further insights into model predictions and potential areas for improvement. A graphical user interface (GUI) is developed using PyQt to facilitate user interaction with the Hate Speech Detection and Sentiment Analysis system. Before training the Deep Learning models, the text data is tokenized and padded for uniform input sequences. The dataset is split into training and validation sets for model evaluation, and early stopping is used to prevent overfitting during training. The final system combines predictions from both Machine Learning and Deep Learning models to provide robust sentiment analysis results. The PyQt GUI allows users to input text and receive real-time sentiment analysis predictions. The LSTM and 1D CNN models, along with their optimized hyperparameters, are saved and deployed for future sentiment analysis tasks. Users can interact with the GUI, analyze sentiment in different texts, and provide feedback for continuous improvement of the Hate Speech Detection and Sentiment Analysis system.
