Revealing Media Bias In News Articles

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.

"Committed, eloquent writings that plumb teh psychological and political complexities of mass-mediated experience." --San Francisco Chronicle "An essential text." --Utne Reader "More than helping to detect bias, "Unreliable Sources" tells the stories behind the stories called news. It should help build a national constituency for liberating media from all major constraints-- corporate as well as governmental." --George Gerbner, Dean Emeritus and Professor of Communications, The Annenberg School for Communications "You gotta love these guys. Not only have Lee and Solomon written a timely consumer primer on conservative bias in reporting, they've done it with humor." --Washington Journalism Review A vital handbook for deciphering widespread media bias. "Unreliable Sources" dissects news coverage of a wide range of issues-- taxes, the Persian Gulf, social security, abortion, drugs, environmental pollution, U.S.-Soviet relations, terrorism, the Third World-- and exposes the key stories that have been censored or glossed over by major media.

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.

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.

In this book, scholars examine the many prevailing arguments about media bias from a non-polemical perspective. Essays cover individual forms of bias, including ideology, politics, television, photography, religion, abortion, homosexuality, gender, race, crime, environment, region, military, corporate ownership, labor and health. Each essay introduces the topic, presents arguments for and against the specific bias, assesses the evidence for all arguments, and includes a list of suggested readings. Two additional essays discuss the broader aspects of the bias debate and give a personal perspective on reporting the controversial Israeli-Palestinian conflict. Instructors considering this book for use in a course may request an examination copy here.

This analysis of how the ability to participate in society online affects political and economic opportunity finds that technology use matters in wages and income and civic participation and voting. Just as education has promoted democracy and economic growth, the Internet has the potential to benefit society as a whole. Digital citizenship, or the ability to participate in society online, promotes social inclusion. But statistics show that significant segments of the population are still excluded from digital citizenship. The authors of this book define digital citizens as those who are online daily. By focusing on frequent use, they reconceptualize debates about the digital divide to include both the means and the skills to participate online. They offer new evidence (drawn from recent national opinion surveys and Current Population Surveys) that technology use matters for wages and income, and for civic engagement and voting. Digital Citizenship examines three aspects of participation in society online: economic opportunity, democratic participation, and inclusion in prevailing forms of communication. The authors find that Internet use at work increases wages, with less-educated and minority workers receiving the greatest benefit, and that Internet use is significantly related to political participation, especially among the young. The authors examine in detail the gaps in technological access among minorities and the poor and predict that this digital inequality is not likely to disappear in the near future. Public policy, they argue, must address educational and technological disparities if we are to achieve full participation and citizenship in the twenty-first century.