volume of digital misinformation at scale. Semantic
web technologies are reaching maturity and can be
leveraged toward the development of computational
fact-checking tools. Automatic extraction of semantic data from text provides large knowledge bases
which, in combination with inference and network
mining techniques, could accelerate the tasks of verification and news gathering, for example by connecting claims with relevant contextual information
and previous analyses (see figure 3). Special emphasis
should be placed upon interpretable results, which
can aid both journalists and the general public make
sense of the information to which they are exposed.
The ultimate goal of the workshop was to bootstrap a long-lasting initiative between various sectors
(namely industry, academe, journalism, and civil
society) with the aim of building a trustworthy web.
Follow-up discussion and further collaborative activity is currently under way through online community spaces. We believe that support from both private
foundations and federal agencies will be a key ingredient for the success of future collaborative activities,
the scope of which must include research, education,
and policymaking.
Acknowledgements
We are grateful to Alessandro Flammini, who co-
organized the workshop. We acknowledge support
from the Network Science Institute ( iuni.iu.edu) and
the School of Informatics, Computing, and Engi-
neering ( sice.indiana.edu) at Indiana University.
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