INSCI'2019 PLENARY TALK
Extracting Social Good from Social Networks
Social Networks are increasingly being used for a wide range
of functions but the prime one continues to be the dissemination of information.
Unfortunately, recent events have shown that such a platform can be used to
spread fake news just as easily as factual news and this can result in significant
social harm. In fact it has been shown that fake news, which tends to be sensationalized,
spreads faster than factual information. We discuss the problem and present
some of our ongoing work in the area. We describe the influence maximization
problem and its use in advertising in social networks. Next we discuss appropriate
models of influence between friends. We then discuss the use of trust models
for increasing the quality of crowdsourced data. Finally we explore the connection
between these two efforts on user influence and user trust.
If these issues are properly understood then we believe that one can increase the social good being extracted from social networks.