Advanced Certificate in Algorithmic Accountability in News
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⢠Advanced Algorithmic Analysis: Understanding the inner workings of algorithms and their impact on news production and consumption.
⢠Bias in Algorithms: Identifying and addressing algorithmic bias in news aggregation and recommendation systems.
⢠Ethics in Algorithmic Accountability: Examining the ethical implications of algorithmic decision-making in news reporting.
⢠News Automation and AI: The role of artificial intelligence in news production and its impact on journalism.
⢠Data Journalism and Algorithms: Using data analysis and algorithms to uncover news stories and inform journalistic decisions.
⢠Legal Aspects of Algorithmic Accountability: Understanding the legal frameworks governing algorithmic decision-making in news.
⢠Transparency and Explainability in Algorithms: Strategies for increasing transparency and explainability in news algorithms.
⢠Algorithmic Auditing: Techniques for auditing news algorithms for bias, accuracy, and fairness.
⢠Algorithmic Literacy for Journalists: Building algorithmic literacy for journalists to better understand and report on algorithmic decision-making in news.
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