The document discusses Twitter usage patterns, examining the behaviors of real users versus bots and the prevalence of tweet automation tools. It suggests that while many users experiment with different clients, some may use automation, making it challenging to discern genuine activity from bot-generated content. The author expresses a concern that automation complicates the ability to share valuable information on Twitter.

1. Twitter PersonasBot, Person or Alien

2. Research Assertions/AssumptionsReal People SleepReal People Try New ToolsBots Don’t Sleep as much as people, if at allSome people just tweet a bunch

3. The ProcessPick Twitter users in a pseudo random fashionAnalyze their tweeting timelines via TweetstatsReview Profile data and recent posts

4. …some clients are dead give away…Tweet Automation ToolSource: tweetstatsAutomation Available

5. …clients vary by network size…Tweet Automation ToolSource: tweetstatsAutomation Available

6. Not all Automation Tools Are Obvious

7. The Sneaky BotApp: Appears as Web

8. Not all automation is a bot

9. Could just be a bad PR firm or a Virtual Assistanthttp://www.prlog.org/10334601-is-twitter-helping-or-hindering-your-business-reclaim-your-business-day-outsource-your-tweets.html

10. @spatially (me) as a baselineAssertions Based on my UsageMost people try different clientsMost bloggers import their feeds (see twitterfeed)People rarely abandon a client once they find onePeople typically use 2 or 3 optionsSome people research tools (see api usage)

11. Let’s Play a Game

12. Bot or Not?

13. Other options exist, like outsourcing or a person being an Alien

14. @lizstraussZZZZZZZZZZZZZWork dayhttp://www.flickr.com/photos/jdlasica/3497033525/

15. @znatrainer131,000+ Tweetssleepsleepsleepsleepsleephttp://www.flickr.com/photos/comfort-mighty/1979425068/sizes/l/

16. @johnhaydon

17. @homedaddy1

18. @guykawasakiMy twitter credentialsThat’s a bunch of clients for just 1 personhttp://www.flickr.com/photos/dmourati/3179468934/sizes/o/

19. @monetizeurtwithttp://www.flickr.com/photos/beluvaloon/1429758459/sizes/o/

20. @Gary0001

21. @pistachiohttp://www.flickr.com/photos/tanderson/2352230121/sizes/l/

22. @lorimorenohttp://www.flickr.com/photos/47216922@N00/2358264933/sizes/l/

23. @mitch92021

24. @brainblayn

25. @pokerreview

26. @jawarhttp://www.flickr.com/photos/poomkamol/2230127765/sizes/o/

27. @mindjumpers

28. @mark_stoler

29. @theprofitmentor

30. @themediadudehttp://www.flickr.com/photos/megamanex/4216361409/

31. @nwjerseylizhttp://www.flickr.com/photos/ckieff/2902309368/sizes/l/

32. @paisanoSleep®http://whitecenternow.com/2009/01/22/thursday-food-rosticeria-y-cocina-el-paisano/

33. @mayhemstudios73,000+ Tweets?Insomnia?http://www.flickr.com/photos/noisypitta/2396125537/sizes/l/

34. Things I’m thinking after wasting 6 hours on this ProjectAutomation is making it harder to learn and share items of value on TwitterI wish I developed an automation toolSleep disorders can explain some things, but not 131,000+ tweetsTwitter is probably not good for insomnia