Bot it Out! - WaffleJS

🚀
In this talk we’ll go over the process of making a twitter bot: user interaction, scheduling bot actions (tweeting, replying etc) and deployment. I’ll do a mini showcase of bots people have made. The focus will be on the creative and generative possibilities of twitter bots rather than simulating human conversation or automating tasks.

Transcript

1. Yeli! @YellzHeard
2. @YellzHeard
6. http://setosa.io/ev/markov-chains
7. I hope people like this talk I am giving. Otherwise it will be very very awkward. Well at least there are waffles, sorry donuts. "I ho" -> "hope" -> "ope " -> "pe p" -> "epeo" -> " peop" -> "eopl" -> "ople" -> "ple " -> "le l" -> "e li" -> "like" -> "ike " -> "ke t" -> "e th " -> "this" - > ...
8. I am not a number! I am a person! I am a person I tell you! I mean it, I am tired actually. I am very tired. Key Value Probability I am a (⅖) I am not (⅕) I am tired (⅕) I am very (⅕)
9. 1. https://github.com/maximumdata/markov- twitter-bot 2. https://github.com/jsvine/markovify 3. https://github.com/esdalmaijer/markovbot
14. https://www.patreon.com/tinysubversions
15. https://www.patreon.com/tinysubversions
17. 1. Twit: https://github.com/ttezel/twit 2. Glitch: glitch.com 3. Tracery: http://tracery.io/ 4. Corpora: https://github.com/dariusk/corpora
18. 1. https://twitter.com/signup 2. apps.twitter.com
23. “Susie the _noun_ was _adverb_ _verb_ the _noun_.”
24. “_number_ under _number_ working _adjective_ _preposition_ _noun_.”
25. “_number_ under _number_ working _adjective_ _preposition_ _noun_.” = “40 under 60 working selfishly in entertainment.”
26. http://www.brightspiral.com/tracery/
27. “working selfishly in finance.”
31. https://cron-job.org https://uptimerobot.com/
32. @Y_Under_YBot
33. https://cheapbotsdonequick.com/source/tinyspires
35. https://cheapbotsdonequick.com/ https://www.patreon.com/v21
36. https://glitch.com/botwiki
37. Thank you! @YellzHeard