It has been recently suggested that if the Extended Mind thesis is true, mental privacy might be under serious threat. In this paper, I look into the details of this claim and propose that one way of dealing with this emerging threat requires that data ontology be enriched with an additional kind of data—viz., mental data. I explore how mental data relates to both data and metadata and suggest that, arguably, and by contrast with these existing categories of informational (...) content, mental data should not be merely legally protected. Rather, if we value mental privacy as we know it, technological measures should be employed to ensure that one’s mental data are practically—not just legally—impossible for others to obtain. (shrink)

Consciousness is based on the association of notions or a neural network. Similarly, the creation of the next generation Internet (semantic web) is impossible without attributes that allow the semantic association of documents and their integration into an information context. To achieve these goals, the Universal Metadata Standard (UMS) may serve as a basis for documentography and is functionally required for interpretation of documents by automatic operating systems.

This research aimed to investigate the status of children-specific metadata elements in theory (existing literature) and practice (metadata standards and children’s digital libraries). Literature reviews as well as two cases, including children’s online national libraries of Iran, and Singapore, are used to identify children-specific metadata elements and their application. The results revealed that descriptive metadata types had been mentioned more than analytical, social, and relational types; the DCMI metadata standard, besides LOM and ALTO metadata (...) standards, can be used to develop an application profile for children’s library catalogs. Two cases showed that they partially cover children-specific metadata elements, and neither has covered relational metadata elements. A deeper analysis of the children-specific metadata elements suggests that children’s catalogs should be semantic and social. The results of this study can be insightful for children’s book catalogers and children’s book publishers (for marketing purposes). (shrink)

Meta­data in various forms pervades our institutions, technologies, and daily lives. Meta­data is a distinct focus of academic research and professional practice for many people within the library and information sciences (LIS). This article is an exploration of the concept of “meta­data.” It presents a high-level introduction to the topic with analysis of key research problems and practical challenges. The paper discusses varying understandings of what “meta­data” means, the origin and evolution of meta­data as an important topic within information and (...) data fields, and the central characteristics of that which gets called “meta­data.” Meta­data can be understood as both process and product and can result from both human effort and computational techniques. Given the central role meta­data have in the establishment of know­ledge, evidence, and truth, it is necessary for researchers and professionals within LIS to think critically about our meta­data practices and systems. (shrink)

Metadata helps users locate resources that meet their specific needs. But metadata also helps us to understand the data we find and helps us to evaluate what we should spend our time on. Traditionally, staff at libraries, archives, and museums (LAMs) create metadata for the content they manage. However, social metadata—content contributed by users—is evolving as a way to both augment and recontextualize the content and metadata created by LAMs. Many cultural heritage institutions are interested (...) in gaining a better understanding of social metadata and also learning how to best utilize their users' expertise to enrich their descriptive metadata and improve their users' experiences. (shrink)

Decisions of regulatory government bodies and courts affect many aspects of citizens’ lives. These organizations and courts are expected to provide timely and coherent decisions, although they struggle to keep up with the increasing demand. The ability of machine learning (ML) models to predict such decisions based on past cases under similar circumstances was assessed in some recent works. The dominant conclusion is that the prediction goal is achievable with high accuracy. Nevertheless, most of those works do not consider important (...) aspects for ML models that can impact performance and affect real-world usefulness, such as consistency, out-of-sample applicability, generality, and explainability preservation. To our knowledge, none considered all those aspects, and no previous study addressed the joint use of metadata and text-extracted variables to predict administrative decisions. We propose a predictive model that addresses the abovementioned concerns based on a two-stage cascade classifier. The model employs a first-stage prediction based on textual features extracted from the original documents and a second-stage classifier that includes proceedings’ metadata. The study was conducted using time-based cross-validation, built on data available before the predicted judgment. It provides predictions as soon as the decision date is scheduled and only considers the first document in each proceeding, along with the metadata recorded when the infringement is first registered. Finally, the proposed model provides local explainability by preserving visibility on the textual features and employing the SHapley Additive exPlanations (SHAP). Our findings suggest that this cascade approach surpasses the standalone stages and achieves relatively high Precision and Recall when both text and metadata are available while preserving real-world usefulness. With a weighted F1 score of 0.900, the results outperform the text-only baseline by 1.24% and the metadata-only baseline by 5.63%, with better discriminative properties evaluated by the receiver operating characteristic and precision-recall curves. (shrink)

The article reassesses the renown ‘critical iconology’ practiced by Aby Warburg and confronts it with recent theories regarding metadata and the curatorship of information. A close examination of Robert Kitaj’s portrait Warburg as a Maenad (1961–62) affirms Warburg’s ‘combinatory experiments’ (Christopher D. Johnson) to be a main characteristic of his practice. Warburg seems to have operated by applying what can now be described as metadata to the processes of transmission of culture he was accessing in form of migrating (...) images. Further, the insights he was able to gain, namely his famous notion of the ‘Pathosformel’, may have to be considered as a specific form of metadata too. This is of particular interest acknowledging that in the digital world the migration of images takes mainly place in the realm of metadata. Hence ideas put forward by Warburg are able contribute to a deeper understanding of such phenomena. (shrink)

