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

Ridesharing can save energy, reduce pollution, and alleviate congestion.Ridesharing systems allow peer-to-peer ride matching through mobile-phoneapplications. In many systems people have little information about the driverand co-riders. Trust heavily influences the usage of a ridesharing system,however, work in this area is limited. In this paper, we investigate the roleof social media in shaping trust and delineate factors that influence thedecisions of trust placed on a driver or co-rider. We design a ridesharingsystem where a rider can see the Instagram profile and 10 recent pictures of aco-rider and ask them to make judgments on six trust related questions. Wediscovered three important factors that shape trust forming: \textit{socialproof}, \textit{social approval}, and \textit{self-disclosure}. These threefactors account for 40\%, 33\%, and 13\% of the variance, and subsequentfactors extracted accounted for substantially less variance. Using these threefactors, we successfully build a trust prediction model with F-measure of87.4\%, an improvement from 78.6\% on using all factors collected.

Who Will You Share a Ride With: Factors that Influence Trust of Potential Rideshare Partners