Sentence examples for To identify trustworthy from inspiring English sources

"The Trustpilot concept is a brilliant one which creates substantial value both for merchants who wish to highlight their service credentials and for consumers who want to identify trustworthy service providers in an increasingly crowded online world," said Ben Holmess, partner at Index Ventures, in a statement.

However, there are concerns that these criteria might not be sufficient to identify trustworthy information.

It has not been possible to identify trustworthy explanations of between-unit differences in responses.

Read this wikiHow article to find out how to identify trustworthy informational websites.

These approaches demonstrated that incorporating physiological constraints during the model simulation are critical to identifying trustworthy gene amplification targets, but much improvement is still needed [ 24, 28].

Kickstarter, in its user guidelines, offers advice to potential investors on how to identify a trustworthy campaign: "Backers should look for creators who share a clear plan for how their project will be completed and who have a history of doing so".

In this paper, we propose a multi-faceted trust management system architecture for cloud computing marketplaces, to support customers in identifying trustworthy cloud providers.

One reason that dyslexics are drawn to entrepreneurship, Professor Logan said, is that strategies they have used since childhood to offset their weaknesses in written communication and organizational ability — identifying trustworthy people and handing over major responsibilities to them — can be applied to businesses.

Based on a review of the non-verbal literature, a framework was created that identified trustworthy and credible non-verbal behaviors across five areas and formed design guidelines for character interaction.

Rather, we believe these criteria provide a starting point for defining and identifying trustworthy research environments that might be worthy of the title 'Data Safe Haven'.

Hovy et al. propose Multi-Annotator Competence Estimation (MACE) which uses EM to identify which annotators are trustworthy and considers this information to predict outputs [100].