Computational Analysis vs Curatorial Expertise

While some people believe that humans and machines are destined to compete against each other. Those in the media industry realise that the future of media isn’t going to be driven by companies who choose either man or machine—it’s going to be dominated by those that combine the efforts of editors and software that can anticipate reader trends and deliver what’s in demand. Accordingly, humans can anticipate big stories creating empathy with the reader. It is a human editor responding emotionally to a story who then has it delivered to the reader. Computers may digest information quicker, but they’re just scanning, what were their search parameters It should be considered that software’s are only as efficient as the humans that create them or use them and will therefore search using encoded biases. This daring symbiosis of humans and data-driven news feeds is a 21st century solution for media creation using computational analysis and curatorial expertise. When you consider the fact that many of these human are’ born Digital’ and have come to treat technology as an extensions of their own bodies, is not a stretch of the imagination. Many leading media companies that understand this are already building hybrid newsrooms using crowd sourced ‘tweets’ and images to appeal to new audience.
What has to be considered is how this is actually produced. The more people interact with a news app, the more it learns about them. This is essentially a news ‘cookie’ creating personalised news feeds that push popular though not necessarily newsworthy stories to the top. Higher approval ratings mean that a story will appear more prominently. Would an Editor/Curator wish to stop this, would they want to it is after all a business. This can be seen in the popularity of Content curation; the gathering, organizing and online presentation of content related to a particular theme or topic, see Pinterest. Generally a content curation site reproduces some of its own original content and links to allow followers to ‘share’. Other content curation sites also provide original content; with some curator backed interpretation and commentary. Those who criticise these content curation sites suggest that they are little more than marketing tools for interested parties; allowing for the practice of poor content creation, and little individual research on the part of the user. The prime purpose of content curation sites appears to be providing those using media for research and sales a real time snapshot of current trends on a particular topic.

The use of computational analysis can be seen as another ‘tool’ in 24hour global media. The news never stops. There was a time when ticker tape and telephones announced breaking news. Now software, scanning social media, using image or word search parameters can alert news agencies of every kind of story god or bad. There are very few places left in the world today were news can be hidden and when it is its usually by those with something too hide.
BIBLIOGRAPHY
Man vs. Algorithm: When Media Companies Need a Human Touch, http://mashable.com/2013/10/30/new-media-technology/#uqbQZO7ktkqq

Mc Dermott, J. Human vs. Machine Music Curation: Why We Need Anarchy In The A.I. http://www.hypebot.com/hypebot/2015/10/human-vs-machine-music-curation-why-we-need-anarchy-in-the-ai.html

Apple News vs. Flipboard: Best Curated News Service? http://www.knowyourmobile.com/mobile-phones/apple-news/23191/apple-news-vs-flipboard