42 research outputs found
Appendix_table – Supplemental material for Do Housing Vacancies Induce More Crime? A Spatiotemporal Regression Analysis
No full textSupplemental material, Appendix_table for Do Housing Vacancies Induce More Crime? A Spatiotemporal Regression Analysis by Xiaojin Chen and Patrick Rafail in Crime & Delinquency</p
Xor-Trees for Efficient Anonymous Multicast and Reception
No full textIn this work we examine the problem of efficient anonymous broadcast and reception in general communication networks. We show an algorithm which achieves anonymous communication with O(1) amortized communication complexity on each link and low computational complexity. In contrast, all previous solutions require polynomial (in the size of the network and security parameter) amortized communication complexity. An extended abstract of this paper appears in the Proc. of the 17th Annual IACR Crypto Conference, CRYPTO 1997. y Department of Mathematics and Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel. Email: [email protected]. Part of this work was done while this author visited Bellcore with the support of DIMACS. Partially supported by the Israeli ministry of science and arts grant #6756195. z Bell Communications Research, 445 South St., MCC 1C-365B, Morristown, NJ 07960-6438, USA. Email: [email protected]. 1 Introduction One of the primary ob..
Nonprobability Sampling and Twitter
No full textTwitter data are widely used in the social sciences. The Twitter Application Programming Interface (API) allows researchers to build large databases of user activity efficiently. Despite the potential of Twitter as a data source, less attention has been paid to issues of sampling, and in particular, the implications of different sampling strategies on overall data quality. This research proposes a set of conceptual distinctions between four types of populations that emerge when analyzing Twitter data and suggests sampling strategies that facilitate more comprehensive data collection from the Twitter API. Using three applications drawn from large databases of Twitter activity, this research also compares the results from the proposed sampling strategies, which provide defensible representations of the population of activity, to those collected with more frequently used hashtag samples. The results suggest that hashtag samples misrepresent important aspects of Twitter activity and may lead researchers to erroneous conclusions.</jats:p
Permeable Participation: Civic Engagement and Protest Mobilization in 20 OECD Countries, 1981–2008
No full textFamily size, cognitive outcomes, and familial interaction in stable, two-parent families: United States, 1997-2002
No full textGrievance Articulation and Community Reactions in the Men’s Rights Movement Online
No full textThe Men’s Rights movements have grown extensively in the last four decades. Social media platforms, especially online communities, have been instrumental in the rise of the movement. Despite this, few studies have directly examined how the Men’s Rights movement frames its grievance in online spaces or analyzed community reactions to user-contributed content. To fill these gaps, we analyze 70,580 posts contributed to /r/MensRights, a large community of Men’s Rights activists on Reddit, using a combination of topic models and negative binomial regression. Our results indicate that users active on /r/MensRights have developed a core set of grievances. Due to the mechanics of Reddit, where users can upvote posts to increase their visibility, contributed content that is consistent with community norms is prominently featured. Online spaces such as /r/MensRights provide an optimal combination of self-reinforcing community norms and anonymity, providing social movements with powerful tools to expand their reach, recruit new members, and expand its political power. We argue that these dynamics apply more generally to social movement mobilization that occurs online
Making the Tea Party Republican: Media Bias and Framing in Newspapers and Cable News
No full text Research on the Tea Party emphasizes the role of Fox News in magnifying the movement’s early successes. Fox News is credited with legitimizing the Tea Party’s grievances, allowing the movement to make rapid inroads into the Republican Party. We argue that such depictions of the Tea Party’s relationship to the Republican Party are at least partially the product of an oversimplified media narrative emphasizing the seamless integration of the two. We analyze 201,678 media documents from blog posts from Tea Party organizations, Fox News, MSNBC, and 785 newspapers. Our results show marked differences between how the Tea Party frames itself compared with other media sources frame the movement. MSNBC and Fox News discuss the Tea Party strategically, respectively, treating the movement as representing the worst and best aspects of the Republican Party. This is in stark contrast to how the activists frame the movement as conservative, but not strictly Republican, and often in conflict with the goals of the Republican Party. </jats:p
