Media bias is the bias of journalists and news producers within the mass media in the selection of many events and stories that are reported and how they are covered. The term "media bias" implies a pervasive or widespread bias contravening of the standards of journalism, rather than the perspective of an individual journalist or article. The direction and degree of media bias in various countries is widely disputed.
Practical limitations to media neutrality include the inability of journalists to report all available stories and facts, and the requirement that selected facts be linked into a coherent narrative. Government influence, including overt and covert censorship, biases the media in some countries, for example China, North Korea, Syria and Myanmar. Politics and media bias may interact with each other; the media has the ability to influence politicians, and politicians may have the power to influence the media. This can change the distribution of power in society. Market forces may also cause bias. Examples include bias introduced by the ownership of media, including a concentration of media ownership, the subjective selection of staff, or the perceived preferences of an intended audience.
There are a number of national and international watchdog groups that report on bias of the media.
The most commonly discussed types of bias occur when the (allegedly partisan) media support or attack a particular political party, candidate, or ideology.
In 2000, D'Alessio and Allen studied three possible sources of media bias:
Coverage bias when media choose to report only negative news about one party or ideology,
Gatekeeping bias (also known as selectivity or selection bias), when stories are selected or deselected, sometimes on ideological grounds (see spike). It is sometimes also referred to as agenda bias, when the focus is on political actors and whether they are covered based on their preferred policy issues.
Statement bias (also known as tonality bias or presentation bias), when media coverage is slanted towards or against particular actors or issues.
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This course provides attendees with theoretical and practical issues in media security. In addition to lectures by the professor, the course includes laboratory sessions, a mini-project, and a mid-ter
L'objectif du cours est que les étudiants acquièrent les bases théoriques et méthodologiques d'une approche sociologique des médias (particulièrement des médias sportifs) et qu'ils puissent s'en servi
The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Facebook, Twitter, and YouTu
News is information about current events. This may be provided through many different media: word of mouth, printing, postal systems, broadcasting, electronic communication, or through the testimony of observers and witnesses to events. News is sometimes called "hard news" to differentiate it from soft media. Common topics for news reports include war, government, politics, education, health, the environment, economy, business, fashion, entertainment, and sport, as well as quirky or unusual events.
Fake news is false or misleading information presented as news. Fake news often has the aim of damaging the reputation of a person or entity, or making money through advertising revenue. Although false news has always been spread throughout history, the term "fake news" was first used in the 1890s when sensational reports in newspapers were common. Nevertheless, the term does not have a fixed definition and has been applied broadly to any type of false information.
Mass media includes the diverse arrays of media that reach a large audience via mass communication. Broadcast media transmit information electronically via media such as films, radio, recorded music, or television. Digital media comprises both Internet and mobile mass communication. Internet media comprise such services as email, social media sites, websites, and Internet-based radio and television. Many other mass media outlets have an additional presence on the web, by such means as linking to or running TV ads online, or distributing QR codes in outdoor or print media to direct mobile users to a website.
Explores analytical and Monte Carlo solutions for radiative heat transfer in isotropically scattering media at radiative equilibrium between gray and diffuse walls.
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We propose an interpretable model to score the subjective bias present in documents, based only on their textual content. Our model is trained on pairs of revisions of the same Wikipedia article, where one version is more biased than the other. Although pr ...
2024
We conduct two survey experiments to study which information people choose to consume and how it affects their beliefs. In the first experiment, respondents choose between optimistic and pessimistic article headlines related to the COVID-19 pandemic and ar ...
2024
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There is a bias in the inference pipeline of most diffusion models. This bias arises from a signal leak whose distribution deviates from the noise distribution, creating a discrepancy between training and inference processes. We demonstrate that this signa ...