AI in Journalism: With Power Come Responsibilities

Media organizations worldwide are increasingly using artificial intelligence for information gathering, storytelling, and news distribution. Journalist Bennie Mols writes that given the potential transformative power of AI in journalism media organizations must consider how best to use it to fulfill their mission while reflecting on the impacts that AI has on democracy, diversity, and public values.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are the top data journalism tweets for Apr 3-9, per our NodeXL mapping: #fakenews guide (@PublicDataLab); election bots (@d1gi); data story rules (@surendranb); China climate risk (@nytimes); UK jobs (@sole24ore); #PerugiaPledge (@dw_innovation); & more.

One Problem, Many Dimensions: Tips on Covering Poverty

There are many different concepts and definitions of poverty. According to the Oxford University Poverty and Human Development Initiative, ‘Poverty is often defined by one-dimensional measures, such as income. But no one indicator alone can capture the multiple aspects that constitute poverty. Multidimensional poverty is made up of several factors that constitute poor people’s experience of deprivation–such as poor health, lack of education, inadequate living standard, lack of income (as one of several factors considered), disempowerment, poor quality of work and threat from violence.’