Twitter Investigation

 

For my twitter investigation I decided to analyse a selection of tweets from one male and one female account.

For this investigation I can apply the deficit theory, this states that women have more air time that is filled with many things such as empty adjectives, tag questions, more emotive language , filler etc.

I decided to collect data from five of one woman’s tweets at random and five of one male tweets at random also and analysed the amount of technology in the tweets such as video links an emojis.

Emojis could be seen as a new version of the deficit theory as the emojis convey emotions and can be seen as a form of a weak communication.

Methodology:

To make sure this investigation isn’t bias I selected every 5^th tweet to collect m pool of data from.

I found from my data that the female has 12 cases of using technology whereas the male only uses 5, I also analysed the word count the female had a count of 76 whereas the mal significantly less with 35. Finally the last thing I counted was the number of nonstandard English used in the tweets, females used 2 and males used 7. However this data may not be as reliable as to make this information relevant we could have measured whether these cases were in the form of being creative/ on purpose for effect or by accident.

From this data we can conclude that our hypothesis is correct as women use more emotions through the use of technology, however this may just be in proportion to the word count which is higher than the males. 16% of women’s tweets contained technology as a source  to demonstrate their emotions whereas in 14% of males tweets contained technology so in relation to the word count there isn’t much significant difference in the data.