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

Social media offers a unique window into attitudes like racism andhomophobia, exposure to which are important, hard to measure and understudiedsocial determinants of health. However, individual geo-located observationsfrom social media are noisy and geographically inconsistent. Existing areas bywhich exposures are measured, like Zip codes, average over irrelevantadministratively-defined boundaries. Hence, in order to enable studies ofonline social environmental measures like attitudes on social media and theirpossible relationship to health outcomes, first there is a need for a method todefine the collective, underlying degree of social media attitudes by region.To address this, we create the Socio-spatial-Self organizing map, "SS-SOM"pipeline to best identify regions by their latent social attitude from Twitterposts. SS-SOMs use neural embedding for text-classification, and augmenttraditional SOMs to generate a controlled number of non-overlapping,topologically-constrained and topically-similar clusters. We find that not onlyare SS-SOMs robust to missing data, the exposure of a cohort of men who aresusceptible to multiple racism and homophobia-linked health outcomes, changesby up to 42% using SS-SOM measures as compared to using Zip code-basedmeasures.

Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes