{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Other Life","title":"Engineering negative virality","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/838eaac3\"></iframe>","width":"100%","height":180,"duration":3837,"description":"In-depth case study of a nuclear tweet. After my globally nuclear tweet about Greta & Epstein, I thought a lot about the factors that predict negative virality (AKA being \"ratio'ed\" on Twitter; getting a high ratio of replies to retweets, i.e. a lot of backlash relative to endorsement). A few weeks later, when drafting a quick tweet, I had a very strong intuition that the tweet would be ratio'ed hard. When I turned out to be right, I gained confidence in my theory of negative virality and decided to elaborate it through a case study of this one particular tweet. ✦ The tweet. https://twitter.com/jmrphy/status/1197664774097522688 ✦ I have a free course on this stuff, called Revolutionary Internet Galaxy-Brain. ✦ If you'd like to discuss this podcast with me and others, suggest future guests, or read/watch/listen to more content on these themes,  request an invitation to my free community forum. ✦ This podcast is made possible by my patrons so big thanks to them. If you'd like to help expand my operations, you can become a patron yourself. ","thumbnail_url":"https://img.transistorcdn.com/BZcuiSRr4bH_GmK2Yf2ejTUwE_7qZeLoFy1J8IYgIS0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzE0MDg1LzE2ODgw/NTE4MjMtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}