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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The Perspective API, a popular text toxicity assessment service by Google andJigsaw, has found wide adoption in several application areas, notably contentmoderation, monitoring, and social media research. We examine its potentialsand limitations for the detection of antisemitic online content that, bydefinition, falls under the toxicity umbrella term. Using a manually annotatedGerman-language dataset comprising around 3,600 posts from Telegram andTwitter, we explore as how toxic antisemitic texts are rated and how thetoxicity scores differ regarding different subforms of antisemitism and thestance expressed in the texts. We show that, on a basic level, Perspective APIrecognizes antisemitic content as toxic, but shows critical weaknesses withrespect to non-explicit forms of antisemitism and texts taking a criticalstance towards it. Furthermore, using simple text manipulations, we demonstratethat the use of widespread antisemitic codes can substantially reduce APIscores, making it rather easy to bypass content moderation based on theservice's results.

How toxic is antisemitism? Potentials and limitations of automated toxicity scoring for antisemitic online content