The article reassesses the renown ‘critical iconology’ practiced by Aby Warburg and confronts it with recent theories regarding metadata and the curatorship of information. A close examination of Robert Kitaj’s portrait Warburg as a Maenad affirms Warburg’s ‘combinatory experiments’ to be a main characteristic of his practice. Warburg seems to have operated by applying what can now be described as metadata to the processes of transmission of culture he was accessing in form of migrating images. Further, the insights (...) he was able to gain, namely his famous notion of the ‘Pathosformel’, may have to be considered as a specific form of metadata too. This is of particular interest acknowledging that in the digital world the migration of images takes mainly place in the realm of metadata. Hence ideas put forward by Warburg are able contribute to a deeper understanding of such phenomena. (shrink)

This paper initially follows the final part of the debate between singularism and descriptivism to the point of convergence, and discusses the notion of acquaintanceless singular thought. Then a sketch of a mental files model is presented. Firstly, the triggering mechanisms for opening files are discussed. Two kinds of discourse situations, acquaintance-situations and decoding-situations, are identified and different triggering mechanisms are postulated for each. Secondly, a bipartite structure of a file is introduced, combining an objectual part, encompassing what traditionally has (...) been associated with the notion of a mental file, serving the purpose of storing information about the referent of the file, and a metadata part, serving the purpose of storing information about the file itself. Being capable of encoding a variety of types of mental files, this structure is then employed to illustrate how singularity/descriptivity of the files can be manipulated and how we can account for the cognitive discernibility of files containing identical objectual information and grounded with the same acquaintance relations. (shrink)

The central topic of this paper is a mobile phone application, ‘InformaCam’, which turns metadata from a surveillance risk into a method for the production of public proof. InformaCam allows one to manage and delete metadata from images and videos in order to diminish surveillance risks related to online tracking. Furthermore, it structures and stores the metadata in such a way that the documentary material becomes better accommodated to evidentiary settings, if needed. In this paper I propose (...) InformaCam should be interpreted as a ‘forensic device’. By using the conceptualization of forensics and work on socio-technical devices the paper discusses how InformaCam, through a range of interventions, rearranges metadata into a technology of evidence. InformaCam explicitly recognizes mobile phones as context aware, uses their sensors, and structures metadata in order to facilitate data analysis after images are captured. Through these modifications it invents a form of ‘sensory data forensics'. By treating data in this particular way, surveillance resistance does more than seeking awareness. It becomes engaged with investigatory practices. Considering the extent by which states conduct metadata surveillance, the project can be seen as a timely response to the unequal distribution of power over data. (shrink)

The field of epistemic logic developed into an interdisciplinary area focused on explicating epistemic issues in, for example, artificial intelligence, computer security, game theory, economics, multiagent systems and the social sciences. Inspired, in part, by issues in these different ‘application’ areas, in this paper I propose an epistemic logic T for metadata extracted from scientific papers on COVID-19. More in details, I introduce a structure S to syntactically and semantically modelling metadata extracted with systems for extracting structured (...) class='Hi'>metadata from scientific articles in a born-digital form. These systems will be considered, in the logical model created, as ‘Metadata extraction agents’. In this case MEA taken into consideration are CERMINE and TeamBeam. In an increasingly data-driven world, modelling data or metadata means to help systematise existing information and support the research community in building solutions to the COVID-19 pandemic. (shrink)

Libraries provide access to large amounts of library metadata. Unfortunately, many libraries only offer textual interfaces for searching and browsing their holdings. Visualizations provide simpler, faster, and more efficient ways to navigate, search and study large quantities of metadata. This paper presents GlamMap, a visualization tool that displays library metadata on an interactive, computer-generated geographic map. We provide detailed discussion of how GlamMap benefits the work of librarians and researchers. We show how geographic representations help librarians to (...) perform tasks such as collection assessment and how geographic information helps researchers to identify important scientific resources. (shrink)

