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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.
The two volume set LNCS 14958 + 14959 constitutes the proceedings of the 15th International Conference of the CLEF Association, CLEF 2024, held in Grenoble, France, during September 9–12, 2024. The proceedings contain 11 conference papers; 6 best of CLEF 2023 Labs' papers, and 14 Lab overview papers accepted from 45 submissions. In addition an overview paper on the CLEF activities in the last 25 years is included. The CLEF conference and labs of the evaluation forum deal with topics in information access from different perspectives, in any modality and language, focusing on experimental information retrieval (IR). .
In his nearly thirty years at CBS News, Emmy Award–winner Bernard Goldberg earned a reputation as one of the preeminent reporters in the television news business. When he looked at his own industry, however, he saw that the media far too often ignored their primary mission: objective, disinterested reporting. Again and again he saw that they slanted the news to the left. For years Goldberg appealed to reporters, producers, and network executives for more balanced reporting, but no one listened. The liberal bias continued. In this classic number one New York Times bestseller, Goldberg blew the whistle on the news business, showing exactly how the media slant their coverage while insisting they’re just reporting the facts.
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.
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.
This book constitutes the proceedings of the 14th International Conference on Information in Contemporary Society, iConference 2019, held in Washington, DC, USA, in March/April 2019. The 44 full papers and 33 short papers presented in this volume were carefully reviewed and selected from 133 submitted full papers and 88 submitted short papers. The papers are organized in the following topical sections: Scientific work and data practices; methodological concerns in (big) data research; concerns about “smart” interactions and privacy; identity questions in online communities; measuring and tracking scientific literature; limits and affordances of automation; collecting data about vulnerable populations; supporting communities through public libraries and infrastructure; information behaviors in academic environments; data-driven storytelling and modeling; online activism; digital libraries, curation and preservation; social-media text mining and sentiment analysis; data and information in the public sphere; engaging with multi-media content; understanding online behaviors and experiences; algorithms at work; innovation and professionalization in technology communities; information behaviors on Twitter; data mining and NLP; informing technology design through offline experiences; digital tools for health management; environmental and visual literacy; and addressing social problems in iSchool research.
In Partisan Journalism, Kuypers guides readers on a journey through American journalistic history, focusing on the warring notions of objectivity and partisanship.