Social media has become a basis for helping us maintain human contact, especially as our alienation from our phenomenological experiences of ‘being human’ is becoming apparent due to the pandemic. I argue for how existentialist philosophy is crucial, more than ever, to interrogate our social media usage, which is a ‘necessary evil’ in our daily lives. Firstly, Kierkegaard’s critiques of the crowd and of the press are equally applicable to social media, which plays both roles: enabling an anonymous mass of (...) public opinion and doubling-up as an information source, reducing responsibility on the individual. Secondly, social media leads to an intrinsic pressure to objectify one's self (as portrayed) due to the possibility of an omnipresent Other, based on the technological design of networks. I will link my arguments on social media to other existential ideals and will conclude by suggesting changes that may promote existential ideals in one’s social media portrayal and engagement. (shrink)

This paper discusses how an interactive artwork, the Crowd-Sourced Intelligence Agency, can contribute to discussions of Big Data intelligence analytics. The CSIA is a publicly accessible Open Source Intelligence system that was constructed using information gathered from technical manuals, research reports, academic papers, leaked documents, and Freedom of Information Act files. Using a visceral heuristic, the CSIA demonstrates how the statistical correlations made by automated classification systems are different from human judgment and can produce false-positives, as well as how the (...) display of information through an interface can affect the judgment of an intelligence agent. The public has the right to ask questions about how a computer program determines if they are a threat to national security and to question the practicality of using statistical pattern recognition algorithms in place of human judgment. Currently, the public’s lack of access to both Big Data and the actual datasets intelligence agencies use to train their classification algorithms keeps the possibility of performing effective sous-dataveillance out of reach. Without this data, the results returned by the CSIA will not be identical to those of intelligence agencies. Because we have replicated how OSINT is processed, however, our results will resemble the type of results and mistakes made by OSINT systems. The CSIA takes some initial steps toward contributing to an informed public debate about large-scale monitoring of open source, social media data and provides a prototype for counterveillance and sousveillance tools for citizens. (shrink)

Using Big Data to better understand urban questions is an exciting field with challenging methodological and theoretical problems. It is also, however, potentially troubling when Big Data is applied uncritically to urban governance via the ideas and practices of “smart cities”. This essay reviews both the historical depth of central ideas within smart city governance —particular the idea that enough data/information/knowledge can solve society problems—but also the ways that the most recent version differs. Namely, that the motivations and ideological underpinning (...) behind the goal of urban betterment is largely driven by technology advocates and neoliberalism rather than the strong social justice themes associated with earlier applications of data to cities. Geosocial media data and metrics derived from them can provide useful insight and policy direction. But one must be ever mindful that metrics don’t simply measure; in the process of deciding what is important and possible to measure, these data are simultaneously defining what cities are. (shrink)

This paper discusses the implications for public participation in science opened by the sharing of information via electronic media. The ethical dimensions of information flow and control are linked to questions of autonomy, authority and appropriate exploitation of knowledge. It argues that, by lowering the boundaries that limit access and participation by wider active audiences, both scientific identity and practice are challenged in favor of extra-disciplinary and avocational communities such as scientific enthusiasts and lay experts. Reconfigurations of hierarchy, mediated by (...) new channels of information flow, are increasingly visible at the interface between professional and non-professional practice. Setting the scene by surveying the role of the media in defining twentieth-century contexts of lay science, the paper illustrates the appropriation and recuperation of scientific authority being played out in two contemporary models of active public engagement: so-called “citizen science” and varieties of “crowd-sourced science”. Both participatory models are increasingly reliant on information exchange via social media, but may be implemented to support distinctly different societal goals and beneficiaries. (shrink)

Fission of cellular membranes is ubiquitous and essential for life. Complex protein machineries, such as the dynamin and ESCRT spirals, have evolved to mediate membrane fission during diverse cellular processes, for example, vesicle budding. A new study suggests that non-specialized membrane-bound proteins can induce membrane fission through mass action due to protein crowding. Because up to 2/3 of the mass of cellular membranes is contributed by proteins, membrane protein crowding is an important physiological parameter. Considering the complexity of membrane shape (...) transitions during a fission reaction, spatial and temporal variability in protein distribution, and the abundance of intrinsically disordered regions in proteins on an invaginating membrane, protein crowding can have diverse consequences for fission in the cell. The question is, how and to what extent this mechanism combines with the action of dedicated fission machineries. Membrane fission, which is required for formation of vesicles or cytokinesis, can be carried out by specialized proteins like dynamin and the ESCRT complex. Recent work suggests that fission of cellular membranes, which are densely packed with proteins, can also be induced by protein crowding due to high entropic tension. (shrink)

