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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.
“Amid the ugly realities of contemporary America, American Hate affirms our courage and inspiration, opening a roadmap to reconciliation by means of the victims' own words.” —NPR Books “The collection offers possible solutions for how people, on their own or working with others, can confront hate.” —San Francisco Chronicle An NPR Best Book of 2018 A San Francisco Chronicle Books Pick One of Bitch Media's “13 Books Feminists Should Read in August” One of Paste Magazine's “The 10 Best Books of August 2018” A moving and timely collection of testimonials from people impacted by hate before and after the 2016 presidential election In American Hate: Survivors Speak Out, Arjun Singh Sethi, a community activist and civil rights lawyer, chronicles the stories of individuals affected by hate. In a series of powerful, unfiltered testimonials, survivors tell their stories in their own words and describe how the bigoted rhetoric and policies of the Trump administration have intensified bullying, discrimination, and even violence toward them and their communities. We hear from the family of Khalid Jabara, who was murdered in Tulsa, Oklahoma, in August 2016 by a man who had previously harassed and threatened them because they were Arab American. Sethi brings us the story of Jeanette Vizguerra, an undocumented mother of four who took sanctuary in a Denver church in February 2017 because she feared deportation under Trump's cruel immigration enforcement regime. Sethi interviews Taylor Dumpson, a young black woman who was elected student body president at American University only to find nooses hanging across campus on her first day in office. We hear from many more people impacted by the Trump administration, including Native, black, Arab, Latinx, South Asian, Southeast Asian, Muslim, Jewish, Sikh, undocumented, refugee, transgender, queer, and people with disabilities. A necessary book for these times, American Hate explores this tragic moment in U.S. history by empowering survivors whose voices white supremacists and right-wing populist movements have tried to silence. It also provides ideas and practices for resistance that all of us can take to combat hate both now and in the future.
In this book, the authors, all legal scholars from the tradition of critical race theory start from the experience of injury from racist hate speech and develop a theory of the first amendment that recognizes such injuries. In their critique of "first amendment orthodoxy", the authors argue that only a history of racism can explain why defamation, invasion of privacy and fraud are exempt from free-speech guarantees but racist verbal assault is not.
This book explores the nature of hate speech on social media. Readers will find chapters written by 21 authors from 18 universities or research centers. It includes researchers from 11 countries, prioritizing a diversity of approaches from the Global North and Global South – Brazil, Cyprus, Ethiopia, Germany, Nigeria, Portugal, South Africa, Spain, Switzerland, Turkey, and the USA. The analyses herein involve the realities in an even larger number of countries, given the transnational approach of some of these studies. One can find a preview of the chapters at the beginning of the book, with abstracts organized in a separate section. It is evident that the authors study the impact of recent events on hate speech – the Covid-19 pandemic, Russia- Ukraine war, the refugee crisis – and recurrent attacks on minority groups such as women, immigrants, or the LGBTQ+ community. The authors employ classic and digital research methods, using quantitative and qualitative data gathered from platforms like Telegram, Facebook, Instagram, Twitter, and YouTube. As a result, readers will encounter taxonomic proposals, new methodological approaches, theoretical frameworks, and mapping of behavioral patterns.
This book is open access under a CC BY 4.0 license and reports on research carried out as part of the European Union co-funded C.O.N.T.A.C.T. project which targeted hate speech and hate crime across a number of EU member states. It showcases the bearing that discourse analytic research can have on our understanding of this phenomenon that is a growing global cause for concern. Although ‘hate speech’ is often incorporated in legal and policy documents, there is no universally accepted definition, which in itself warrants research into how hatred is both expressed and perceived. The research project synthesises discourse analytic and corpus linguistics techniques, and presents its key findings here. The focus is especially on online comments posted in reaction to news items that could trigger discrimination, as well as on the folk perception of online hate speech as revealed through semi-structured interviews with young individuals across the various partner countries.
