A new INMA report by Martha Stone tackled the issues of how news media companies are using artificial intelligence.
These include "exponential leaps forward" in predictive analytics and content efficiencies.
"Artificial Intelligence: News media's next urgent investment" explores early uses of AI by data-focussed media pioneers: Long-term investors in the smart use of data analytics, these cutting-edge media companies now employ AI for social media virality, target advertising, gender and age identification, sentiment analysis, robo-journalism, speech recognition, automated news briefings, recommendation engines, content segmentation, and the identifying the legitimacy of content.
The report looks at AI and how is applies to media, and the issue of urgency, as well as challenges including ROI, language, and finding talent.
Other topics include natural language processing - such as robo-journalism, speech recognition and automated news briefings, sentiment analysis, and recommendation engines - predictive analytics to correlate metrics such as revenue to content usage, gender prediction, age prediction, social media virality, target advertising, and how people become subscribers, and the use of machine learning/neural networks to identify whether content is legitimate, elevate relevant content, and weed out spam.
Stone - who is chief executive of the World Newsmedia Network and founder of the Big Data For Media Conference - also discusses the emerging field of personalisation using AI for information crawling, social media analysis, user profiling, information modeling, and more.
And whether media companies should build their own AI components or buy - including recommendations for natural language processing, machine learning/neural networks, and predictive analytics.
Among media companies featured in report are the Washington Post, Financial Times, Schibsted, Mediacorp, Weather Channel, New York Times, and Newsday.
INMA offers the report free to members, or for US$795 including a year's membership and strategic reports. Details from www.inma.org/reports.cfm.