This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage’s different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias. This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.

A leading political science professor provides scientific proof of media bias in this sure-to-be-controversial book Dr. Tim Groseclose, a professor of political science and economics at UCLA, has spent years constructing precise, quantitative measures of the slant of media outlets. He does this by measuring the political content of news, as a way to measure the PQ, or "political quotient" of voters and politicians. Among his conclusions are: (i) all mainstream media outlets have a liberal bias; and (ii) while some supposedly conservative outlets—such the Washington Times or Fox News' Special Report—do lean right, their conservative bias is less than the liberal bias of most mainstream outlets. Groseclose contends that the general leftward bias of the media has shifted the PQ of the average American by about 20 points, on a scale of 100, the difference between the current political views of the average American, and the political views of the average resident of Orange County, California or Salt Lake County, Utah. With Left Turn readers can easily calculate their own PQ—to decide for themselves if the bias exists. This timely, much-needed study brings fact to this often overheated debate.

In Partisan Journalism, Kuypers guides readers on a journey through American journalistic history, focusing on the warring notions of objectivity and partisanship.

Widely acclaimed and hotly contested, veteran journalist Eric Alterman's ambitious investigation into the true nature of the U.S. news media touched a nerve and sparked debate across the country. As the question of whose interests the media protects-and how-continues to raise hackles, Alterman's sharp, utterly convincing assessment cuts through the cloud of inflammatory rhetoric, settling the question of liberal bias in the news once and for all. Eye-opening, witty, and thoroughly and solidly researched, What Liberal Media? is required reading for media watchers, and anyone concerned about the potentially dangerous consequences for the future of democracy in America.