The instant New York Times bestseller from Chris Cleave—the unforgettable novel about three lives entangled during World War II, told “with dazzling prose, sharp English wit, and compassion…a powerful portrait of war’s effects on those who fight and those left behind” (People, Book of the Week). London, 1939. The day war is declared, Mary North leaves finishing school unfinished, goes straight to the War Office, and signs up. Tom Shaw decides to ignore the war—until he learns his roommate Alistair Heath has unexpectedly enlisted. Then the conflict can no longer be avoided. Young, bright, and brave, Mary is certain she’d be a marvelous spy. When she is—bewilderingly—made a teacher, she finds herself defying prejudice to protect the children her country would rather forget. Tom, meanwhile, finds that he will do anything for Mary. And when Mary and Alistair meet, it is love, as well as war, that will test them in ways they could not have imagined, entangling three lives in violence and passion, friendship, and deception, inexorably shaping their hopes and dreams. The three are drawn into a tragic love triangle and—as war escalates and bombs begin falling—further into a grim world of survival and desperation. Set in London during the years of 1939–1942, when citizens had slim hope of survival, much less victory; and on the strategic island of Malta, which was daily devastated by the Axis barrage, Everyone Brave is Forgiven features little-known history and a perfect wartime love story inspired by the real-life love letters between Chris Cleave’s grandparents. This dazzling novel dares us to understand that, against the great theater of world events, it is the intimate losses, the small battles, the daily human triumphs that change us most.
Media have played an important role in framing the public debate on the “refugee crisis” that peaked in autumn of 2015. This report examines the narratives developed by print media in eight European countries and how they contributed to the public perception of the “crisis”, shifting from careful tolerance over the summer, to an outpouring of solidarity and humanitarianism in September 2015, and to a securitisation of the debate and a narrative of fear in November 2015. Overall, there has been limited opportunity in mainstream media coverage for refugees and migrants to give their views on events, and little attention paid to the individuals’ plight or the global and historical context of their displacement. Refugees and migrants are often portrayed as an undistinguishable group of anonymous and unskilled outsiders who are either vulnerable or dangerous. The dissemination of biased or ill-founded information contributes to perpetuating stereotypes and creating an unfavourable environment not only for the reception of refugees but also for the longer-term perspectives of societal integration.
Anita Whitney was a child of wealth and privilege who became a vocal leftist early in the twentieth century, supporting radical labor groups such as the Wobblies and helping to organize the Communist Labor Party. In 1919 she was arrested and charged with violating California's recently passed laws banning any speech or activity intended to change the American political and economic systems. The story of the Supreme Court case that grew out of Whitney's conviction, told in full in this book, is also the story of how Americans came to enjoy the most liberal speech laws in the world. In clear and engaging language, noted legal scholar Philippa Strum traces the fateful interactions of Whitney, a descendant of Mayflower Pilgrims; Supreme Court Justice Louis D. Brandeis, a brilliant son of immigrants; the teeming immigrant neighborhoods and left wing labor politics of the early twentieth century; and the lessons some Harvard Law School professors took from World War I–era restrictions on speech. Though the Supreme Court upheld Whitney's conviction, it included an opinion by Justice Brandeis—joined by Justice Oliver Wendell Holmes, Jr.—that led to a decisive change in the way the Court understood First Amendment free speech protections. Speaking Freely takes us into the discussions behind this dramatic change, as Holmes, Brandeis, Judge Learned Hand, and Harvard Law professors Zechariah Chafee and Felix Frankfurter debate the extent of the First Amendment and the important role of free speech in a democratic society. In Brandeis's opinion, we see this debate distilled in a statement of the value of free speech and the harm that its suppression does to a democracy, along with reflections on the importance of freedom from government control for the founders and the drafters of the First Amendment. Through Whitney v. California and its legacy, Speaking Freely shows how the American approach to speech, differing as it does that of every other country, reflects the nation's unique history. Nothing less than a primer in the history of free speech rights in the US, the book offers a sobering and timely lesson as fear once more raises the specter of repression.