In the spirit of the pragmatic account of quotation and reporting offered by Macagno and Walton (2017), we outline a systematic pragmatic account of rephrasing. For this purpose, we combine two interrelated methods of inquiry into the variety of uses of rephrase as a persuasive device: (i) the annotation of rephrase types to identify locutionary and illocutionary aspects of rephrase, (ii) the crowd–sourced examination of rephrase types to investigate their perlocutionary effects. As it draws on Waltonian insights and on empirical (...) and experimental research on the (mis)use of rephrase, our approach allows us to ground a novel theoretically–informed and data–driven pragmatic account of rephrase. (shrink)

In the spirit of the pragmatic account of quotation and reporting offered by Macagno and Walton (2017), we outline a systematic pragmatic account of rephrasing. For this purpose, we combine two interrelated methods of inquiry into the variety of uses of rephrase as a persuasive device: (i) the annotation of rephrase types to identify locutionary and illocutionary aspects of rephrase, (ii) the crowd–sourced examination of rephrase types to investigate their perlocutionary effects. As it draws on Waltonian insights and on empirical (...) and experimental research on the (mis)use of rephrase, our approach allows us to ground a novel theoretically–informed and data–driven pragmatic account of rephrase. (shrink)

In the spirit of the pragmatic account of quotation and reporting offered by Macagno and Walton (2017), we outline a systematic pragmatic account of rephrasing. For this purpose, we combine two interrelated methods of inquiry into the variety of uses of rephrase as a persuasive device: (i) the annotation of rephrase types to identify locutionary and illocutionary aspects of rephrase, (ii) the crowd–sourced examination of rephrase types to investigate their perlocutionary effects. As it draws on Waltonian insights and on empirical (...) and experimental research on the (mis)use of rephrase, our approach allows us to ground a novel theoretically–informed and data–driven pragmatic account of rephrase. (shrink)

WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science, and provides a vocabulary for talking about the problems of doing so. It can be used to demonstrate that a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology for effectively doing science. WikiSilo is simultaneously similar to and distinct, as well as integrated and separated (...) from Wikipedia™. This paper will introduce the advantages of WikiSilo for use in the Cognitive Sciences. (shrink)

In this article, we tried to reveal the relationship between personality traits and escape behavior in traffic accidents. Different from common computer simulations, this study, for the first time, established a real database recording the escape behavior and personality traits of subjects when watching a first-person-view driving video with explosion. Then, we used a modeling method of general linear to establish a quantitative model of the influence of personality traits, explosion, and their interaction on escape behavior. In the model, we (...) introduced escape response time, escape time, escape direction, escape speed, escape trajectory, and other motion characteristics to study individual escape behavior in accidents. Through the analysis, we concluded several conclusions, including that high neurotic individuals tend to escape with shorter response time and slower speed by choosing doors far from the explosion source. These conclusions may provide some references for the effective escape of the crowd and the successful escape of the individual under traffic accidents. (shrink)

In the era of the global village, crowd sourcing as a new model of service outsourcing is increasingly being valued by all walks of life. This study uses the data envelopment analysis method to explain the crowd sourcing competitiveness of service outsourcing base cities by using input-output efficiency. The crowd sourcing competitiveness among crowd sourcing base cities is organized and analyzed by collating and analyzing the data of 21 service outsourcing base cities in China from 2016 to 2019. The results (...) show that there is no significant difference in the competitiveness of 21 service outsourcing, the overall trend is that the competitiveness of crowd sourcing is not strong, the match between input and output is not high. Comparatively speaking, Beijing, Shanghai, Nanjing, Hangzhou, Suzhou and Wuxi are more competitive in crowd sourcing. Combining with the reality of China's economic development, taking the road of crowd sourcing with Chinese characteristics is a good choice for the development of China's crowd sourcing industry. (shrink)

