User:Andre Castro/2/Transmedial/spam transmedial
How to create writing and hybrid media publications from your junk mail folder.
Questions
- How can spam be re-published whiles maintaining its networked aspect?
- How can the characteristic elements of spam become apparent, when re-published?
- What publishing strategies allow for those 2 aspects to be present?
Expectations
What do we intend to get out of the workshop?
- new insights of what elements are specific to spam.
- concepts/prototypes for spam publishing
The workshop will cross-fade to Consent to Print, that will use it as the raw material to explore consensus/dissent based editorial practice.Question is what will Consent to Print use? The spam itself, or the strategies? How do you think to go on about it?
Examples
the narratives described in spam, through their characters
- As the same character might appear in a more than 1 one email
- As characters are often actual living(or dead) characters
- As they are often famous and with a large presence in the media
- They are related to other characters outside the spam narratives
Characters' profiles can be drawn in great detail. And they can be interconnected to those related to them (both in spam narratives and in real-life). Such well web of strong characters opens up the possibility for re-writing the narrative between this characters
questions
- what form to publish this network of characters so that their interconnections become apparent?
- how does it allow expansion, speculation, for narratives to emerge from the vision of characters' relations?
the formulistic nature of spam
Taking email spam we'll suggest participants to come up with strategies of publishing spam under a physical (possibly paper) format.
We'd like the proposals not to crystallize spam, but to keep its movement, it network and ever-changing nature. However repetition is also a very strong characteristic of spam, that could be explored.
Possibilities for publishing:
The database: http://pzwart3.wdka.hro.nl/django/acastro/collect_spam/spam/
go through a spam database and