SENTITRUST A NEW TRUST MODEL FOR DECENTRALIZED ONLINE SOCIAL MEDIA

Abstract

Online social media (OSM) are dominating
the wide range of Internet services. Due to
their vast audience, it is crucial to evaluate the
interpersonal trust among OSM users that can
identify reliable sources of information, the
meaningfulness of a relationship, or the
trustworthiness of other users. Senti trust is
an innovative trust model for Decentralized
Online Social Networks that is based on AIpowered Sentiment Analysis. It enriches the
trust definition by exploiting important
features that are enabled because of the
adoption of Social media through mobile
devices. The model can be easily extended
and customized according to the scenario of
interest. The sentiment analysis component
has been tested by involving 30 participants
who completed several guided tasks using a
social media application while their
electrodermal activity and rate responses
were measured. The results suggest that low
arousal states are related to receiving happy
faces and to sending more messages per
minute. Furthermore, positive interactions
result in shorter interactions and multimedia
exchanges