We show that, in Twitter, popular and influential users linguistically structure their tweets in specific ways.

1. in the mood for being influential @danielequercia

2. o ffline & online

3. <goal>

4. social media language personality social media

5. social media <why>

6. social media

7. social media Pop press pundits (Archbishop England&Walses) “ Social-networking sites “dehumanize” community life”

8. social media

9. social media 1 Q&A

10. social media 2 Q&A

11. social media 3 Q&A

12. social media CS Researchers: “ Twitter is NOT a social network but a news media”

13. social media Pop press pundits (Archbishop England&Wales): “ Social-networking sites “dehumanize” community life” CS Researchers: “ Twitter is NOT a social network but a news media”

14. social media Pop press pundits (Archbishop England&Wales) “ Social-networking sites “dehumanize” community life” CS Researchers: “ Twitter is NOT a social network but a news media” “ I beg to differ” ;-)

15. social media language personality social media

16. social media language personality social media 1

17. language personality social media yesterday

18. 1 listeners, popular, & influential: extrovert & emotionally stable 2 highly-read: open to new experiences 3 predict personality from 3 public numbers

19. social media language personality social media now

20. social media language personality

21. social media language personality

22. social media language social media

23. 250K profiles in London (31.5M tweets) 3 seeds: newspaper accounts

24. The power of LANGUAGE

25. The power of LANGUAGE are concerned with one-to-one engagement are self-centered

26. The power of LANGUAGE are concerned with one-to-one engagement create a sense of community are self-centered

27. The power of LANGUAGE are concerned with one-to-one engagement create a sense of community are self-centered

28. The power of LANGUAGE sentiment & influence: any correlation?

29. The power of LANGUAGE sentiment & influence: any correlation?

30. The power of LANGUAGE sentiment & influence: any correlation?

32. social media we can build monitoring tools

33. tools for topical & sentiment analysis

34. r =.350 word count r =.365 MaxEnt predicting socioeconomic well-being with twitter [CSCW] Tracking Gross Community Happiness from Tweets

35. @danielequercia