The case study I will be bringing to the project is to provide a comparison with the other studies, in relation to who the tweets are coming from. I have chosen to look at Frankie Boyle, a comedian well known for his near-the-mark humour. The language he uses on his Twitter account is just as bad as the language used in the other case studies, so this will provide an interesting insight as to why Frankie Boyle is not punished for his language - how is the intention of humour come through the vulgar language?
Examples of Frankie Boyle's tweets to look at:
These links are all to articles referring to Frankie Boyle's tweets, which may be helpful to use after we've received feedback from our questionnaries. It might be interesting to compare why his tweets can be referred to as a joke, as they are in the following article, when what is being said is not unlike the other cases we are studying. Is there something in how he chooses to write them that makes it less offensive? This is also something we can include in our questionnaire, to see if when read with just the language, with no knowledge of who wrote them, these tweets are still perceived as humorous.
http://blogs.telegraph.co.uk/technology/micwright/100007998/sick-comments-on-twitter-are-now-ludicrously-a-criminal-offence-so-how-come-no-one-has-arrested-frankie-boyle/
I looked at that article from the Telegraph as well; it has some very good points especially about Frankie Boyle's fan base being over a million (useful to compare to the sorts of case studies Megan and I have looked at!) x
ReplyDeleteThis looks as though it's coming along, although you might want to clarify the approach to analysis and keep that separate from the data examples, which currently form a large part of the blog. How are you planning to do the analysis, and how have you got on with your literature review?
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