In discussions of state surveillance, the values of privacy and security are often set against one another, and people often ask whether privacy is more important than national security.2 I will argue that in one sense privacy is more important than national security. Just what more important means is its own question, though, so I will be more precise. I will argue that national security rationales cannot by themselves justify some kinds of encroachments on individual privacy (including some kinds that (...) the United States has conducted). Specifically, I turn my attention to a recent, well publicized, and recently amended statute (section 215 of the USA Patriot Act3), a surveillance program based on that statute (the National Security Agency’s bulk metadata collection program), and a recent change to that statute that addresses some of the public controversy surrounding the surveillance program (the USA Freedom Act).4 That process (a statute enabling surveillance, a program abiding by that statute, a public controversy, and a change in the law) looks like a paradigm case of law working as it should; but I am not so sure. While the program was plausibly legal, I will argue that it was morally and legally unjustifiable. Specifically, I will argue that the interpretations of section 215 that supported the program violate what Jeremy Waldron calls “legal archetypes,”5 and that changes to the law illustrate one of the central features of legal archetypes and violation of legal archetypes. The paper proceeds as follows: I begin in Part 1 by setting out what I call the “basic argument” in favor of surveillance programs. This is strictly a moral argument about the conditions under which surveillance in the service of national security can be justified. In Part 2, I turn to section 215 and the bulk metadata surveillance program based on that section. I will argue that the program was plausibly legal, though based on an aggressive, envelope-pushing interpretation of the statute. I conclude Part 2 by describing the USA Freedom Act, which amends section 215 in important ways. In Part 3, I change tack. Rather than offering an argument for the conditions under which surveillance is justified (as in Part 1), I use the discussion of the legal interpretations underlying the metadata program to describe a key ambiguity in the basic argument, and to explain a distinct concern in the program. Specifically that it undermines a legal archetype. Moreover, while the USA Freedom Act does not violate legal archetypes, and hence meets a condition for justifiability, it helps illustrate why the bulk metadata program did violate archetypes. (shrink)

In this article we develop a logical model for automatic extraction of structured metadata. We introduce a new predicate???? – reads ‘extract’ – and a structure???? to syntactically and semantically define metadata extracted with any automatic metadata extraction system. These systems will be considered, in the logical model created, as knowledge extraction agents. In this case KEA taken into consideration is CERMINE, a comprehensive open-source system for extracting structured metadata from scientific articles in a born-digital form.

Disputes at the intersection of national security, surveillance, civil liberties, and transparency are nothing new, but they have become a particularly prominent part of public discourse in the years since the attacks on the World Trade Center in September 2001. This is in part due to the dramatic nature of those attacks, in part based on significant legal developments after the attacks (classifying persons as “enemy combatants” outside the scope of traditional Geneva protections, legal memos by White House counsel providing (...) rationale for torture, the USA Patriot Act), and in part because of the rapid development of communications and computing technologies that enable both greater connectivity among people and the greater ability to collect information about those connections. -/- One important way in which these questions intersect is in the controversy surrounding bulk collection of telephone metadata by the U.S. National Security Agency. The bulk metadata program (the “metadata program” or “program”) involved court orders under section 215 of the USA Patriot Act requiring telecommunications companies to provide records about all calls the companies handled and the creation of database that the NSA could search. The program was revealed to the general public in June 2013 as part of the large document leak by Edward Snowden, a former contractor for the NSA. -/- A fair amount has been written about section 215 and the bulk metadata program. Much of the commentary has focused on three discrete issues. First is whether the program is legal; that is, does the program comport with the language of the statute and is it consistent with Fourth Amendment protections against unreasonable searches and seizures? Second is whether the program infringes privacy rights; that is, does bulk metadata collection diminish individual privacy in a way that rises to the level that it infringes persons’ rights to privacy? Third is whether the secrecy of the program is inconsistent with democratic accountability. After all, people in the general public only became aware of the metadata program via the Snowden leaks; absent those leaks, there would have not likely been the sort of political backlash and investigation necessary to provide some kind of accountability. -/- In this chapter I argue that we need to look at these not as discrete questions, but as intersecting ones. The metadata program is not simply a legal problem (though it is one); it is not simply a privacy problem (though it is one); and it is not simply a secrecy problem (though it is one). Instead, the importance of the metadata program is the way in which these problems intersect and reinforce one another. Specifically, I will argue that the intersection of the questions undermines the value of rights, and that this is a deeper and more far-reaching moral problem than each of the component questions. (shrink)

In an increasingly data-driven world, the question of data – or metadata – veracity is now a central issue not only in the world of information but also in the legal one. Data veracity describes a closeness to truth on a higher level than a measure such as accuracy does. High veracity data is data that can be relied upon when making decisions, thus reducing the risk of basing choices on untrue information. The article uses epistemic logic to model (...) structured metadata automatically extracted from legal papers, and the tools of metaontology to propose a definition of veracity as truthmaker. (shrink)

The practice of making datasets publicly available for use by the wider scientific community has become firmly integrated in genomic science. One significant gap in literature around data sharing concerns how it impacts on scientists’ ability to preserve values and ethical standards that form an essential component of scientific collaborations. We conducted a qualitative sociological study examining the potential for harm to ethnic groups, and implications of such ethical concerns for data sharing. We focused our empirical work on the MalariaGEN (...) Consortium, one of the first international collaborative genomics research projects in Africa. (shrink)

