In this study, we propose a novel approach to detect supply-side media bias, independent of external factors like ownership or editors' ideological leanings. Analyzing over 100,000 articles from The New York Times (NYT) and The Wall Street Journal (WSJ), complemented by data from 22 million...

Previous literature has suggested that newspaper publishers should optimize how they advertise their online subscriptions. However, empirical findings on the effectiveness of advertising messages in increasing people’s willingness to pay for such online subscriptions are still rare. Therefore,...

This research examines the impact of the Covid-19 pandemic on the newspaper business model innovation (BMI). The results of this study prove that the impact of the pandemic has a positive effect on BMI. The impact of the pandemic has also been shown to have a positive influence on newspapers...

The internet has challenged the traditional news publisher business model by increasing competition for audiences and advertising revenue. Publishers have responded by seeking revenue transfers from the large, profitable digital platforms including Google and Meta's Facebook. But the loser in an...

We measure immigrant narratives in German newspapers and assign each sentence to one of seven themes. Using natural language processing (NLP) tools and customized dictionaries, we analyze over 100,000 articles. 45 percent of narratives are on Foreign Religion, 23 percent on Cultural Integration,...