Tweeting Is Leading

: Introduction -- Rhetorical agendas : a new framework for Senate representation -- Communicating Congressional priorities in the digital age -- "Short, not-so-sweet, and to (some) point" : Senate Tweets in 2013 and 2015 -- Categorizing Senators' Tweets and styles of communication -- Putting policy first : building a reputation as a policy wonk -- All politics is local : senators prioritize constituent service -- Partisan agendas : two parties, two patterns of partisan rhetoric -- Prioritization and representation : a future for social media and agenda-setting.

Social media is changing the business of representation in the Senate. If you want to know what your senator is up to, you don't need a newspaper, just your phone. Some senators are social media minimalists while others are digitally long-winded, but each senator has the ability to insert themselves into our daily digital routines and frame their political brand for a public audience. Drawing on a unique dataset of almost 200,000 senator tweets, Tweeting is Leading offers a critical analysis of senators' communication on Twitter, the individual and constituent forces that shape it, and the agendas that result. The public priorities that senators communicate through social media--what Annelise Russell calls their rhetorical agenda--offer a necessary tool for understanding how senators link their carefully crafted public image with potential voters. The rhetorical agenda challenges what we know about representation, removing the institutional and political constraints on congressional communication and giving lawmakers a messaging platform where individual discretion is high, the relative costs are low, and someone is always watching. Tweeting is Leading emphasizes why representation on social media matters for understanding media norms and how lawmakers digitally build a political brand, showing empirically how senators self-constrain their communications to curate different styles of representation that match constituent expectations.

Using theory and data, Gainous and Wagner illustrate how online social media is bypassing traditional media and creating new forums for the exchange of political information and campaigning.

Social media is coming for you? ready or not. It might be a viral video or a rogue employee or a media query.Or it could be the POTUS, singling out your company in a 2 a.m. Twitter rant.So this little book will answer some big questions: Why does social media matter for CEOs and how do I do it right?

Silver Medal Winner, Social Networking, 2012 Axiom Business Book Awards Silver Medal Winner, Business and Leadership, 2012 Nautilus Book Awards The official word from Twitter on how to harness the power of the platform for any cause. As recent events in Japan, the Middle East, and Haiti have shown, Twitter offers a unique platform to connect individuals and influence change in ways that were unthinkable only a short time ago. In Twitter for Good, Claire Diaz Ortiz, Twitter’s head of corporate social innovation and philanthropy, shares the same strategies she offers to organizations launching cause-based campaigns. Filled with dynamic examples from initiatives around the world, this groundbreaking book offers practical guidelines for harnessing individual activism via Twitter as a force for social change. Reveals why every organization needs a dedicated Twitter strategy and explains how to set one Introduces the five-step model taught at trainings around the world: T.W.E.E.T. (Target, Write, Engage, Explore, Track) Author @claired is the head of corporate social innovation and philanthropy at Twitter, collaborating with organizations like Nike, Pepsi, MTV, the American Red Cross, charity:water, Room to Read, the Gates Foundation, the Skoll Foundation, the Case Foundation, National Wildlife Federation, Kiva, the United Nations, Free the Children, Committee to Protect Journalists, Partners in Health, FEMA, Ushahidi, The Acumen Fund With more than 200 million users worldwide, Twitter has established itself as a dynamic force, one that every business and nonprofit must understand how to use effectively.

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.

