Due: September 27, 2012Problem 1 (30 points)Two paragraphs are given below, one for each of two authors, John Beadle and John Haldane, from texts about traveling in North America. Your job is to determine who wrote the questioned paragraph based on properties of the known paragraph, providing explicit justification for your choices, similarly to what we did in class and which you can see in the first few pages of the Forensic Linguistics slides.
Provide three quantified measures of authorship style (e.g., average sentence length) and three non-quantified observations of similarity (e.g., content or particular expressions). For each measure, you should give its value for each text and you should explicitly state why it supports your determination of who wrote the questioned paragraph. You will be graded on the evidence and reasoning you use, not on whether you get the right author. (a) [15 pts] Provide three quantified measures (be sure to provide quantities for all three paragraphs). Here is a suggested format for writing the values. Don't forget that you also need to explain how it supports your analysis.
(b)
[15 pts] Provide three non-quantified measures (state explicitly how
each one relates to each paragraph, and how it supports your analysis). Problem 2 (30 points)In the course slides the relative frequency of the words I and the were calculated for five texts of three authors: Austen, Doyle, and Krugman. These two dimensions were used to calculate the centroids for the three authors using the K-means algorithm. There are many other values that could be used for clustering with K-means; for this problem, you'll work with the relative frequency of we, he, and a. In particular, you are given the measurements for six texts, some of them by Austen and some by Doyle, and your job is to cluster them with k-means. Here are the documents and their measurements:
You can probably spot the clusters pretty easily just by inspecting the values, but for this problem you need to compute the centroids of each cluster using K-means. You are given the following two initial centroids:
Note that in the slides, we used two of the document points as initial centroids; here, they are different points, so there will be non-zero distances from them to all documents. Part A (5 points)For every document, compute the distance between it and the two centroids c1 and c2. In the slides you saw how to compute the squared distance in two dimensions. For three it is not different: you just need to include the z dimensions in your calculation: distance(di,dj) = (xi - xj)2 + (yi - yj)2 + (zi - zj)2 Here's a table to help organize your values:
Part B (5 points)Based on the distances, write down the group memberships for each centroid. Then, compute the new centroids based on the group memberships. Part C (10 points)Do this for two more iterations (the centroids won't change after that). At each iteration, give the distances, the centroids, and the group memberships. Part D (10 points)You are given a new document, d7, with the measurements (3.2, 13.3, 24.9) and are told it is written by Doyle. Calculate the distance between d7 and the final centroids you computed for Part C. (Show your work.) Based on this result, which of the first six documents were likely to have been written by Doyle and and which by Austen? Problem 3 (25 points)The Book of Mormon is a sacred text of the Latter Day Saints that was originally published in 1830 by Joseph Smith (1805-1844). Smith claimed that he was guided by an angel to a set of golden plates on which were inscribed a history of ancient American civilizations in a language Smith referred to as Reformed Egyptian. The Book of Mormon itself is Smith's claimed translation from the plates into English. Eleven other individuals signed affidavits asserting that they had witnessed the golden plates; other than this, the plates have never been seen. The only possible example of writing from them is the Anton transcript. The first edition of the Book of Mormon itself was created as a collaboration of Joseph Smith with several scribes, including Oliver Cowdery.
However, some maintain that Sidney Ridgon was the main architect of the
text and that he pulled a great deal of material from writings of Solomon Spalding (1761-1816); this is known as the Spalding-Rigdon theory of Book of Mormon authorship. This
problem involves reading several materials related to the authorship
question of the Book of Mormon and answering questions about the design
and methodology of authorship studies. The focus is thus less on the
conclusions reached, but more on the methodology used. Read the questions below now, but before answering them, read the following:
Questions (5 points each) (a)
Jockers et al criticize the work by Larsen et al (1980) and Hilton
(1988). Briefly explain two of their criticisms (1-2 paragraphs each). (b) Why do Jockers et al. exclude John Smith as a possible author in their study? Do you think they are justified in doing so?
(d) Jockers et al narrow down the
possible set of words they could use to just 110 word features. Why did
they make sure that each word was seen at least once with each author?
Why did they exclude "god", "ye", "thy" and "behold"? (e) In
three to four paragraphs, give your thoughts on the methodology used by
Jockers et al and whether you think it was valid or whether there are
problems with it. It's fine to use just the materials given above, but
you are welcome to use other sources. For example, Jockers has just
posted a new draft of an article that supports the exclusion of Smith as
a possible author, which you can find here:
Problem 4 (15 points)The use of machine learning for authorship attribution has
typically been applied to small datasets with few possible authors, such
as studies about the Federalist Papers and the Book of Mormon studies
discussed in the previous problem. However, there is a lot of recent
work on deanonymization on the internet based on various types of
information associated with our individual actions and profiles. Arvind
Narayan (a graduate of UT Austin) worked on deanonymization of the Netflix challenge dataset,
showing that some people could be identified based on their movie
preferences when cross-compared with IMDb users. He and other colleagues
recently published a paper that shows, for the first time, that
large-scale authorship attribution is feasible (in their case, testing
with 100,000 authors) and accurate enough to be useful in authorship
attribution use cases. For example, in their experiments, in 35% of
their test cases, the correct author is in the top 20 authors predicted
by their model. Given that this is out of 100,000 authors, that is quite
significant. With that background, read Narayan's blog post about the paper:
Based on that, answer the following questions in 2-3 paragraphs each (5 points each). (a)
Briefly discuss some differences between this study and the Jockers et
al study. As one thing to consider, do you think there is anything done
in one of the studies that would be interesting to consider or valuable
in the other context? (b) Why is confidence estimation (how confident the classifier is in its assignments) an important aspect of the work? (c) Discuss the impacts you see coming from work like this. Do you think it is possible for people to change their behavior to mask their stylistic profile? Does it worry you? Consider the world in general, for example the use of social media in the Arab uprisings and censorship in China. |
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