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Articles 1 - 3 of 3
Full-Text Articles in Law
My Body, Not My Say: Justice Blackmun's Influential Decision In Roe V. Wade, Kisha K. Patel
My Body, Not My Say: Justice Blackmun's Influential Decision In Roe V. Wade, Kisha K. Patel
Gender, Women's, and Sexuality Studies Summer Fellows
Abortion laws have regulated women’s bodies since the beginning of the country. Many people associate regulation with the case of Roe V. Wade in 1973, in which the Supreme Court ruled that states could not outlaw abortion during the first trimester. Roe v. Wade remains controversial to this day as it failed to establish consensus that women’s decision whether or not to terminate a pregnancy falls within their constitutional right to privacy. Understanding the implications of this decision is fundamental to analyze the debate over the constitutionality of abortion today. This paper examines the opinion written by Justice Blackmun in …
Keeping Pace: The U.S. Supreme Court And Evolving Technology, Brian Thomas
Keeping Pace: The U.S. Supreme Court And Evolving Technology, Brian Thomas
Politics Summer Fellows
Contemporary mainstream discussions of the Supreme Court are often qualified with the warning that the nine justices are out of touch with everyday American life, especially when it comes to the newest and most popular technologies. For instance, during oral argument for City of Ontario v. Quon, a 2010 case that dealt with sexting on government-issued devices, Chief Justice John Roberts famously asked what the difference was “between email and a pager,” and Justice Antonin Scalia wondered if the “spicy little conversations” held via text message could be printed and distributed. While these comments have garnered a great deal of …
Classifying Political Similarity Of Twitter Users, William K. Paustian
Classifying Political Similarity Of Twitter Users, William K. Paustian
Computer Science Summer Fellows
The emergence of large scale social networks has led to research in approaches to classify similar users on a network. While many such approaches use data mining techniques, recent efforts have focused on measuring the similarity of users using structural properties of the underlying graph representing the network. In this paper, we identify the Twitter followers of the 2016 presidential candidates and classify them as Democrat, Republican or Bipartisan. We did this by designing a new approach to measuring structural similarity, PolRANK. PolRANK computes the similarity of a pair of users by accounting for both the number of candidates they …