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

The rise of social media platforms has fundamentally altered the publicdiscourse by providing easy to use and ubiquitous forums for the exchange ofideas and opinions. Elected officials often use such platforms forcommunication with the broader public to disseminate information and engagewith their constituencies and other public officials. In this work, weinvestigate whether Twitter conversations between legislators reveal theirreal-world position and influence by analyzing multiple Twitter networks thatfeature different types of link relations between the Members of Parliament(MPs) in the United Kingdom and an identical data set for politicians withinIreland. We develop and apply a matrix factorization technique that allows theanalyst to emphasize nodes with contextual local network structures byspecifying network statistics that guide the factorization solution. Leveragingonly link relation data, we find that important politicians in Twitter networksare associated with real-world leadership positions, and that rankings from theproposed method are correlated with the number of future media headlines.

Analysis of multiview legislative networks with structured matrix factorization: Does Twitter influence translate to the real world?