Twitter Bot Analysis with Graph Analytics and NLP

In today's time of fake-news, bot activity on social networks and a general distrust in media, we wanted to see what we can do with graph databases to gain a few insights.

For once some of my colleagues helped NBC to analyze tweets from Russian twitter bots during the presidential campaign and determine activity, connections, topics, trends.

They also applied the natural language processing libraries from our partner GraphAware to the data for additional insights.

In this talk, I want to present the techniques used and some of the outcomes.

Presenter: Michael Hunger
Developer Relations Engineering Neo4j

For the last few years, Michael has been working on many aspects of the open source Neo4j graph database. As caretaker of the Neo4j community and ecosystem, he especially loves to work with graph-related projects, users, and contributors.

As a developer Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects and contributing and writing software related books and articles.