ABC-ng (next generation) is an idea provoking look at what the constantly evolving landscape of the media may look like and involve in the near future. It is broken up into two parts, with the first focussed on machine learning and the second on VR (virtual reality).
Machine learning can be very powerful if fully utilised creatively. Taking the ABC News Just In RSS feed, the article titles are analysed for their sentiment. All 250 articles listed are added to to get a total score and then averaged to see what the trend is. The ABC shouldn't be coming up with "click-bait" or sensationalist titles but be as impartial as possible, providing facts and clear observations on society. For example, if the underlying tone of a majority of articles is negative with lots of mentions of wars, deaths and innjustices around the world then society may become desensitized; yet on the other hand if every article is overly positive it may not reflect reality and the ABC may be looking at society through rose-coloured glasses. So the right balance is necessary to inform the public.
Other uses of machine learning could include using it client side to determine users particular areas of interest based on past usage of the ABC website/app, determining what makes an article highly sharable etc.
There is a growing amount of VR content and so I thought what could the ABC website look like in VR? The demo is unforunately not interactive due to the time constraints of this GovHack and the early state of web based VR, but it works on mobile browsers and utilises Mozilla's A-Frame library. What the future of VR brings for news and storytelling is limited only by our creativity and I hope the ABC begins to start looking at investing in this new area.