Guides students on the path to a career working in journalism. Job profiles include cartoonists and illustrators, columnists/commentators, critics, editors, photo editors, and reporters.

Technology has disrupted the news industry--its relationships, forms, and business models--but also provides no end of opportunities for improving, expanding, reimagining, and sustaining journalism.

From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in which news is created by algorithm. Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories—increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human–algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.

This monograph examines how bias affects the perception of journalists and discusses factors which might exacerbate or mitigate such bias. The book recommends the study of journalistic decision-making from perspectives developed in the field of social psychology. The book includes the following chapters: (1) "Media Bias, Cognitive Bias?"; (2) "Cognitive Processes in Journalism: An Overview"; (3) "Categorization"; (4) "Theory Generation"; (5) "Theory Testing"; (6) "Selection of Information"; (7) "Integration of Information"; (8) "Interactions and Perseverance of Biases and Errors"; (9) "Implications for the Study of Newswork"; and (10) "Summary and Conclusions." Forty-one end notes and 16 pages of references are attached. (MS)

When we encounter a news story, why do we accept its version of events? Why do we even recognize it as news? A complicated set of cultural, structural, and technological relationships inform this interaction, and Journalistic Authority provides a relational theory for explaining how journalists attain authority. The book argues that authority is not a thing to be possessed or lost, but a relationship arising in the connections between those laying claim to being an authority and those who assent to it. Matt Carlson examines the practices journalists use to legitimate their work: professional orientation, development of specific news forms, and the personal narratives they circulate to support a privileged social place. He then considers journalists' relationships with the audiences, sources, technologies, and critics that shape journalistic authority in the contemporary media environment. Carlson argues that journalistic authority is always the product of complex and variable relationships. Journalistic Authority weaves together journalists’ relationships with their audiences, sources, technologies, and critics to present a new model for understanding journalism while advocating for practices we need in an age of fake news and shifting norms.

The author of The Egg and I continues her hilariously candid memoir series as she enters the job market at the worst possible time—the Great Depression. “The best thing about the Depression was the way it reunited our family and gave my sister Mary a real opportunity to prove that anybody can do anything, especially Betty.” So begins Betty MacDonald’s singular chronicle of trying to make ends meet amid the worst economic downturn in American history. After surviving both the failed chicken farm - and marriage - immortalized in The Egg and I, Betty MacDonald returns to live with her mother and desperately searches to find a job to support her two young daughters. With the help of her older sister Mary, Anybody Can Do Anything recounts her failed, and often hilarious, attempts to find work during the Great Depression.

When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field. This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both. Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizations Explore in-depth case studies on elections, riots, school performance, and corruption Learn how to find data from the Web, through freedom of information laws, and by "crowd sourcing" Extract information from raw data with tips for working with numbers and statistics and using data visualization Deliver data through infographics, news apps, open data platforms, and download links