LG has announced the winners of its Global Ambassador Challenge in South Africa, marking the first time locals have received grants and titles as…
As more and more services focus on the arbitrage of consumer-to-consumer transactions and rentals, the problem of trusting a stranger becomes a significant drag on success.
The rent-out-your-home service Airbnb had a very bad and very public problem last year when a renter trashed and robbed a home.
A new API designed for collaborative applications called Whit.li. claims to be addressing this very problem. It does so by looking at a person’s social media activity and determines a trust score.
According to Whit.li. founder Jack Holt:
The things you tell the world (city, age, etc.) and those you do not–specifically, your choice of words in your status updates or reviews.
You could call it the, “dependability” or, “reliability” score.
… we track your use of ingestion and perception words, which allows us to divine a particle of your personality and attitude. Combined with other factors we calculate like lifestage, class, income and more, we can paint a pretty good picture of who you really are.
We have a psychologist on retainer who has pointed us to research and, with our own testing, has validated the correlations we use. But we are early, so the algos will surely improve greatly as we track their effectiveness in apps.
You can test it against your Facebook activity.
It’s a reasonable approach to use social media activity to gauge ‘trust.’ However, only a tiny number of people are active in social media compared with the large number of people engaging in consumer-to-consumer services.
And will the headlines of articles that people share be counted and the wording used against them?
People who trashed and robbed people’s homes won’t be found through their social media trails. There’s little protection to be gained from that type of behavior using this approach.
Also, Whit.li sort of sounds like “white lie,” which is not encouraging when it come to matters of trust.