This “well-researched, nuanced” study of the rise of social media activism explores how marginalized groups use Twitter to advance counter-narratives, preempt political spin, and build diverse networks of dissent (Ms.) The power of hashtag activism became clear in 2011, when #IranElection served as an organizing tool for Iranians protesting a disputed election and offered a global audience a front-row seat to a nascent revolution. Since then, activists have used a variety of hashtags, including #JusticeForTrayvon, #BlackLivesMatter, #YesAllWomen, and #MeToo to advocate, mobilize, and communicate. In this book, Sarah Jackson, Moya Bailey, and Brooke Foucault Welles explore how and why Twitter has become an important platform for historically disenfranchised populations, including Black Americans, women, and transgender people. They show how marginalized groups, long excluded from elite media spaces, have used Twitter hashtags to advance counternarratives, preempt political spin, and build diverse networks of dissent. The authors describe how such hashtags as #MeToo, #SurvivorPrivilege, and #WhyIStayed have challenged the conventional understanding of gendered violence; examine the voices and narratives of Black feminism enabled by #FastTailedGirls, #YouOKSis, and #SayHerName; and explore the creation and use of #GirlsLikeUs, a network of transgender women. They investigate the digital signatures of the “new civil rights movement”—the online activism, storytelling, and strategy-building that set the stage for #BlackLivesMatter—and recount the spread of racial justice hashtags after the killing of Michael Brown in Ferguson, Missouri, and other high-profile incidents of killings by police. Finally, they consider hashtag created by allies, including #AllMenCan and #CrimingWhileWhite.

One of Cosmo's Best YA Novels of All Time A fresh, irresistible rom-com from debut author Emma Lord about the chances we take, the paths life can lead us on, and how love can be found in the opposite place you expected. Meet Pepper, swim team captain, chronic overachiever, and all-around perfectionist. Her family may be falling apart, but their massive fast-food chain is booming — mainly thanks to Pepper, who is barely managing to juggle real life while secretly running Big League Burger’s massive Twitter account. Enter Jack, class clown and constant thorn in Pepper’s side. When he isn’t trying to duck out of his obscenely popular twin’s shadow, he’s busy working in his family’s deli. His relationship with the business that holds his future might be love/hate, but when Big League Burger steals his grandma’s iconic grilled cheese recipe, he’ll do whatever it takes to take them down, one tweet at a time. All’s fair in love and cheese — that is, until Pepper and Jack’s spat turns into a viral Twitter war. Little do they know, while they’re publicly duking it out with snarky memes and retweet battles, they’re also falling for each other in real life — on an anonymous chat app Jack built. As their relationship deepens and their online shenanigans escalate — people on the internet are shipping them?? — their battle gets more and more personal, until even these two rivals can’t ignore they were destined for the most unexpected, awkward, all-the-feels romance that neither of them expected. "A witty rom-com reinvention ... with deeply relatable insights on family pressure and growing up.” - Emily Wibberley and Austin Siegemund-Broka, authors of Always Never Yours and If I’m Being Honest “An adorable debut that updates a classic romantic trope with a buzzy twist." - Jenn Bennett, author of Alex, Approximately and Serious Moonlight

Since its launch in 2006, Twitter has evolved from a niche service to a mass phenomenon; it has become instrumental for everyday communication as well as for political debates, crisis communication, marketing, and cultural participation. But the basic idea behind it has stayed the same: users may post short messages (tweets) of up to 140 characters and follow the updates posted by other users. Drawing on the experience of leading international Twitter researchers from a variety of disciplines and contexts, this is the first book to document the various notions and concepts of Twitter communication, providing a detailed and comprehensive overview of current research into the uses of Twitter. It also presents methods for analyzing Twitter data and outlines their practical application in different research contexts.

A brilliant probe into the political and psychological effects of our changing relationship with social media Former social media executives tell us that the system is an addiction-machine. We are users, waiting for our next hit as we like, comment and share. We write to the machine as individuals, but it responds by aggregating our fantasies, desires and frailties into data, and returning them to us as a commodity experience. The Twittering Machine is an unflinching view into the calamities of digital life: the circus of online trolling, flourishing alt-right subcultures, pervasive corporate surveillance, and the virtual data mines of Facebook and Google where we spend considerable portions of our free time. In this polemical tour de force, Richard Seymour shows how the digital world is changing the ways we speak, write, and think. Through journalism, psychoanalytic reflection and insights from users, developers, security experts and others, Seymour probes the human side of the machine, asking what we’re getting out of it, and what we’re getting into. Social media held out the promise that we could make our own history–to what extent did we choose the nightmare that it has become?