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  2. Journalistic objectivity - Wikipedia

    en.wikipedia.org/wiki/Journalistic_objectivity

    The transition from a political model of journalism to a commercial model requires the production of content that can be marketed across the political and ideological spectrum. The telegraph imposes pressures on journalists to prioritize the most important facts at the beginning of the story and adopt a simplified, homogenized and generic style ...

  3. Automated journalism - Wikipedia

    en.wikipedia.org/wiki/Automated_journalism

    Automated journalism, also known as algorithmic journalism or robot journalism, [1] [2] [3] is a term that attempts to describe modern technological processes that have infiltrated the journalistic profession, such as news articles and videos generated by computer programs.

  4. Advocacy journalism - Wikipedia

    en.wikipedia.org/wiki/Advocacy_journalism

    Advocacy journalism is a genre of journalism that adopts a non-objective viewpoint, usually for some social or political purpose. Some advocacy journalists reject the idea that the traditional ideal of objectivity is possible or practical, in part due to the perceived influence of corporate sponsors in advertising .

  5. Computer-assisted reporting - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted_reporting

    In the last 15 years, journalism organizations such as the National Institute for Computer-Assisted Reporting (NICAR, a program of Investigative Reporters and Editors) and the Danish International Center for Analytical Reporting (DICAR), have been created solely to promote the use of CAR in newsgathering.

  6. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Rediscovery of backpropagation causes a resurgence in machine learning research. 1990s: Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions – or "learn" – from the results. [2]

  7. Data-driven model - Wikipedia

    en.wikipedia.org/wiki/Data-driven_model

    Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]

  8. Theodore L. Glasser - Wikipedia

    en.wikipedia.org/wiki/Theodore_L._Glasser

    Instead of ever achieving objectivity, Glasser and co-author James Ettema were the first to demonstrate that norms of professional journalism amount to an attempt to "objectify morality" [2] According to Glasser, Journalists need to be overt and candid advocates for social justice, and it's hard to do that under the constraints of objectivity.

  9. Database journalism - Wikipedia

    en.wikipedia.org/wiki/Database_journalism

    Computer programmer Adrian Holovaty wrote what is now considered the manifesto of database journalism in September 2006. [2] In this article, Holovaty explained that most material collected by journalists is "structured information: the type of information that can be sliced-and-diced, in an automated fashion, by computers". [3]