We analyzed textual properties of documents to identify predictive variables for various document qualities by means of statistical and linguistic methods. We have created a collection of 1000 documents, each document has been judged in terms of nine document qualities (accuracy, reliability, objectivity, depth, author/producer credibility, readability, verbosity and conciseness, grammatical correctness, one-sided or multiview.) Employing statistical analyses, we considered a kind of linear

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... ination, asking (1) if it was possible to combine textual features linearly to predict document qualities; (2) what textual features had good predictive power; (3) what textual features were minimally required for prediction with a detection rate much better than the false alarm rate. We present several promising results, indicating that with a few number of textual features, we can predict various document qualities much better than chance. ASIST 2003