When analyzing digital journalism content, journalism scholars are confronted with a
number of substantial differences compared to traditional journalistic content. The sheer …

Many have envisioned the use of AI methods to find hidden patterns of public interest in
large volumes of data, greatly reducing the cost of investigative journalism. But so far only a …

We live in a world in which Google's search algorithms determine how we access
information, Facebook's News Feed algorithms shape how we socialize, and Netflix …

What is Digital Journalism Studies? delves into the technologies, platforms, and audience
relations that constitute digital journalism studies' central objects of study, outlining its …

In recent years, news media has been greatly disrupted by the potential of technologically
driven approaches in the creation, production, and distribution of news products and …

The growing use of difficult-to-parse algorithmic systems in the production of news, from
algorithmic curation to automated writing and news bots, problematizes the normative turn …

We have promoted a hierarchy of influences model for understanding the complex factors
shaping media—particularly news—content: from the individual to social-system level …

As a descriptor, artificial intelligence (AI) is polysemous and problematic. Like the muddled
“big data” before it, this term du jour tends to be invoked broadly and haphazardly, by …

With software automatically producing texts in natural language from structured data, the
evolution of natural language generation (NLG) is changing traditional news production. The …

The boom in artificial intelligence and automated technology in the journalistic profession
has given rise to what are called synthetic media (Crusafon, 2022), media outlets that …