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Crisis motivates people to track news closely, and this increased engagement can expose individuals to politically sensitive information unrelated to the initial crisis. We use the case of the COVID-19 outbreak in China to examine how crisis affects information seeking in countries that normally exert significant control over access to media. The crisis spurred censorship circumvention and access to international news and political content on websites blocked in China. Once individuals circumvented censorship, they not only received more information about the crisis itself but also accessed unrelated information that the regime has long censored. Using comparisons to democratic and other authoritarian countries also affected by early outbreaks, the findings suggest that people blocked from accessing information most of the time might disproportionately and collectively access that long-hidden information during a crisis. Evaluations resulting from this access, negative or positive for a government, might draw on both current events and censored history.

\"Public access to government information forms the foundation of a healthy liberal democracy, but because this information can be precarious, it needs stewardship. Government Information in Canada provides analysis about the state of Canadian government information publishing. Practitioners from across the country draw on decades of experience and hands-on practice to offer a broad, well-founded survey of history, procedures, and emerging issues--particularly the challenges posed by the transition of government information from print to digital access. This is an indispensable book for librarians, archivists, researchers, journalists, and everyone who uses government information and wants to know more about its publication, circulation, and retention\"-- Provided by publisher.

This study aims to determine a model for improving the self-capacity of small-scale buffalo farmers in Pemalang Regency, Indonesia. Primary data was collected from buffalo farmers in Pemalang Regency through a survey. Sub-districts were randomly selected as many as 4 out of 14 sub-districts. Two villages were selected for each sub-district. Each selected village was taken as a census respondent. A total of 226 respondents were obtained. The analysis used in this research is descriptive and Structural Equational Modeling - Partial Least Square (SEM PLS) analysis. The study results show buffalo farmers in Pemalang Regency have low to moderate self-capacity so that the number of livestock owned is relatively fixed yearly to raise livestock as savings and social status. Farmers' self-capacity must be improved by training and counselling through farmer groups. Access to capital and access to information affects farmers' skills in marketing, provision of feed, and handling of livestock reproduction.

The advent of the Internet, with sophisticated algorithmic search engines, has made accessing information as easy as lifting a finger. No longer do we have to make costly efforts to find the things we want. We can \"Google\" the old classmate, find articles online, or look up the actor who was on the tip of our tongue. The results of four studies suggest that when faced with difficult questions, people are primed to think about computers and that when people expect to have future access to information, they have lower rates of recall of the information itself and enhanced recall instead for where to access it. The Internet has become a primary form of external or transactive memory, where information is stored collectively outside ourselves.

\"Using conceptual innovations and case studies, this book clarifies the much-discussed but understudied phenomena of leaking and whistleblowing, with a particular focus on the collaborative networks that make the extraction and publication of secrets possible\"-- Provided by publisher.

[Purpose/Significance] Information ecology, as a kind of overall scenario of user information interaction behavior, reveals the basic logic of information flow among information elements in a particular environment. The study of information ecology in traditional information environment has been relatively mature. With the arrival of the metaverse, its characteristics of virtualization, immersion and decentralization have transformed user information interaction behavior, which in turn has brought about changes of the ecological interaction mechanism. We need to analyze the ecological mechanism of information interaction in the metaverse environment, in order to provide reference for relevant information theory research and promote the birth of metaverse informatics. [Method/Process] This paper stands on the information ecology perspective, takes the four ecological elements of information people, information, information environment and information technology as the entry point, and divides the information interaction ecology under the metaverse environment into three layers of architecture: information interaction, information data and information technology. Among them, the information interaction layer contains information users and information environment. Unlike the information ecological chain, each information user in the information interaction ecology under the metaverse environment is an integration of information producer, transmitter and consumer. Unlike the linear information flow in the information ecological chain, the information flow in the metaverse will show a wave-like diffusion. The information data layer provides the information resources in the information interaction ecology, and in this layer, we discuss the process from production to management of information resources under the metaverse environment. The information technology layer is the implementation path and basic support of the whole information interaction ecology, and in this layer we introduce several information technologies commonly used in the metaverse information interaction ecology. Through the above three-layer architecture, we have discussed the ecological composition of information interaction, information interaction logic, and information movement process as a whole to constitute the user information ecological mechanism under the metaverse enviornment. [Results/Conclusions] This paper constructs an ecological mechanism of user information interaction in the metaverse with a hierarchical architecture from the physical environment to the interaction scene, and provides strategies for the development of this mechanism from the perspectives of user, resource, technology, and governance. Taking the metaverse as the theoretical background, this study re-examines and expands the traditional information ecology theory, with the aim to provide a boost to the development of metaverse informatics. It is worth stating that the ecological mechanism of metaverse information interaction proposed in this paper is a theoretical prediction based on existing research, and the empirical conditions are insufficient.

\"This book narrates the development of science and intelligence information systems and technologies in the U.S. from World War II through today. The story ranges from a description of the information systems and machines of the 1940s to the rise of a huge international science information industry, and to the 1990's Open Access-Open Culture\"-- Provided by publisher.

The increasing availability of online content these days raises several questions about effective access to information. In particular, the possibility for almost everyone to generate content with no traditional intermediary, if on the one hand led to a process of “information democratization”, on the other hand, has negatively affected the genuineness of the information disseminated. This issue is particularly relevant when accessing health information, which impacts both the individual and societal level. Often, laypersons do not have sufficient health literacy when faced with the decision to rely or not rely on this information, and expert users cannot cope with such a large amount of content. For these reasons, there is a need to develop automated solutions that can assist both experts and non-experts in discerning between genuine and non-genuine health information. To make a contribution in this area, in this paper we proceed to the study and analysis of distinct groups of features and machine learning techniques that can be effective to assess misinformation in online health-related content, whether in the form of Web pages or social media content. To this aim, and for evaluation purposes, we consider several publicly available datasets that have only recently been generated for the assessment of health misinformation under different perspectives.