Bureaucratic control and information processing: An institutional comparison

Standard models of bureaucratic control argue that politicians vulnerable to asymmetric information rely on third‐party monitoring to expand information supply. This solution to information asymmetry assumes that politicians can process all information that comes their way. However, advocates strategically oversupply information to crowd out rivals, making such a solution counterproductive. Using data on administrative reorganization in Hong Kong, we examine the alternative proposition that bureaucratic control is contingent not only on how information is obtained but also on how it is processed under two different institutional arrangements: one that splits attention across domain‐specific streams and one that concentrates attention in a single sequence. In both cases, bureaucrats refrain from major changes when politicians break from these arrangements. Moreover, bureaucratic action is significantly more likely to respond to changes in attention allocation when politicians process information in multiple streams.     

Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text

The (unheralded) first step in many applications of automated text analysis involves selecting keywords to choose documents from a large text corpus for further study. Although all substantive results depend on this choice, researchers usually pick keywords in ad hoc ways that are far from optimal and usually biased. Most seem to think that keyword selection is easy, since they do Google searches every day, but we demonstrate that humans perform exceedingly poorly at this basic task. We offer a better approach, one that also can help with following conversations where participants rapidly innovate language to evade authorities, seek political advantage, or express creativity; generic web searching; eDiscovery; look‐alike modeling; industry and intelligence analysis; and sentiment and topic analysis. We develop a computer‐assisted (as opposed to fully automated or human‐only) statistical approach that suggests keywords from available text without needing structured data as inputs. This framing poses the statistical problem in a new way, which leads to a widely applicable algorithm. Our specific approach is based on training classifiers, extracting information from (rather than correcting) their mistakes, and summarizing results with easy‐to‐understand Boolean search strings. We illustrate how the technique works with analyses of English texts about the Boston Marathon bombings, Chinese social media posts designed to evade censorship, and others.     

The Pro-Life Movement in Japan

The birth rate in Japan is among the lowest in the world. But what about the abortion rate? This essay examines changes in abortion practice in Japan over time, and especially after WWII and the passage of the 1948 Eugenic Protection Law, comparing the influence of Buddhism, Protestantism, and Catholicism on the practice of abortion in Japan. This essay takes a particular look at the career of Dr. Kikuta Noboru, who helped revolutionize Japanese adoption laws after his conversion to Christianity.     

The Formation of Transnational Knowledge Networks on Social Media

Transnational knowledge networks provide organizations with information useful in addressing shared problems. Social media may enable the formation of those networks, yet their role in the process has received little attention. This article examines the structure and antecedents of two networks facilitated by the microblogging platform Twitter operating in the policy domain of emergency management. One network includes national-level government agencies responsible for disaster response and recovery operations; the other includes nongovernmental organizations in the form of Red Cross and Red Crescent national societies. We use a logistic regression quadratic assignment procedure to test hypotheses derived from related literature. While findings indicate that shared language and geographic proximity shaped network formation, both networks exhibit boundary spanning behavior in which organizations sought out information from high-profile, resource-rich organizations. Those organizations helped to connect otherwise regionally bound clusters and demonstrate the nascent potential of social media to create global transnational knowledge networks.     

Policy Advocacy in Transitioning Regimes: Comparative Lessons from the Case of Harbour Protection in Hong Kong

Current research on policy advocacy relies exclusively on established regimes where instability is largely contained. Using the harbour protection advocacy in Hong Kong as an exploratory case, the article documents how conservationists exploited the unique opportunities arising from the transfer of sovereignty to advance heritage protection policy. Three new strategic choices in policy advocacy are identified. First, policy advocates strategically switched between issue frames instead of becoming strongly identified with any issue frame. Second, they avoided prolonged involvement by pursuing modest, programme-level adjustments. Third, they circumvented the restrictions on scope and focus by creating new venues outside of the policy subsystem.     

The Capitalocene,Part I: on the nature and origins of our ecological crisis

This essay, in two parts, argues for the centrality of historical thinking in coming to grips with capitalism’s planetary crises of the twenty-first century. Against the Anthropocene’s shallow historicization, I argue for the Capitalocene, understood as a system of power, profit and re/production in the web of life. In Part I, I pursue two arguments. First, I situate the Anthropocene discourse within Green Thought’s uneasy relationship to the Human/Nature binary, and its reluctance to consider human organizations – like capitalism – as part of nature. Next, I highlight the Anthropocene’s dominant periodization, which meets up with a longstanding environmentalist argument about the Industrial Revolution as the origin of ecological crisis. This ignores early capitalism’s environment-making revolution, greater than any watershed since the rise of agriculture and the first cities. While there is no question that environmental change accelerated sharply after 1850, and especially after 1945, it seems equally fruitless to explain these transformations without identifying how they fit into patterns of power, capital and nature established four centuries earlier.     

Taking Fact-Checks Literally But Not Seriously? The Effects of Journalistic Fact-Checking on Factual Beliefs and Candidate Favorability

Political Behavior - Are citizens willing to accept journalistic fact-checks of misleading claims from candidates they support and to update their attitudes about those candidates? Previous studies...     

How to build a time machine for public affairs executives

Temporal factors such as time and timing are so self‐evident in public affairs that they are rarely mentioned and even less frequently researched. Time is seen as the independent variable—a scaffold that underpins a calendar of communication events, legislative and regulatory processes, or issue lifecycles. However, time is a more complex and essential variable to contemplate than public affairs (and most other) executives give it credit for. This paper explores 16 unique ways to think about time, applying those dimensions to the Amazon HQ2 (second headquarters) selection process to illustrate how public affairs executives could use them to illuminate aspects of strategy and behavior they might otherwise not consider. Strategically, understanding interconnected dimensions of time improves clarity in the choice‐making process, allowing public affairs executives to exploit ideal timing as they execute their strategies.     

Cross-ideological discussions among conservative and liberal bloggers

With the increasing spread of information technologies and their potential to filter content, some have argued that people will abandon the reading of dissenting political opinions in favor of material that is closely aligned with their own ideological position. We test this theory empirically by analyzing—both quantitatively and qualitatively—Web links among the writings of top conservative and liberal bloggers. Given our use of novel methods, we discuss in detail our sampling and data collection methodologies. We find that widely read political bloggers are much more likely to link to others who share their political views. However, we find no increase in this pattern over time. We also analyze the content of the links and find that while many of the links are based on straw-man arguments, bloggers across the political spectrum also address each others’ writing substantively, both in agreement and disagreement.     

The Pharmacist's Obligations to Patients: Dependent or Independent of the Physician's Obligations?

It has been 40 years since the seminal papers on pharmacy's status as a profession sparked debate about the pharmacist's role in health care, yet the questions they raised are just as poignant today as they were then. Questions about whether pharmacists are the experts when it comes to drug therapy information can be answered practically by assessing the perception of pharmacists' obligations to patients as being dependent on or independent of physicians' responsibilities. Both options have important implications for pharmacy's status as a profession, the value that pharmacists can add to health care, and a pharmacist's right to deny a patient emergency contraception.