The Internet of tomorrow: Privacy, Accountability, Compliance and Trust

Probabilistic graphical models to extract "credible", "trustworthy" and "expert" information from large-scale, non-expert, user-generated content in online communities.

A generic approach for credibility analysis of unstructured textual claims in an open-domain setting with interpretable explanations.

A probabilistic graphical model to jointly identify credible news articles, trustworthy news sources, and expert users by leveraging joint interactions in a news community.

Assessing trustworthiness of users, objectivity of language, and credibility of user statements in online health communities.