In claiming that metadata possess the power to put historical awareness into the act of listening, this article examines digital music use as an aesthetic situation driven by potentialities of becoming. Working from a theoretical foundation amalgamating digital music archives and metadata as environments the article discusses Georgina Born’s notion of musical assemblages alongside the concept of virtuality, and by letting these meet the article argues for a musical assemblage built from sensibilities of becoming rather than layers of (...) mediation. The inner workings of digital music use constitute an ecology in which recorded music history moves and reconnects, and this makes the historicity of recorded music be fluid, thus turning listening into a historicised action. In exemplifying this, the article discusses some of the strategic programming of metadata on the digital music platform Diskoteket, and through an analysis of sampled music, the prospects of recorded music’s historicity are shown as affective capacities. (shrink)

This chapter explores what we actually mean by data donation after death, and what different types of data donation metadata are involved in the process. It then provides an analysis of the ethical ramifications of each of these different types of data, outlines the concepts of data advance directives and data donation guardians as one way of dealing with these issues, and considers alternative governance mechanisms. The degree of control given to the first data donors may need to be (...) high in order to maintain trust, but over time attitudes may evolve towards everyone giving “big consent” to data donation. (shrink)

This package supplies the infrastructure for extending STEX macros with OMDoc metadata. This package is mainly intended for authors of STEX extension packages.

Linked data have the capability to open up and share materials, held in libraries, archives and museums, in ways that are restricted by many existing metadata standards. Specifically, LD interlinking can be used to enrich data and to improve data discoverability on the Web through interlinking related resources across datasets and institutions. However, there is currently a notable lack of interlinking across leading LD projects in LAMs, impacting upon the discoverability of their materials. This research describes the Novel Authoritative (...) Interlinking for Semantic Web Cataloguing in Libraries interlinking framework. Unlike existing interlinking frameworks, NAISC-L was designed specifically with the requirements of the LAM domain in mind. The framework was evaluated by Information Professionals, including librarians, archivists and metadata cataloguers, via three user-experiments including a think-aloud test, an online interlink creation test and a field test in a music archive. Across all experiments, participants achieved a high level of interlink accuracy, and usability measures indicated that IPs found NAISC-L to be useful and user-friendly. Overall, NAISC-L was shown to be an effective framework for engaging IPs in the process of LD interlinking, and for facilitating the creation of richer and more authoritative interlinks between LAM resources. NAISC-L supports the linking of related resource across datasets and institutions, thereby enabling richer and more varied search queries, and can thus be used to improve the discoverability of materials held in LAMs. (shrink)

In this paper, we present a case study of how well subject metadata (comprising headings from an international classification scheme) has been deployed in a national data catalogue, and how often data seekers use subject metadata when searching for data. Through an analysis of user search behaviour as recorded in search logs, we find evidence that users utilise the subject metadata for data discovery. Since approximately half of the records ingested by the catalogue did not include subject (...) metadata at the time of harvest, we experimented with automatic subject classification approaches in order to enrich these records and to provide additional support for user search and data discovery. Our results show that automatic methods work well for well represented categories of subject metadata, and these categories tend to have features that can distinguish themselves from the other categories. Our findings raise implications for data catalogue providers; they should invest more effort to enhance the quality of data records by providing an adequate description of these records for under-represented subject categories. (shrink)

According to the PubMed resource from the U.S. National Library of Medicine, over 750,000 scientific articles have been published in the ~5000 biomedical journals worldwide in the year 2007 alone. The vast majority of these publications include results from hypothesis-driven experimentation in overlapping biomedical research domains. Unfortunately, the sheer volume of information being generated by the biomedical research enterprise has made it virtually impossible for investigators to stay aware of the latest findings in their domain of interest, let alone to (...) be able to assimilate and mine data from related investigations for purposes of meta-analysis. While computers have the potential for assisting investigators in the extraction, management and analysis of these data, information contained in the traditional journal publication is still largely unstructured, free-text descriptions of study design, experimental application and results interpretation, making it difficult for computers to gain access to the content of what is being conveyed without significant manual intervention. In order to circumvent these roadblocks and make the most of the output from the biomedical research enterprise, a variety of related standards in knowledge representation are being developed, proposed and adopted in the biomedical community. In this chapter, we will explore the current status of efforts to develop minimum information standards for the representation of a biomedical experiment, ontologies composed of shared vocabularies assembled into subsumption hierarchical structures, and extensible relational data models that link the information components together in a machine-readable and human-useable framework for data mining purposes. (shrink)

In a recent article, Spyridon Palermos claims there is a significant difference between ordinary data (“the contents of electronic communications”) and mental data (Palermos 2023). He defines “ment...

