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<DIV><FONT face="Times New Roman">Laura Christopherson wrote:</FONT></DIV>
<DIV><FONT face="Times New Roman">“When I used the term "text messages," I meant
it in a specific way (not a<BR>general usage of "things/documents/files in
text"). Specifically, I meant<BR>SMS (short messaging service) as Benjamin
indicated - messages created on<BR>cellphones via a service provider's (like
AT&T) service for this sort of<BR>communication. <BR><BR>Regarding the
"personal" idea, absolutely yes - ultimately each message is<BR>personal to
someone. I'm more interested in text messages that are not a<BR>collection of
messages which are personal **to the collector** - i.e. not<BR>the collector's
own messages to/from his family/friends or messages that<BR>are created by only
the collector's family/friends.”</FONT></DIV>
<DIV><FONT face="Times New Roman"></FONT> </DIV>
<DIV><FONT face="Times New Roman">(My first message on this forum
....)</FONT></DIV>
<DIV><FONT face="Times New Roman">Laura, I do not know if you are tied to the
specific features of “traditional” SMS texts, or how big a corpus you want, but
have you thought about using Twitter and Tweets and the Twitter webpage, and
then building up your own corpus by selecting tweeters that post messages that
meet your research criteria (if hopefully any tweets do). Advantages of Twitter?
Public medium (you can restrict your corpus to tweets that have already been
made public) and it is pull technology so the texts can come to you by
following, RSS feeds, or you can pull them off the Twitter site.
</FONT></DIV>
<DIV><FONT face="Times New Roman">David Hardisty</FONT></DIV>
<DIV><FONT face="Times New Roman">Lisbon</FONT></DIV>
<DIV><FONT
face="Times New Roman">Portugal</FONT></DIV></DIV></DIV></BODY></HTML>