Twitter Investigation

Investigating Language on Twitter - 

Introduction:
I think that men are more likely to show dominance than women in their tweets
- can study women's language feature (empty adjectives, uncertainty features) and mens dominance (use of imperatives etc)
- links to Robin Lakoff's deficit theory

Methodology:
-We picked two celebrities of each gender and picked every fifth tweet
- It is not biased as we don't know the person and picked the tweets at random
- Benefits: don't have to ask for consent because they're tweeting publicly
- Limitations: not truly representative as only got 10 tweets, small sample

Analysis:
- Taylor (female)
   showed a higher amount of empty adjectives and uncertainty feature
- Taylor uses 'so much' which is two uncertainty feature however do we count as one as they are used and work together?
- Zac (male)
  uses higher amount of multi modality pictures and also imperatives
(we did average per tweet as two of Taylor's tweets were retweets so we didn't count them)
- This could show that women are more descriptive in their writing as opposed to men who are more concise. Could suggest men are more dominant because of imperatives

Conclusion and Evaluation: 
- massive limitations as only a small pool of data
- finding prove our hypothesis because men use more imperatives and women use more empty adjectives

For the Future:
- choose larger pool of data
- keep random DONT cherry pick