Concept

Journalistic objectivity

Related concepts (4)
News
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.
False balance
False balance, also bothsidesism, is a media bias in which journalists present an issue as being more balanced between opposing viewpoints than the evidence supports. Journalists may present evidence and arguments out of proportion to the actual evidence for each side, or may omit information that would establish one side's claims as baseless. False balance has been cited as a cause of misinformation. False balance is a bias which usually stems from an attempt to avoid bias and gives unsupported or dubious positions an illusion of respectability.
Media bias
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.
CNN
The Cable News Network (CNN) is a multinational news channel and website headquartered in Atlanta, Georgia, U.S. Founded in 1980 by American media proprietor Ted Turner and Reese Schonfeld as a 24-hour cable news channel, and presently owned by the Manhattan-based media conglomerate Warner Bros. Discovery (WBD), CNN was the first television channel to provide 24-hour news coverage and the first all-news television channel in the United States. As of February 2023, CNN had 80 million television households as subscribers in the US.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.