We find ourselves in a media-intensive milieu comprising networks, images, sounds, and text, which we generalize as data and metadata. How can we understand this digital milieu and make sense of these data, not only focusing on their functionalities but also reflecting on our everyday life and existence? How do these material constructions demand a new philosophical understanding? Instead of following the reductionist approaches, which understand the digital milieu as abstract entities such as information and data, this article proposes (...) to approach it from an embodied perspective: objects. The article contrasts digital objects with natural objects (e.g., apples on the table) and technical objects (e.g., hammers) in phenomenological investigations, and proposes to approach digital objects from the concept of “relations,” on the one hand the material relations that are concretized in the development of mark-up languages, such as SGML, HTML, and XML, and on the other hand, Web ontologies, the temporal relations that are produced and conditioned by the artificial memories of data. (shrink)

This paper covers the home-made bombing used at the 2013 Boston Marathon annual races even though we knew before the trial began that the verdict will have to be 'guilty' because the people of Boston demanded that verdict and received the first lap of the verdict on 8 April 2015. Neither beautiful technical rulings nor breaches of prosecution disclosure rules nor metadata queries nor tampered evidence would have held sway at this trial.

We find ourselves in a media‐intensive milieu comprising networks, images, sounds, and text, which we generalize as data and metadata. How can we understand this digital milieu and make sense of these data, not only focusing on their functionalities but also reflecting on our everyday life and existence? How do these material constructions demand a new philosophical understanding? Instead of following the reductionist approaches, which understand the digital milieu as abstract entities such as information and data, this chapter proposes (...) to approach it from an embodied perspective: objects. The chapter contrasts digital objects with natural objects (e.g., apples on the table) and technical objects (e.g., hammers) in phenomenological investigations, and proposes to approach digital objects from the concept of “relations,” on the one hand the material relations that are concretized in the development of mark‐up languages, such as SGML, HTML, and XML, and on the other hand, Web ontologies, the temporal relations that are produced and conditioned by the artificial memories of data. (shrink)

This chapter addresses the morality of two types of national security electronic surveillance (SIGINT) programs: the analysis of communication “metadata” and dragnet searches for keywords in electronic communication. The chapter develops a standard for assessing coercive government action based on respect for the autonomy of inhabitants of liberal states and argues that both types of SIGINT can potentially meet this standard. That said, the collection of metadata creates opportunities for abuse of power, and so judgments about the trustworthiness (...) and competence of the government engaging in the collection must be made in order to decide whether metadata collection is justified in a particular state. Further, the moral standard proposed has a reflexive element justifying adversary states’ intelligence collection against one another. Therefore, high-tech forms of SIGINT can only be justified at the cost of justifying cruder versions of signals intelligence collection practiced by a state’s less-advanced adversaries. (shrink)

Collective Intelligence, the book in French, that Pierre Levy wrote before the existence of the worldwide web, when only the Internet existed, it's a philosophical vision of the future, a philosophical vision of what could be a global civilization based on the digital and the general interconnection of all the computers. In the interview, Levy addresses the creation o the WWW by Tim Berners Lee as a form of collective intelligence. He then discusses Berners Lee's proposal for a reform of (...) the WWW to avoid its confiscation by the big platforms, such as Google, Facebook, and Amazon. Then, he introduces his most recent project the IELM as a tool for semantic metadata and a code between the natural languages and the algorithms, and all the apparatus of computations. (shrink)

Semantic Metadata, Humanist Computing and Digital Humanities, opens with an important interview with Pierre Lévy that reconstructs the key moments of his philosophical vision of the internet, and the World Wide Web, up to his most recent and highly innovative proposal of the Information Economy MetaLanguage. In the “Interventions” section our journal features an important reflection by Dino Buzzetti on the distinction between Humanities Computing and Digital Humanities. The essay, originally published in Italian, critically supports the rationales behind Humanities (...) Computing, characterized by a primary interest in methodological issues and their epistemological background. Buzzetti reconstructs accurately the history of this idea starting from the seminal works of scholars like Jean- Claude Gardin, who underlined the need for an awareness that computation applied to the humanities requires both representation, and information processing. The three projects that are introduced in the third part of the journal respond differently to the theoretical solicitations presented in the first two sections. Following the categories of Pierre Lévy, we should say that, even if in a different way, all three projects are the product of a collective intelligence and at the same time contribute to expand the knowledge of a physical territory or of a literary tradition, making the process of their digital processing transparent. (shrink)

Основой сознания является ассоциативная связь понятий, согласованная работа элементов нейрональной сети. Аналогично этому, создание интернета нового поколения (semantic web) невозможно без атрибутов, позволяющих осуществлять семантическую связь документов и интеграцию их в информационный контекст. Для реализации этих целей предлагается ввести Универсальный Стандарт Метаданных (universal metadata standard, ums), который мог бы служить основой документографии (documentography), функционально необходимой для интерпретации документов в автоматических операционных системах.

