ARTS1091 Lecture Notes - Lecture 11: Data Journalism, University Of New South Wales, The Algorithm
20 Oct 2018
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Document Summary
What does it mean to have quality journalism: trustworthiness, non-bias, would not pay for journalism if we can access it for free, there is more trust in organisations than individuals. Algorithms and journalism: tweeting: the algorithm is programmed to look for fiery words, determine what is trending, https://phys. org/news/2018-07-fake-news-algorithms-dock. html. Fake news is reality: who is the watchdog, who is watching the watch dog. We are more cynical of news: growing up with different media platforms and knowing that different news sources will say different things, the traditional business model for journalism is failing but is not dead. Case study: kids stuck in the cave news, 90% of that news came from the people on the group. People are able to participate in news but they are not professional and this in tern has implications: once you are told something it is difficult to determine truth from fact. Note: data journalism: news rooms are making use of mass data.
