Issue Engagement On Congressional Candidate Web Sites, 2002-2006

When candidates engage in robust policy debate, it gives citizens clear choices on issues that matter. Previous studies of issue engagement have primarily used indicators of campaign strategy that are mediated by reporters (e. g., newspaper articles) or indicators that may exclude candidates in less competitive races (e. g., television advertisements). We study issue engagement with data from a unique source, congressional candidate Web sites, that are unmediated and representative of both House and Senate campaigns. We find that the saliency of issues in public opinion is a primary determinant of candidate engagement. And, despite the unique capacity of the Internet to allow candidates to explain their positions on a large number of issues, candidates continue to behave strategically, selecting a few issues on which to engage their adversaries

Beyond the Fokker-Planck equation: Pathwise control of noisy bistable systems

We introduce a new method, allowing to describe slowly time-dependent Langevin equations through the behaviour of individual paths. This approach yields considerably more information than the computation of the probability density. The main idea is to show that for sufficiently small noise intensity and slow time dependence, the vast majority of paths remain in small space-time sets, typically in the neighbourhood of potential wells. The size of these sets often has a power-law dependence on the small parameters, with universal exponents. The overall probability of exceptional paths is exponentially small, with an exponent also showing power-law behaviour. The results cover time spans up to the maximal Kramers time of the system. We apply our method to three phenomena characteristic for bistable systems: stochastic resonance, dynamical hysteresis and bifurcation delay, where it yields precise bounds on transition probabilities, and the distribution of hysteresis areas and first-exit times. We also discuss the effect of coloured noise.Comment: 37 pages, 11 figure

Coherent States Measurement Entropy

Coherent states (CS) quantum entropy can be split into two components. The dynamical entropy is linked with the dynamical properties of a quantum system. The measurement entropy, which tends to zero in the semiclassical limit, describes the unpredictability induced by the process of a quantum approximate measurement. We study the CS--measurement entropy for spin coherent states defined on the sphere discussing different methods dealing with the time limit $n \to \infty$. In particular we propose an effective technique of computing the entropy by iterated function systems. The dependence of CS--measurement entropy on the character of the partition of the phase space is analysed.Comment: revtex, 22 pages, 14 figures available upon request (e-mail: [email protected]). Submitted to J.Phys.

Ontology-based end-user visual query formulation: Why, what, who, how, and which?

Value creation in an organisation is a time-sensitive and data-intensive process, yet it is often delayed and bounded by the reliance on IT experts extracting data for domain experts. Hence, there is a need for providing people who are not professional developers with the flexibility to pose relatively complex and ad hoc queries in an easy and intuitive way. In this respect, visual methods for query formulation undertake the challenge of making querying independent of users’ technical skills and the knowledge of the underlying textual query language and the structure of data. An ontology is more promising than the logical schema of the underlying data for guiding users in formulating queries, since it provides a richer vocabulary closer to the users’ understanding. However, on the one hand, today the most of world’s enterprise data reside in relational databases rather than triple stores, and on the other, visual query formulation has become more compelling due to ever-increasing data size and complexity—known as Big Data. This article presents and argues for ontology-based visual query formulation for end-users; discusses its feasibility in terms of ontology-based data access, which virtualises legacy relational databases as RDF, and the dimensions of Big Data; presents key conceptual aspects and dimensions, challenges, and requirements; and reviews, categorises, and discusses notable approaches and systems

Worst-Case Background Knowledge in Privacy

Recent work has shown the necessity of considering an attacker's background knowledge when reasoning about privacy in data publishing. However, in practice, the data publisher does not know what background knowledge the attacker possesses. Thus, it is important to consider the worst-case. In this paper, we initiate a formal study of worst-case background knowledge. We propose a language that can express any background knowledge about the data. We provide a polynomial time algorithm to measure the amount of disclosure of sensitive information in the worst case, given that the attacker has at most k pieces of information in this language. We also provide a method to efficiently sanitize the data so that the amount of disclosure in the worst case is less than a specified threshold

The Technological Development of Congressional Candidate Websites: How and Why Candidates Use Web Innovations

The Internet offers political candidates a new way to campaign. Part of the Internet\u27s novelty comes from technological options not available in most other media. Candidates, however, must weigh various benefits and costs in using a given technological innovation. For example, technology that allows for increased user interactivity may lead to a more stimulating web site but might distract users from the campaign\u27s central message. In this article, the authors use data from 444 congressional campaign web sites, over two elections, to examine how candidates approach web technology. They investigate the factors that lead candidates to utilize or avoid particular technological features. They show that technological adoption is determined by both practical and strategic political considerations. Of particular interest, the competitiveness of a candidate\u27s race leads the candidate to use more sophisticated presentation technologies but less advanced interactive innovations because these latter options interfere with the candidate\u27s message

Replication data for: Campaign Communications in U.S. Congressional Elections.

There are four relevant files: 1. The 2002-2006 data; 2. A data key (which includes information about the nature of the data); 3. Errata which describes mistakes in the data; 4. The 2008 coding sheet (The 2008 data are not yet available; thus the extant data include 2002, 2004, and 2006. Also note that the 2008 coding framework significantly extended what is in the 2002-2006 data.). Note: An archive of the 2008 sites can be found at: http://www.archive-it.org/organizations/316

Campaign Rhetoric and the Incumbency Advantage

The congressional incumbency advantage reflects an inequity in competition-candidates receive an electoral edge simply because they hold office. Scholars have identified an array of factors that contribute to the incumbency advantage; however, the role of electoral campaigns has been largely ignored. We argue that campaigns are a mechanism through which the incumbency advantage works. All else constant, incumbents focus their campaigns on factors that reflect their standing position, such as their familiarity to voters and actions taken for their district/state. Voters consequently rely on such incumbency factors when making their decisions. The outcome is challengers are at an extreme disadvantage, and campaigns offer scant substantive engagement. We offer evidence for these dynamics with a large-scale content analysis of campaign websites and an experiment. In so doing, we highlight a challenge to theories of democratic representation that focus on equal competition and/or substantive campaign engagement

An Inside View of Congressional Campaigning on the Web

This paper offers an insider perspective of United States Congressional campaigning by exploring political marketing on the web. We offer theoretical frameworks that predict how campaigns view their websites (e.g., perceptions of likely audiences), how campaigns use their websites (e.g., content posted), and how these views and usages have evolved (or not) over time. We test our predictions with a unique data set from surveys of political marketers involved with the creation and maintenance of congressional campaign websites between 2008 and 2014. Consistent with our expectations, we find uniform views across campaigns about perceived website users (e.g., engaged voters). However, we also find support for our expectation of fundamental differences—between incumbent and non-incumbent campaigns—in what is posted on campaign websites. We also find some, but not many, changes in website usage over time. We conclude that differential marketing motivations result in campaigns that depart from the normative ideal of engaged dialogues that facilitate representation