Environmental activism is crucial for raising public awareness and support toward addressing the climate crisis. However, using climate change mitigation as the cause for blockage, vandalism, and harassment activities might be counterproductive and risk causing negative repercussions and declining public support. The paper describes a dataset of metadata of 89 blockage, vandalism, and harassment events happening in recent years. The dataset comprises three main categories: 1) Events, 2) Activists, and 3) Consequences. For researchers interested in environmental activism, climate change, (...) and sustainability, the dataset is helpful in studying the effectiveness and appropriateness of strategies to raise public awareness and support. For researchers in the field of security studies and green criminology, the dataset offers resources to study features and impacts of blockage, vandalism, and harassment events. The Bayesian Mindsponge Framework (BMF) analytics was employed to validate the dataset. Consequently, the estimated result aligns with the Mindsponge Theory’s theoretical reasoning. (shrink)

The words we call slurs are just plain vanilla descriptions like ‘cowboy’ and ‘coat hanger’. They don't semantically convey any disparagement of their referents, whether as content, conventional implicature, presupposition, “coloring” or mode of presentation. What distinguishes 'kraut' and 'German' is metadata rather than meaning: the former is the conventional description for Germans among Germanophobes when they are speaking in that capacity, in the same way 'mad' is the conventional expression that some teenagers use as an intensifier when they’re (...) emphasizing that social identity. That is, racists don’t use slurs because they’re derogatory; slurs are derogatory because they’re the words that racists use. To use a slur is to exploit the Maxim of Manner (or Levinson’s M-Principle) to signal one’s affiliation with a group that has a disparaging attitude towards the slur’s referent. This account is sufficient to explain all the familiar properties of slurs, such as their speaker orientation and “nondetachability,” with no need of additional linguistic mechanisms. It also explains some features of slurs that are rarely if ever explored; for example the variation in tone and strength among the different slurs for a particular group, the existence of words we count as slurs, such as 'redskin', which almost all of their users consider to be respectful, and the curious absence in Standard English of any commonly used slurs—by which I mean words used to express a negative attitude toward an entire group—for Muslims and women. (shrink)

The prelims comprise: Introduction Semantic Information The Mathematical Theory of Communication Some Philosophical Approaches to Semantic Information Conclusion Acknowledgments Some Web Resources.

Background Retraction is a mechanism for alerting readers to unreliable material and other problems in the published scientific and scholarly record. Retracted publications generally remain visible and searchable, but the intention of retraction is to mark them as “removed” from the citable record of scholarship. However, in practice, some retracted articles continue to be treated by researchers and the public as valid content as they are often unaware of the retraction. Research over the past decade has identified a number of (...) factors contributing to the unintentional spread of retracted research. The goal of the Reducing the Inadvertent Spread of Retracted Science: Shaping a Research and Implementation Agenda (RISRS) project was to develop an actionable agenda for reducing the inadvertent spread of retracted science. This included identifying how retraction status could be more thoroughly disseminated, and determining what actions are feasible and relevant for particular stakeholders who play a role in the distribution of knowledge. -/- Methods These recommendations were developed as part of a year-long process that included a scoping review of empirical literature and successive rounds of stakeholder consultation, culminating in a three-part online workshop that brought together a diverse body of 65 stakeholders in October–November 2020 to engage in collaborative problem solving and dialogue. Stakeholders held roles such as publishers, editors, researchers, librarians, standards developers, funding program officers, and technologists and worked for institutions such as universities, governmental agencies, funding organizations, publishing houses, libraries, standards organizations, and technology providers. Workshop discussions were seeded by materials derived from stakeholder interviews (N = 47) and short original discussion pieces contributed by stakeholders. The online workshop resulted in a set of recommendations to address the complexities of retracted research throughout the scholarly communications ecosystem. -/- Results The RISRS recommendations are: (1) Develop a systematic cross-industry approach to ensure the public availability of consistent, standardized, interoperable, and timely information about retractions; (2) Recommend a taxonomy of retraction categories/classifications and corresponding retraction metadata that can be adopted by all stakeholders; (3) Develop best practices for coordinating the retraction process to enable timely, fair, unbiased outcomes; and (4) Educate stakeholders about pre- and post-publication stewardship, including retraction and correction of the scholarly record. -/- Conclusions Our stakeholder engagement study led to 4 recommendations to address inadvertent citation of retracted research, and formation of a working group to develop the Communication of Retractions, Removals, and Expressions of Concern (CORREC) Recommended Practice. Further work will be needed to determine how well retractions are currently documented, how retraction of code and datasets impacts related publications, and to identify if retraction metadata (fails to) propagate. Outcomes of all this work should lead to ensuring retracted papers are never cited without awareness of the retraction, and that, in public fora outside of science, retracted papers are not treated as valid scientific outputs. (shrink)

