- How to use ML to identify bots and trolls on Reddit https://towardsdatascience.com/trolls-and-bots-are-disrupting-social-media-heres-how-ai-can-stop-them-d9b969336a06 6 comments programming
Linked pages
- Redditors Say They’re Seeing Coordinated Chinese Propaganda On The Site https://www.buzzfeednews.com/article/craigsilverman/reddit-coordinated-chinese-propaganda-trolls 566 comments
- https://atomiks.github.io/reddit-user-analyser 209 comments
- Apache Kafka https://kafka.apache.org/ 125 comments
- Better Language Models and Their Implications https://openai.com/blog/better-language-models/ 99 comments
- GitHub - axios/axios: Promise based HTTP client for the browser and node.js https://github.com/axios/axios 82 comments
- D3.js - Data-Driven Documents http://d3js.org/ 55 comments
- Community Interaction and Conflict on the Web https://snap.stanford.edu/conflict/ 44 comments
- Amazon's Fake Review Problem Is Now Worse Than Ever, Study Suggests https://www.forbes.com/sites/emmawoollacott/2017/09/09/exclusive-amazons-fake-review-problem-is-now-worse-than-ever/#67d4c1bd7c0f 33 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Twitter released 9 million Russian troll tweets. Here’s what we know. - Vox https://www.vox.com/2018/10/19/17990946/twitter-russian-trolls-bots-election-tampering 14 comments
- Apache Kafka https://kafka.apache.org/documentation/#design 5 comments
- Troll (slang) - Wikipedia http://en.wikipedia.org/wiki/internet_troll 1 comment
- Managing Real-time Event Streams and SQL Analytics with Apache Kafka on Heroku, Amazon Redshift, and Metabase | Heroku https://blog.heroku.com/event-streams-kafka-redshift-metabase 0 comments