Here’s a great place to start learning about how algorithms can enhance your work: A Columbia Journalism School professor has shared his course syllabus online, complete with exercises and examples of how algorithms have been used by journalists.
Many in the journalistic profession fear Artificial Intelligence will leave them without a job. But AI could become the savior of the trade, making it possible to better cover the increasingly complex, globalized and information-rich world we live in. Open Society Foundations’ María Teresa Ronderos writes about the ways some of the world’s newsrooms are using it now.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 31, 2018 to Jan 6, 2019 finds experts sharing their thoughts on machine learning in journalism with @storybench, @funkeinterativ and @webk1d’s useful tool to merge datasets, @pewresearch’s overview of female under-representation in online image searches, and an analysis by @EDNNews on corpses bodies sent back to El Salvador.
Is personalization the next revolution in the news industry? John S Knight Journalism Fellow Titus Plattner argues that at a time when more and more news outlets are shifting from an advertising-based revenue model to a subscription based model, personalization is the best way to reinforce the relation to the real client.
At the recent European Investigative Journalism and Dataharvest conference, Nicholas Diakopoulos spoke about the emergence of algorithmic accountability reporting, and how it applies the core journalistic functions of watchdogging and investigative reporting to algorithms.