ABSTRACT Google Ngram metadata reveal that the English phrase “rhetorical theory” is not that old, appearing on the scene in the latter half of the nineteenth century, and then picking up dramatically with critical and literary theory in the 1960s. How do we square this with familiar arguments that rhetorical theory is much, much older? In this forum contribution I argue that the long view applies to our contemporary rhetorical theory only if we equivocate. Much of what currently falls (...) under the heading “rhetorical theory” has little or nothing to do with the systematic conceptualization of persuasive discourse —general, posthuman, eco-, and materialist rhetorics are the most prominent counterexamples. Instead, around 1900, Gertrude Buck develops what I call the short and sharp view that prevails to this day: rhetorical theory offers reality figured by way of its alternatives. (shrink)

Using bibliographic metadata from 177 Philosophy Journals between 1950 and 2020, this article presents new data on the under- representation of women authors in philosophy journals across decades and across four different compounding factors. First, we examine how philosophy fits in comparison to other academic disciplines. Second, we consider how the regional academic context in which Philosophy Journals operate impacts on author gender proportions. Third, we consider how the regional specialization of a journal impacts on author gender proportions. Fourth, (...) and perhaps most interestingly, we consider the impact of author ethnicity on gender representation, and we examine the breakdown of author ethnicity across Philosophy Journals between 1950 and 2020. To our knowledge, this is the first work to offer an estimate for author ethnicity and gender in philosophy publications using a large- scale data set. We find that women authors are underrepresented in Philosophy Journals across time, across disciplines, across the globe, and regardless of ethnicity. (shrink)

Using bibliographic metadata from 177 Philosophy Journals between 1950 and 2020, this article presents new data on the under- representation of women authors in philosophy journals across decades and across four different compounding factors. First, we examine how philosophy fits in comparison to other academic disciplines. Second, we consider how the regional academic context in which Philosophy Journals operate impacts on author gender proportions. Third, we consider how the regional specialization of a journal impacts on author gender proportions. Fourth, (...) and perhaps most interestingly, we consider the impact of author ethnicity on gender representation, and we examine the breakdown of author ethnicity across Philosophy Journals between 1950 and 2020. To our knowledge, this is the first work to offer an estimate for author ethnicity and gender in philosophy publications using a large- scale data set. We find that women authors are underrepresented in Philosophy Journals across time, across disciplines, across the globe, and regardless of ethnicity. (shrink)

Patent landscaping is the process of finding patents related to a particular topic. It is important for companies, investors, governments, and academics seeking to gauge innovation and assess risk. However, there is no broadly recognized best approach to landscaping. Frequently, patent landscaping is a bespoke human-driven process that relies heavily on complex queries over bibliographic patent databases. In this paper, we present Automated Patent Landscaping, an approach that jointly leverages human domain expertise, heuristics based on patent metadata, and machine (...) learning to generate high-quality patent landscapes with minimal effort. In particular, this paper describes a flexible automated methodology to construct a patent landscape for a topic based on an initial seed set of patents. This approach takes human-selected seed patents that are representative of a topic, such as operating systems, and uses structure inherent in patent data such as references and class codes to “expand” the seed set to a set of “probably-related” patents and anti-seed “probably-unrelated” patents. The expanded set of patents is then pruned with a semi-supervised machine learning model trained on seed and anti-seed patents. This removes patents from the expanded set that are unrelated to the topic and ensures a comprehensive and accurate landscape. (shrink)

The history of twentieth-century American psychology is often depicted as a history of the rise and fall of behaviorism. Although historians disagree about the theoretical and social factors that have contributed to the development of experimental psychology, there is widespread consensus about the growing and declining influence of behaviorism between approximately 1920 and 1970. Since such wide-scope claims about the development of American psychology are typically based on small and unrepresentative samples of historical data, however, the question rises to what (...) extent the received view is justified. This paper aims to answer this question in two ways. First, we use advanced scientometric tools to quantitatively analyze the metadata of 119.278 papers published in American journals between 1920 and 1970. We reconstruct the development and structure of American psychology using co-citation and co-occurrence networks and argue that the standard story needs reappraising. Second, we argue that the question whether behaviorism was the ‘dominant’ school of American psychology is historically misleading to begin with. Using the results of our bibliometric analyses, we argue that questions about the development of American psychology deserve more fine-grained answers. (shrink)

