From John Thompson’s Media & Modernity pg 41-42:
In interpreting symbolic forms, individuals incorporate them into their own understanding of themselves and others. They use them as a vehicle for reflection and self-reflection, as a basis for thinking about themselves, about others and about the world to which they belong. I shall use the term ‘appropriation’ to refer to this extended process of understanding and self-understanding. To appropriate a message is to take hold of its meaningful content and make it one’s own. It is to assimilate the message and incorporate it into one’s life–a process that sometimes takes place effortlessly, and sometimes involves deliberate application. In appropriating a message we adapt it to our own lives and life contexts. We apply it to a set of circumstances which, in the case of media products, are generally different from the circumstances in which the message was produced.
2 responses to “Becoming ourselves through the media”
Hey mark. I thought of you the other day so I appreciate you posting something.
.. I like that definition of appropriation by the way.
But I was going to ask you, since you are more in twined and involved in computers, data, algorithm, social platforms and just basically computer technology, then I will Ever be…
Perhaps you will know the answer to this question and or you might have a friend somewhere in your institution that might be interested in this and or have something to say about it:
I was pondering the other day that it seems like it would be pretty easy to analyze the stock market and find out just how many orders are succeeding.
I mean, everything is done with computers nowadays so it seems like there should be a huge data record on every single stock market bat that has been placed. And it seems like it would be a really valuable and interesting if there was an analysis of just how many positions are correct. Never mind in who, just plain data. It seems like it would be pretty easy to analyze various positions or bets placed and compare them to whether they paid off or whether they lost.
Maybe you might know someone who knows why no one has undertaken such an endeavor.
Because it seems like it would be very valuable information to have if, say, only 20% of all stock market positions were correct or something like that. Or just the opposite.
What do you think?
This is my understanding of what computational finance people do with big data. There’s lots of empirical work beyond this about how financial markets operate in practice but it’s not really something I know anything about.