User:Andre Castro/2.1/logbook: Difference between revisions
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=4.12.2012= | |||
I would like analyse each email reply received from individuals, at different level: letters, words, sentences; | |||
Base on that quantitative analyse I would like to produce a reply text that reflects the occurrence of these elements. | |||
e.g.: | |||
* the most employed character will be repeated in the same position where it occurred in the reply. | |||
* most employed words will be subject to online search looking for a definition, and those definitions will be inserted in the text | |||
* phrases will be given to a chat bot, so that they can be be responded to. | |||
=3.12.2012= | |||
* I became a spammer (someone who send unsolicited emails) to bulk email address | |||
<source lang="email"> | |||
It looks like you're writing a letter. | |||
I hope I am not making a mistake, but think it with would be nice | |||
experience to writing with you. | |||
I must say my writing is all over the place, I can't just stand still. | |||
You know that feeling? | |||
verrrrr veeeerrr verrrr bossss verbose! | |||
and sttutt ttt t eeeringgg stuttering on words?? | |||
........................................ | |||
........................................ | |||
........................................... | |||
....................a.................... | |||
............a................a........... | |||
........a.a...........a..............a.... | |||
.a................a............a........ | |||
OH! Probably I have just now manage to confuse you big | |||
Confusion can be a natural state /kənˈfjuːʒən/ as well as passivity | |||
/pæsɪv/ and also procrastination /pɹəʊ̆ˌkɹæstɪˈneɪʃə̆n/ | |||
Write me some lines, I can only promise it doesn't get any better than this. | |||
</source> | |||
And these are some of the replies received | |||
<source lang="email"> | |||
From: Konsul Gnadenwalze | |||
01101000 01100001 01101000 01100001 00100000 01100111 01110010 01100101 | |||
01100001 01110100 00101100 00100000 01101101 01101111 01110010 01100101 | |||
00100000 01110000 01101100 01100101 01100001 01110011 01100101 00101110 | |||
00100000 00101101 00100000 01100100 01100101 01110010 00100000 01101011 | |||
01101111 01101110 01110011 01110101 01101100 | |||
---- | |||
From: Danny van der Kleij | |||
I just find it very strange that gmail marked it as "important because | |||
of people in the email converstation" while I have never been emailed | |||
by you before, which means you could use gmails "important" tag to | |||
figure out who is in the bcc | |||
---- | |||
From: Catarina Oliveira | |||
?????????????????????????????????? | |||
---- | |||
From: Alisa Heller | |||
Haha? What s this? | |||
</source> | |||
=26.11.2012= | |||
* made adjustments to proposal: tried to make the methodology clearer | |||
=27.11.2012= | =27.11.2012= | ||
* rewrote proposal based on tutorial with Michael | * rewrote proposal based on tutorial with Michael | ||
* half annotated Goldsmith's Uncreative Writing | * half annotated Goldsmith's Uncreative Writing | ||
* placing the spam archive into django framework | |||
=26.11.2012= | =26.11.2012= |
Latest revision as of 12:39, 5 December 2012
4.12.2012
I would like analyse each email reply received from individuals, at different level: letters, words, sentences;
Base on that quantitative analyse I would like to produce a reply text that reflects the occurrence of these elements. e.g.:
- the most employed character will be repeated in the same position where it occurred in the reply.
- most employed words will be subject to online search looking for a definition, and those definitions will be inserted in the text
- phrases will be given to a chat bot, so that they can be be responded to.
3.12.2012
- I became a spammer (someone who send unsolicited emails) to bulk email address
It looks like you're writing a letter.
I hope I am not making a mistake, but think it with would be nice
experience to writing with you.
I must say my writing is all over the place, I can't just stand still.
You know that feeling?
verrrrr veeeerrr verrrr bossss verbose!
and sttutt ttt t eeeringgg stuttering on words??
........................................
........................................
...........................................
....................a....................
............a................a...........
........a.a...........a..............a....
.a................a............a........
OH! Probably I have just now manage to confuse you big
Confusion can be a natural state /kənˈfjuːʒən/ as well as passivity
/pæsɪv/ and also procrastination /pɹəʊ̆ˌkɹæstɪˈneɪʃə̆n/
Write me some lines, I can only promise it doesn't get any better than this.
And these are some of the replies received
From: Konsul Gnadenwalze
01101000 01100001 01101000 01100001 00100000 01100111 01110010 01100101
01100001 01110100 00101100 00100000 01101101 01101111 01110010 01100101
00100000 01110000 01101100 01100101 01100001 01110011 01100101 00101110
00100000 00101101 00100000 01100100 01100101 01110010 00100000 01101011
01101111 01101110 01110011 01110101 01101100
----
From: Danny van der Kleij
I just find it very strange that gmail marked it as "important because
of people in the email converstation" while I have never been emailed
by you before, which means you could use gmails "important" tag to
figure out who is in the bcc
----
From: Catarina Oliveira
??????????????????????????????????
----
From: Alisa Heller
Haha? What s this?
26.11.2012
- made adjustments to proposal: tried to make the methodology clearer
27.11.2012
- rewrote proposal based on tutorial with Michael
- half annotated Goldsmith's Uncreative Writing
- placing the spam archive into django framework
26.11.2012
In the tutorial with Michael we arrived at a possible, more concréte plan for my project
the idea consists in:
- taking spam as literary production
- I will assume the role of a spammer, who sends bulk mails
- However, spam's aim is not to fool receivers into some scam where money tries to be extracted from them, but an enticement to create texts in collaboration with the receivers.
- The receives would be propelled into a game where they are enticed to write, to respond and connect to with whom is sending the email
- the dialog can go on and different materials, techniques, type of answers be produced
- at the certain point receivers can be connected to one another. The central node - me (my bot) - and receivers will received each other's answers
Spam as a genre / a literary device
- the same techniques used in the creation of spam messages be re-applied in the construction of messages I would be sending to,
such as copy'n'paste, appropriation of literary text sources, text mangling (so Viagra becomes V##iagra),
- persuasive style
http://www.paulgraham.com/spam.html / http://www.guardian.co.uk/teacher-network/2012/jul/16/spam-emails-classroom
13.11.2012
After presenting the idea of a text-game based on spam email messages (described here) to Barend, we began discussion the exchanges some individuals had with spammers, by responding to the 1st spam email, and developing a dialog from there.
The idea fascinated. What if a text game could be devised that handled with this communication between player and spammer under a slight modified, and disguised manner, so that it felt more like a game, than actually email writing?
The game would be left hanging, until the player's response would be answered, and then another level would be achieved.
testing
In order to test viability of this strategy i will answer spam emails.
Need:
- Create email address: andre.oliveira80@gmail.com
- use a couple of recent spam email that ask answering
- reply