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

Since recommender systems have been created and developed to automate therecommendation process, users can easily consume their desired video content ononline platforms. In this line, several content recommendation algorithms areintroduced and employed to allow users to encounter content of their interests,effectively. However, the recommendation systems sometimes regrettablyrecommend inappropriate content, including misinformation or fake news. To makeit worse, people would unreservedly accept such content due to their cognitiveheuristic, machine heuristic, which is the rule of thumb that machines are moreaccurate and trustworthy than humans. In this study, we designed and conducteda web-based experiment where the participants are invoked machine heuristic byexperiencing the whole process of machine or human recommendation system. Theresults demonstrated that participants (N = 89) showed a more positive attitudetoward a machine recommender than a human recommender, even the recommendedvideos contain inappropriate content. While participants who have a high levelof trust in machines exhibited a negative attitude toward recommendations.Based on these results, we suggest that a phenomenon known as algorithmaversion might be simultaneously considered with machine heuristic ininvestigating human interaction with a machine.

Are you aware of what you are watching? Role of machine heuristic in online content recommendations