From Social Data Mining to Forecasting Socio-Economic Crisis

Socio-economic data mining has a great potential in terms of gaining a better understanding of problems that our economy and society are facing, such as financial instability, shortages of resources, or conflicts. Without large-scale data mining, progress in these areas seems hard or impossible. Therefore, a suitable, distributed data mining infrastructure and research centers should be built in Europe. It also appears appropriate to build a network of Crisis Observatories. They can be imagined as laboratories devoted to the gathering and processing of enormous volumes of data on both natural systems such as the Earth and its ecosystem, as well as on human techno-socio-economic systems, so as to gain early warnings of impending events. Reality mining provides the chance to adapt more quickly and more accurately to changing situations. Further opportunities arise by individually customized services, which however should be provided in a privacy-respecting way. This requires the development of novel ICT (such as a self- organizing Web), but most likely new legal regulations and suitable institutions as well. As long as such regulations are lacking on a world-wide scale, it is in the public interest that scientists explore what can be done with the huge data available. Big data do have the potential to change or even threaten democratic societies. The same applies to sudden and large-scale failures of ICT systems. Therefore, dealing with data must be done with a large degree of responsibility and care. Self-interests of individuals, companies or institutions have limits, where the public interest is affected, and public interest is not a sufficient justification to violate human rights of individuals. Privacy is a high good, as confidentiality is, and damaging it would have serious side effects for society.Comment: 65 pages, 1 figure, Visioneer White Paper, see http://www.visioneer.ethz.c

Watching You: Systematic Federal Surveillance of Ordinary Americans

To combat terrorism, Attorney General John Ashcroft has asked Congress to "enhance" the government's ability to conduct domestic surveillance of citizens. The Justice Department's legislative proposals would give federal law enforcement agents new access to personal information contained in business and school records. Before acting on those legislative proposals, lawmakers should pause to consider the extent to which the lives of ordinary Americans already are monitored by the federal government. Over the years, the federal government has instituted a variety of data collection programs that compel the production, retention, and dissemination of personal information about every American citizen. Linked through an individual's Social Security number, these labor, medical, education and financial databases now empower the federal government to obtain a detailed portrait of any person: the checks he writes, the types of causes he supports, and what he says "privately" to his doctor. Despite widespread public concern about preserving privacy, these data collection systems have been enacted in the name of "reducing fraud" and "promoting efficiency" in various government programs. Having exposed most areas of American life to ongoing government scrutiny and recording, Congress is now poised to expand and universalize federal tracking of citizen life. The inevitable consequence of such constant surveillance, however, is metastasizing government control over society. If that happens, our government will have perverted its most fundamental mission and destroyed the privacy and liberty that it was supposed to protect

Setting Standards for Fair Information Practice in the U.S. Private Sector

The confluence of plans for an Information Superhighway, actual industry self-regulatory practices, and international pressure dictate renewed consideration of standard setting for fair information practices in the U.S. private sector. The legal rules, industry norms, and business practices that regulate the treatment of personal information in the United States are organized in a wide and dispersed manner. This Article analyzes how these standards are established in the U.S. private sector. Part I argues that the U.S. standards derive from the influence of American political philosophy on legal rule making and a preference for dispersed sources of information standards. Part II examines the aggregation of legal rules, industry norms, and business practice from these various decentralized sources. Part III ties the deficiencies back to the underlying U.S. philosophy and argues that the adherence to targeted standards has frustrated the very purposes of the narrow, ad hoc regulatory approach to setting private sector standards. Part IV addresses the irony that European pressure should force the United States to revisit the setting of standards for the private sector

Exploring the Application Potential of the Large Language Model in Sociological Research: A Case Study of ChatGPT

With the exponential growth of Big Data and Artificial Intelligence (AI), large Language models have emerged as powerful tools in sociological research. As an advanced large Language model, ChatGPT has the unique ability to generate natural language dialogues, opening up new avenues for sociological research. This paper employs ChatGPT as a case study to explore the application potential of large Language models in sociological research, including social network analysis, sentiment analysis, opinion mining and social public opinion monitoring. Additionally, we discuss the various challenges encountered by large Language models in sociological research, such as privacy, ethical, interpretability and credibility issues. Finally, some recommendations to overcome these challenges and prospective research directions are provided

The Court, FCC and Internet Policy: Partly with

The paper aims to explore the contour of internet regulation with a thread of Brand X , which navigates through constitutionalism, separation of powers, as well as business and economic or political implications enshrined behind it. An exemplary insight with the Korean case was adverted that could lead to the comparative perspective of internet law and regulation for the future research. The research was conducted by employing qualitative investigation, mainly relying on textual analysis and documentary examination. The outcome of research generally corroborates with our assumption that i) the increasing administrative state will variegate the traditional interplay of three branches, ii) expert bureaucracy stands at the core of policy shaping because of the necessary new concept of market and policy specialization, iii) the role of US government is not only pioneering, but also influential as a regulator, but comparatively with differing national jurisdictions if not a negligible implications on the international competition or even conflict

Open Research

Open Research is an open textbook based on the award winning course of the same name. The course ran two facilitated iterations during 2014 and 2015 on Peer 2 Peer University (P2PU). Open Research was co-authored and delivered by the OER Hub team, leaders in open education research and open research practices. Open Research explores what it means to be more 'open' in your research, ethical considerations, dissemination and the role of reflection. This open textbook also incorporates previous participant contributions into new activity commentary sections