The question of whether grammaticality is a binary categorical or a gradient property has been the subject of ongoing debate in linguistics and psychology for many years. Linguists have tended to use constructed examples to test speakers’ judgements on specific sorts of constraint violation. We applied machine translation to randomly selected subsets of the British National Corpus (BNC) to generate a large test set which contains well-formed English source sentences, and sentences that exhibit a wide variety of grammatical infelicities. We (...) tested a large number of speakers through (filtered) crowd sourcing, with three distinct modes of classification, one binary and two ordered scales. We found a high degree of correlation in mean judgements for sentences across the three classification tasks. We also did two visual image classification tasks to obtain benchmarks for binary and gradient judgement patterns, respectively. Finally, we did a second crowd source experiment on 100 randomly selected linguistic textbook example sentences. The sentence judgement distributions for individual speakers strongly resemble the gradience benchmark pattern. This evidence suggests that speakers represent grammatical well-formedness as a gradient property. (shrink)

ArgumentThe deficit model of science communication assumes that the creation and dissemination of knowledge is limited to researchers with formal credentials. Recent challenges to this model have emerged among “e-patients” who develop extensive online activist communities, demand access to their own health data, conduct crowd-sourced experiments, and “hack” health problems that traditional medical experts have failed to solve. This article explores the aesthetics of medical media that enact the transition from a deficit model to a patient-driven model of visual (...) representation and health communication. I present a framework for understanding the role of film and video in patient movements by analyzing the historical transition from researchers filming patients as nameless, voiceless human research subjects to patients recording their own health narratives through activist cinematography. By comparing several approaches to patient-centered video, I argue that imperfect production aesthetics play a critically important role in establishing the credibility of health communications. (shrink)

Exploring the relationship between characteristics of the source of knowledge and knowledge transfer performance seems to be crucial in order to make up for the lack of research on the political skills of knowledge sources in the process of knowledge transfer. For this reason, this study conducts a paired-sample questionnaire survey to achieve the research purpose. One direct supervisor was paired with 1∼4 subordinates; 274 other-reported questionnaires were sent out to supervisors and 1,096 self-reported questionnaires to subordinates. A total of (...) 214 valid supervisor questionnaires and 630 valid subordinate questionnaires were collected. The finding demonstrates that knowledge sources with political skills can reduce knowledge barriers to knowledge transfer as well as affect knowledge transfer performance. This research presents a valid model that comprises the antecedents (characteristics of the knowledge source), mediators (knowledge barriers), moderators (political skill), and consequences of knowledge transfer performance of firms. Moreover, this study provides several meaningful directions for future research. (shrink)

Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time‐consuming for experts to provide and thus, prohibitively costly. We address this by demonstrating an automated feedback mechanism that allows amateur decision‐makers to learn what information to attend to from one another, rather than from an expert. (...) In the first experiment, eye movements of N = 100 subjects were recorded while they repeatedly performed a standard behavioral finance investment task. Consistent with previous studies, we found that a significant proportion of subjects were affected by decision bias. In the second experiment, a different group of N = 100 subjects faced the same task but, after each choice, they received individual, machine learning‐generated feedback on whether their pre‐decision eye movements resembled those made by Experiment 1 subjects prior to good decisions. As a result, Experiment 2 subjects learned to analyze information similarly to their successful peers, which in turn reduced their decision bias. Furthermore, subjects with low Cognitive Reflection Test scores gained more from the proposed form of process feedback than from standard behavioral feedback based on decision outcomes. (shrink)

The question of whether humans represent grammatical knowledge as a binary condition on membership in a set of well-formed sentences, or as a probabilistic property has been the subject of debate among linguists, psychologists, and cognitive scientists for many decades. Acceptability judgments present a serious problem for both classical binary and probabilistic theories of grammaticality. These judgements are gradient in nature, and so cannot be directly accommodated in a binary formal grammar. However, it is also not possible to simply reduce (...) acceptability to probability. The acceptability of a sentence is not the same as the likelihood of its occurrence, which is, in part, determined by factors like sentence length and lexical frequency. In this paper, we present the results of a set of large-scale experiments using crowd-sourced acceptability judgments that demonstrate gradience to be a pervasive feature in acceptability judgments. We then show how one can predict acceptability judgments on the basis of probability by augmenting probabilistic language models with an acceptability measure. This is a function that normalizes probability values to eliminate the confounding factors of length and lexical frequency. We describe a sequence of modeling experiments with unsupervised language models drawn from state-of-the-art machine learning methods in natural language processing. Several of these models achieve very encouraging levels of accuracy in the acceptability prediction task, as measured by the correlation between the acceptability measure scores and mean human acceptability values. We consider the relevance of these results to the debate on the nature of grammatical competence, and we argue that they support the view that linguistic knowledge can be intrinsically probabilistic. (shrink)

