Text summarization and media bias
Dec. 7th, 2003 02:19 pmMy brother pointed me to this link, which came up in the
linguists community later. The article describes Regina Barzilay's work at Cornell in text summarization; she was one of the people teaching tutorials at CLSP in Baltimore this summer; she is competent and a good teacher.
My brother's comment:
[I] found this particularly interesting because of the learned bias of the software (taken by analyzing news media articles about the conflict in palestine/israel):For example, the system learned incorrectly that "Palestinian suicide bomber" and "suicide bomber" were the same, and that "killing 20 people" is the same as "killing 20 Israelis", said Barzilay. These mistakes made by the system are "due to how reporters are reporting," she said. "In some sense... the teacher here is what the reporter writes," she said.
Fascinating. I think that these observations are reminding us that we "learn" culture the same way--more or less--that we learn language. Things keep getting repeated in some elemental form, even though the details (exact vocabulary, specific rituals, menu items, etc.) may be different with each rendition. When we eventually perceive the elemental form, we have internalized the cultural message. That includes the biases, syntax, or whatever.
Barzilay is no fool, and this does lead to some interesting speculation about where (and how) one might begin to try to detect bias in media by some objective measure like a computational account. Of course, considering how successful Google-washing (http://www.google.com/search?q=miserable%20failure&btnI=I%27m+Feeling+Lucky) can be, we need to remember that many computational measures of relevance only work if they're not being gamed. But it leads to some interesting questions about how relevance and document selection work -- and it also touches one of the issues dear to me: media independence and media bias.
Perhaps, at the very least, a measure like this could be used to tell how closely all the media were parroting each other's stories, like the stable of parrots that currently inhabits the White House Press Corps. Maybe by the time I graduate, I'll be able to go work for FAIR and kill two birds with one stone -- write software for language and fight media hegemony.
A boy can dream, can't he?