in the mood for being influential
DESCRIPTION
We show that, in Twitter, popular and influential users linguistically structure their tweets in specific ways.TRANSCRIPT
in the mood for being influential
@danielequercia
offline & online
<goal>
social media language personality
social media
social media
<why>
social media
social media Pop press pundits (Archbishop England&Walses)“Social-networking sites “dehumanize” community life”
social media
social media 1Q&A
social media 2Q&A
social media 3Q&A
social media CS Researchers:“Twitter is NOT a social network but a news media”
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”
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 diff
er” ;-)
social media language personality
social media
social media language personality
social media
1
language personality
social media
yesterday
1 listeners, popular, & influential: extrovert & emotionally stable
2 highly-read: open to new experiences
3 predict personality from 3 public numbers
social media language personality
social media
now
social media language personality
social media language personality
social media language
social media
250K profiles in London (31.5M tweets)
3 seeds: newspaper accounts
The power of LANGUAGE
The power of LANGUAGE
are concerned with one-to-one engagement
are self-centered
The power of LANGUAGE
are concerned with one-to-one engagement
create a sense of community
are self-centered
The power of LANGUAGE
are concerned with one-to-one engagement
create a sense of community
are self-centered
The power of LANGUAGE
sentiment & influence: any correlation?
The power of LANGUAGE
sentiment & influence: any correlation?
The power of LANGUAGE
sentiment & influence: any correlation?
social media we can build monitoring tools
tools for topical & sentiment analysis
r=.350 word count r=.365 MaxEnt predicting socioeconomic well-being with twitter
[CSCW] Tracking Gross Community Happiness from Tweets
@danielequercia