Fact-finding is at the heart of human rights advocacy, and is often at the center of international controversies about alleged government abuses. In recent years, human rights fact-finding has greatly proliferated and become more sophisticated and complex, while also being subjected to stronger scrutiny from governments. Nevertheless, despite the prominence of fact-finding, it remains strikingly under-studied and under-theorized. Too little has been done to bring forth the assumptions, methodologies, and techniques of this rapidly developing field, or to open human rights (...) fact-finding to critical and constructive scrutiny. The Transformation of Human Rights Fact-Finding offers a multidisciplinary approach to the study of fact-finding with rigorous and critical analysis of the field of practice, while providing a range of accounts of what actually happens. It deepens the study and practice of human rights investigations, and fosters fact-finding as a discretely studied topic, while mapping crucial transformations in the field. The contributions to this book are the result of a major international conference organized by New York University Law School's Center for Human Rights and Global Justice. Engaging the expertise and experience of the editors and contributing authors, it offers a broad approach encompassing contemporary issues and analysis across the human rights spectrum in law, international relations, and critical theory. This book addresses the major areas of human rights fact-finding such as victim and witness issues; fact-finding for advocacy, enforcement, and litigation; the role of interdisciplinary expertise and methodologies; crowd sourcing, social media, and big data; and international guidelines for fact-finding. (shrink)

An individual's health, genetic, or environmental-exposure data, placed in an online repository, creates a valuable shared resource that can accelerate biomedical research and even open opportunities for crowd-sourcing discoveries by members of the public. But these data become “immortalized” in ways that may create lasting risk as well as benefit. Once shared on the Internet, the data are difficult or impossible to redact, and identities may be revealed by a process called data linkage, in which online data sets are matched (...) to each other. Reidentification, the process of associating an individual's name with data that were considered deidentified, poses risks such as insurance or employment discrimination, social stigma, and breach of the promises often made in informed-consent documents. At the same time, re-ID poses risks to researchers and indeed to the future of science, should re-ID end up undermining the trust and participation of potential research participants. The ethical challenges of online data sharing are heightened as so-called big data becomes an increasingly important research tool and driver of new research structures. Big data is shifting research to include large numbers of researchers and institutions as well as large numbers of participants providing diverse types of data, so the participants’ consent relationship is no longer with a person or even a research institution. In addition, consent is further transformed because big data analysis often begins with descriptive inquiry and generation of a hypothesis, and the research questions cannot be clearly defined at the outset and may be unforeseeable over the long term. In this article, we consider how expanded data sharing poses new challenges, illustrated by genomics and the transition to new models of consent. We draw on the experiences of participants in an open data platform—the Personal Genome Project—to allow study participants to contribute their voices to inform ethical consent practices and protocol reviews for big-data research. (shrink)

This paper reports on a study of crowd-sourcing ‘study aid’ web platforms. Students are sharing completed academic coursework through a growing network of ‘study aid’ web platforms like CourseHero.com. These websites facilitate the crowd-sourced exchange of coursework, and effectively support plagiarism. However, virtually no data exists concerning the scope or extent of coursework being shared through these platforms. This paper reports on two experiments to monitor the frequency of coursework from a sample university uploaded onto CourseHero.com. Ultimately, both (...) class='Hi'>experiments failed to produce a clear or meaningful measurement of coursework upload frequency. The apparently widespread use of these crowd-sourcing ‘study aid’ websites and the failure of these experiments demonstrates the need for further investigation into how much coursework is being shared through such platforms, how frequently it is shared, and what kind of coursework is being shared. Addressing these issues is an important step into measuring the impact of these wellsprings of academically dishonest behavior. (shrink)

Although content related to parenting Autistic children is common in online media, little attention is paid to the experiences of Autistic parents. There is a growing trend of parents receiving autism diagnoses after their children are diagnosed, yet a basic Google search on “parents” and “autism” reveals myriad data on the experiences of parents of Autistic children and little on experiences of Autistic parents. A systematic online search, augmented with a “crowd-sourcing” request to online parent support groups, identified only 15 (...) articles and blogs that discuss Autistic parenting in advocacy, lifestyle, and parenting websites. This article explores the scope and content of Autistic parenting discourse in these online media to consider how the experiences of Autistic parents are conceptualized and situated within broader narratives of neurodiversity, autism and parenting. Media discourse focused on women who had received their autism diagnosis in adulthood, their experiences navigating their diagnoses, minimizing parenting challenges, and pushing back against autism stereotypes, with the majority of content intended for Allistic audiences. Recent increased recognition of autism in women has coincided with a new interest in Autistic parenthood, raising questions about gendered assumptions and disabled mothering. The media narrative includes “defying stereotypes” and “proving” autism is compatible with parenthood, echoing mainstream beliefs. Social justice issues reinscribed in the narrative illustrate how centring the voices of Autistic parents can reconceptualize public perception of autism and bridge the disconnect between parenting Autistic children, and Autistic parenting of children. (shrink)

