English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this work we develop a series of techniques to quantify the presence ofbias and censorship in newspapers. These algorithms are tested analyzing theoccurrence of keywords `killed' and `suicide' (`morti', `suicidio' in Italian)and their changes over time, gender and reported location on the completeonline archives (42 million records) of the major US newspaper (The New YorkTimes) and the three major Italian ones (Il Corriere della Sera, La Repubblica,La Stampa). Since the Italian language distinguishes between the female andmale cases, we find the presence of gender bias in all Italian newspapers, withreported single female deaths to be about one-third of those involving singlemen. We show evidence of censorship in Italian newspapers both during World War1 and during the Italian Fascist regime. Censorship in all countries duringWorld Wars and in Italy during the Fascist period is a historically ascertainedfact, but so far there was no estimate on the amount on censorship in newspaperreporting: in this work we estimate that about $75\%$ of domestic deaths andsuicides were not reported. This is also confirmed by statistical analysis ofthe distribution of the least significant digit of the number of reporteddeaths.  We also find that the distribution function of the number of articles vs. thenumber of deaths reported in articles follows a power law, which is broken(with fewer articles being written) when reporting on few deaths occurring inforeign countries. The lack of articles is found to grow with geographicaldistance from the nation where the newspaper is being printed.

Large scale analysis of violent death count in daily newspapers to quantify bias and censorship