we set out a hypothesis that men are more dominant as they are more straight to the point whereas women tend to waffle which links to the deficit which is a power theory. we planned on using one man and one women who were both in the public eye, these were Ed Milliband- an MP and former leader of the labour party, and Amy Childs - a reality TV star
Methodology
our methodology was two pick every third tweet from each of these people. We chose to do it this way to prove that there are no anomalies. we then proceeded to count the number of each various feature of each tweet to try and prove our hypothesis.
Analysis
The results are as follows:
- Emoji's men used 0 and women used 12
- Emotive language men used 13 and women used 7
- Men's sentence lengths ranged for men at 16-27 with an average of 20.1. Women on the other hand had a range of 3-17 with an overall average of 9.2
- Amount of hashtags used by men is 1 and women was 10
Conclusion
Reflecting on this study I think its clear that we may have chosen the wrong subjects for this investigation. If this this investigation were to be done again we could choose people from different similar backgrounds because if we did this the two people would be easier to compare and hopefully give us more conclusive evidence for our hypothesis.
Some good exploration of the data you chose and some good evaluation. I think you need to use terms like are they 'representative' of their gender and is the data 'reliable' and 'generalisable'. Random selection won't avoid anomalies but it will avoid biased selection. A larger data pool minimises the effect of anomalies on quantified data and allows you to spot them more easily. Be careful with subjective terms like 'emotive language' and find ways to objectively measure this, evaluating the success of this approach as you go by looking at examples in context, PEE.
ReplyDelete