fake news Archives - Neo4j Graph Database Platform

The Story behind Russian Twitter Trolls: How They Got Away with Looking Human – and How to Catch Them in the Future

By Bryce Merkl Sasaki | March 7, 2018

It’s no secret that Russian operatives used Twitter and other social media platforms in attempt to influence the most recent U.S. presidential election cycle with fake news. The question most people aren’t asking is: How did they do it? More… Read more →

Keywords: fake news • Graph Algorithm • graph analysis • Mueller indictment • NBC News • PageRank • Russia • Russian troll • social media • U.S. elections

This Week in Neo4j – 18 November 2017

By Mark Needham | November 18, 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Nicolas Mervaillie This week’s featured community member is Nicolas Mervaillie, Senior Consultant at… Read more →

Keywords: fake news • GraphQL • natural language processing • nlp • reactnyc • russian trolls • spring data neo4j • twin4j

This Week in Neo4j – 21 October 2017

By Mark Needham | October 21, 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. GraphConnect NYC 2017 It’s GraphConnect week! The main event is on October 24th 2017 at Pier… Read more →

Keywords: debian • fake news • FOSDEM • graphconnect • GraphQL • Jim Webber • query plan • spring boot • twin4j

This Week in Neo4j – 12 August 2017

By Mark Needham | August 12, 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Eve Freeman This week’s featured community member is Eve Freeman, Applications Development Analyst… Read more →

Keywords: fake news • graph-based machine learning • symfony • sysmon • Time-Based Versioned Graphs • twin4j • user-defined procedures

Machine Learning, Graphs and the Fake News Epidemic (Part 2)

By Bryce Merkl Sasaki | August 10, 2017

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Read more →

Keywords: Connected Data • cypher • fake news • Graph Algorithm • graph database • graph technology • machine learning • pattern matching • relational model • sql

Machine Learning, Graphs and the Fake News Epidemic (Part 1)

By Bryce Merkl Sasaki | August 2, 2017

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Read more →

Keywords: ai • artificial intelligence • BuzzFeed News • Connected Data • fake news • graph database • graph technology • Knowledge Graph • machine learning • machine learning algorithms

Detecting Fake News with Neo4j & KeyLines

By Bryce Merkl Sasaki | May 9, 2017

Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Read more →

Keywords: Connected Data • cypher • Data Visualization • fake news • fraud • graph analysis • graph model • graph visualization • Keylines • social media

Join Us for the GraphHack at GraphConnect Europe [2017]

By Bryce Merkl Sasaki | May 8, 2017

It’s that time of year again for the biggest (and best) graph database hackathon in this or any other parallel universe: The GraphHack. This year’s event takes place at CodeNode London on GraphConnect Eve (10th May 2017). The hackathon will… Read more →

Keywords: Brexit • data journalism • electoral commission • fake news • graphconnect • graphHack • hackathon • open data • OpenCorporates • Panama Papers

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