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 purpose of a clickbait is to make a link so appealing that people clickon it. However, the content of such articles is often not related to the title,shows poor quality, and at the end leaves the reader unsatisfied.  To help the readers, the organizers of the clickbait challenge(http://www.clickbait-challenge.org/) asked the participants to build a machinelearning model for scoring articles with respect to their "clickbaitness".  In this paper we propose to solve the clickbait problem with an ensemble ofLinear SVM models, and our approach was tested successfully in the challenge:it showed great performance of 0.036 MSE and ranked 3rd among all the solutionsto the contest.

Identifying Clickbait Posts on Social Media with an Ensemble of Linear Models