my hypothesis:
I predict women will be more emotional over twitter, i will measure this using the word count and mixed modality
Methodology:
- women show more emotion
- longer tweets
- 10 random male and 10 random female tweets
- because its a small pool I had to randomise it to limit the bias in the data
Data:
feature girls boys difference
non standard grammar 2 7 5
emojis/ tech 12 5 7
words 76 35 41
percentage of
emojis used in 16% 14% -
overall word count
Analysis:
my hypothesis is supported by a limited pool of data. For example 16% of the word count in female tweets are of mixed modalitycompared to 14% in male tweets only 2 percentage point difference this is limited however because I had limited tweets. The word count also may have effected my data as female tweets had 41 more words 85% higher than male tweets making the data difficult to judge.
Conclusion:
To conclude my hypothesis in the begging was irrelevant so i had to adapty it, when i had adapted it my data began to give me some results that slightly supported my hypothesis however because it is such a small pool of data and some of the data were retweets it may have been bias and inaccurate.
for the future:
Research first!
before deciding hypothesis and data
make sure your data cllection is precise and you limit flaws.
Trugill 1983
Women's pronunciation is more formal and is closer to RP than males.
Cheshire 1982
Boys tend to use more non-grammatical forms, like ain't and cuz, than girls.
Lakoff (Robin) 1975
Women use: hedges + fillers; tag questions; apologetic requests, indirect requests, speak less, use fewer expletives, more intensifiers. She argued that these features of speech make women seem more inferior, weak and needy and prevents women from being taken seriously. Apologetic requests: Im sorry for having to ask this....
indirect requests: could someone....
O'Barr and Atkins 1980
Disputed Lakoff, said that it was males and females of low social status who used these linguistic features.
Zimmerman and West 1975
found 96% of interruptions were made by men, suggesting male dominance and superiority in conversation.
Tanner 1990
Differences not similarities.
Men: more concerned with status - interrupt more; gives more direct orders - don't mind conflict; more intensifiers in getting facts and solving problems.
Females: more interested in for bonds - tend to talk less and agree more; more polite indirect orders - to avoid conflict; aim to show understanding by compromising and offering support rather than solutions.
Beattie 1982
Questioned Zimmerman and West's theory that men's interruptions were a sign of dominance. He said it could be to show support and understanding
Cameron 2007
Argued all theories were biased because they concentrated on the differences between men and women's speech rather than the similarities.
Coates
'Women's talk' falls into four categories
1) Bitching
2) Chatting
3) House Talk
4) Scandal