This study investigates the types of misinformation spread on Twitter that evokes scientific authority or evidence when making false claims about the antimalarial drug hydroxychloroquine as a treatment for COVID-19. Specifically, we examined tweets generated after former U.S. President Donald Trump retweeted misinformation about the drug using an unsupervised machine learning approach called the biterm topic model that is used to cluster tweets into misinformation topics based on textual similarity. The top 10 tweets from each topic cluster were content coded (...) for three types of misinformation categories related to scientific authority: medical endorsements of hydroxychloroquine, scientific information used to support hydroxychloroquine’s use, and a comparison group that included scientific evidence opposing hydroxychloroquine’s use. Results show a much higher volume of tweets featuring medical endorsements and use of supportive scientific information compared to accurate and updated scientific evidence, that misinformation-related tweets propagated for a longer time frame, and the majority of hydroxychloroquine Twitter discourse expressed positive views about the drug. Metadata from Twitter accounts found that prominent users within misinformation discourse were more likely to have media or political affiliation and explicitly expressed support for President Trump. Conversely, prominent accounts within the scientific opposition discourse primarily consisted of medical doctors or scientists but had far less influence in the Twitter discourse. Implications of these findings and connections to related social media research are discussed, as well as cognitive mechanisms for understanding susceptibility to misinformation and strategies to combat misinformation spread via online platforms. (shrink)

The COVID‐19 pandemic has infected millions around the world. Governments initially responded by requiring businesses to close and citizens to self‐isolate, as well as funding vaccine research and implementing a range of technologies to monitor and limit the spread of the disease. This article considers the use of smartphone metadata and Bluetooth applications for public health surveillance purposes in relation to COVID‐19. It undertakes ethical analysis of these measures, particularly in relation to collective moral responsibility, considering whether citizens ought, (...) or should be compelled, to comply with government measures. (shrink)

Research on the division of cognitive labor has found that adults and children as young as age 5 are able to find appropriate experts for different causal systems. However, little work has explored how children and adults decide when to seek out expert knowledge in the first place. We propose that children and adults rely on “mechanism metadata,” information about mechanism information. We argue that mechanism metadata is relatively consistent across individuals exposed to similar amounts of mechanism information, (...) and it is applicable to a wide range of causal systems. In three experiments, we show that adults and children as young as 5 years of age have a consistent sense of the causal complexity of different causal systems, and that this sense of complexity is related to decisions about when to seek expert knowledge, but over development there is a shift in focus from procedural information to internal mechanism information. (shrink)

Traditionally, empiricism has relied on the specialness of human observation, yet science is rife with sophisticated instrumentation and techniques. The present article advances a conception of empirical evidence applicable to actual scientific practice. I argue that this conception elucidates how the results of scientific research can be repurposed across diverse epistemic contexts: it helps to make sense of how evidence accumulates across theory change, how different evidence can be amalgamated and used jointly, and how the same evidence can be used (...) to constrain competing theories in the service of breaking local underdetermination. (shrink)

The experience of organizing the educational process during the quarantine caused by the COVID-19 pandemic is considered. Using of interactive technologies that allow organizing instant audio communication with a remote audience, as well as intelligent tools based on artificial intelligence that can help educational institutions to work more efficiently. Examples of sufficient use of artificial intelligence in distance learning are given. Particular attention is paid to the development of intelligent chatbots intended for use in communications with students of online courses (...) of educational web portals. The use of technologies of ontology formation based on automatic extraction of concepts from external sources is offered, what can lead to greater acceleration of construction of the intellectual component of chatbots. Artificial intelligence tools can become an essential part of distance learning during this global COVID-19 pandemic. While educational institutions are closed to quarantine and many of them transitioned to distance learning lecturers and schoolteachers, as well as students and schoolchildren faced with the necessity to study in this new reality. The impact of these changes depends on people's ability to learn and on the role that the education system will play in meeting the demand for quality and affordable training. The experience of organizing the educational process at the University of Education Management of the National Academy of Pedagogical Sciences of Ukraine in the quarantine caused by the COVID-19 pandemic showed that higher and postgraduate institutions were mostly ready to move to distance learning. However, most distance learning systems, on whatever platform they are organized, need to be supplemented: the ability to broadcast video, providing fast transmission of various types of information, receiving instant feedback when voting, polls and more. The structure of each section of the training course for the online learning system should fully cover the training material and meet all the objectives of the course. Appropriate language should be used, and wording, syntax, and presentation of tasks should be considered. One of the areas of application of artificial intelligence technologies in online learning is the use of chatbots which are characterrized by the following properties. It is advisable to use computer ontologies to ensure the intellectualization of chatbots. In this case, the metadata must be understandable to both humans and software and meet the requirements of modern standards in the field of information technology. The extraction of concepts from external data sources was carried out to build the ontology. (shrink)

ABSTRACTThe presence of emotional words and content in stories has been shown to enhance a story’s memorability, and its cultural success. Yet, recent cultural trends run in the opposite direction. Using the Google Books corpus, coupled with two metadata-rich corpora of Anglophone fiction books, we show a decrease in emotionality in English-speaking literature starting plausibly in the nineteenth century. We show that this decrease cannot be explained by changes unrelated to emotionality, and that, in our three corpora, the decrease (...) is driven almost entirely by a decline in the proportion of positive emotion-related words, while the frequency of negative emotion-related words shows little if any decline. Consistently with previous studies, we also find a link between ageing and negative emotionality at the individual level. (shrink)