Neo4j Awards Technology Grant to Syracuse University for Mapping Misinformation Trends in 2024 U.S. Elections with Knowledge Graphs
07.08.2025 - 18:07:12In the 2024 elections, IDJC will seek insights that can address questions such as who are the most influential actor networks spreading information across which platforms; what themes are circulating; who are the originators vs. spreaders; what misinformation may be propagated in swing states, how and to what effect; and to what extent is AI-generated misinformation present; among other questions.
Supporting Quotes
Jennifer Stromer-Galley, Senior Associate Dean and Professor, Syracuse University School of Information Studies
"Revealing details about ads and messaging on social media is vital to provide the public with transparency and support accountability. Failure to do so can make voters more vulnerable to manipulation. Neo4j's graph technology is enabling us to draw connections and unearth relationships within the complex web of election-related messaging on social media. It has been instrumental in quickly revealing much richer insights that would have been harder or almost impossible to do otherwise."
Margaret Talev, Kramer Director, Institute for Democracy, Journalism and Citizenship (IDJC), Syracuse University
"IDJC ElectionGraph findings give us a glimpse at the firehose of information and misinformation coming at voters from groups with a jumble of motives, ties, and trustworthiness ahead of the 2024 elections. Neo4j's graph algorithms help reveal hidden connections and interactions in a complicated network, identifying the sources of these messages."
Jim Webber, Chief Scientist, Neo4j
"The challenge faced by digital researchers and computational journalists in unearthing the consequences of AI-driven misinformation on democracy is enormous. Graph technology is an essential enabler to those seeking to uncover hidden patterns and networks of those looking to manipulate democratic populations. We at Neo4j are proud to support Syracuse University's mission to help journalists and citizens separate fact from fake news so that the voting public can make informed decisions as they go to the polls."
Syracuse University's IDJC ElectionGraph and its findings are independent and proprietary to Syracuse University and the IDJC.
Visit https://idjc.syracuse.edu/2024-election-graph-project/ to read the full report and learn more about IDJC's ElectionGraph.
About Neo4j
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j's dynamic open-source community brings together over 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com.
About Syracuse University's Institute for Democracy, Journalism and Citizenship
The IDJC engages in nonpartisan research, teaching and public dialogue to strengthen trust in news media, governance and society. It is a joint University initiative of the Newhouse School of Public Communications and Maxwell School of Citizenship and Public Affairs.
Neo4j Contact:
Pragya Goel
Neo4j@ruderfinn.com
Syracuse University Contact:
Keith Kobland
kkobland@syr.edu
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