In some musical genres, professional performers play live shows many times a week. Arduous touring schedules bring encounters with wildly diverse audiences across many different performance ecologies. We investigate the kinds of creativity involved in such repeated live performance, kinds of creativity that are quite unlike songwriting and recording, and examine the central factors that influence musicians’ wellbeing over the course of a tour. The perspective of the professional musician has been underrepresented in research on relations between music and wellbeing, (...) with little attention given to the experience of touring. In this case study, we investigate influences on positive and negative performance experiences for the four professional musicians of Australian pop/rock band Cloud Control. Geeves conducted intensive cognitive ethnographic fieldwork with Cloud Control members over a two-week national Australian tour for their second album, Dream Cave (2013). Adapting a Grounded Theory approach to data analysis, we found the level of wellbeing musicians reported and displayed on tour to be intimately linked to their creative performance experiences through the two emergent, overarching and interdependent themes of Performance Headspace (PH) and Connection with Audience (CA). We explore these themes in detail and provide examples to demonstrate how PH and CA can feed off each other in virtuous ways that positively shape musicians’ wellbeing, or loop in vicious ways that negatively shape musicians’ wellbeing. We argue that their creative practice, in thus re-enacting musical performance afresh in each venue’s distinctive setting, emerges within unique constraints each night, and is in a sense a co-creation of the crowd and the band. (shrink)

Increasing numbers of marketers are turning to the crowd—members of the public engaged with brands via the Internet—to develop marketing and advertising campaigns. Some marketers use social media to connect directly with customers, while others use crowdsourcing agencies to harness the power of crowd labor. As more members of the public become aware of creative crowdsourcing, they look to the media to understand more about it. As a result, it is important to examine how the media currently frame creative crowdsourcing (...) to the public, particularly when numerous ethical issues about crowdsourcing have been identified. This study examines media coverage of creative crowdsourcing to examine how benefits and challenges are presented. Informed by a framework developed by Swain, results indicate that most media coverage focuses solely on benefits to the industry: benefits to the ‘crowd’ are rarely discussed, yet drawbacks to the crowd are mentioned more frequently than drawbacks for the industry. This provides a skewed vision of what creative crowdsourcing is and may affect participation in the practice. (shrink)

Debates about expanding newborn screening with whole genome sequencing are fueled by data about public perception, public opinion, and the positions taken by public advocates and advocacy groups. One form of evidence that merits attention as we consider possible uses of whole‐genome sequencing during the newborn period is parents’ (and children's) diverse experiences with existing expanded screening protocols. What do we know about this experience base? And what implications might these data have for decisions about how we use whole genome (...) sequencing and how we assess its impact in the future? Although the broader literature on genetic susceptibility testing suggests that testing usually does not have adverse effects on children's psychosocial well‐being, certain newborn screening results have been demonstrated to cause distress, alter behavior, and even to influence the formation of new parental and family identities. (shrink)

This paper looks first at the scope of religious experience, offering some representative examples of phenomena that typically give rise to spiritual experiences. This leads on a consideration of the phenomenology of such experiences – the particular way in which they present themselves to the conscious subject. Lastly, the paper tackles the vexed question of the source of such experiences, and suggests that this is best understood in terms of a (certain kind of) theistic framework.

Conscious will is an experience like the sensation of the color red, the percepfion of a friend's voice, or the enjoyment of a fine spring day. David Hume (1739/1888) appreciated the will in just this way, defining it as "nothing but the internal..

This paper analyses selected recent African theological works on the conceptual relationships between church and society. The author highlights what can be universally learned from the African writings with reference to debates about faith and its relationship to ideals of social and political justice. Some recent books by African theologians have taken up the challenge of directly confronting questions that arise from the relationships between Africa's religions and their wider social and political environment. The paper shows how according to these (...) theologians the church in Africa must be judged by what it does and by what it does not do vis-à-vis the larger societies of which it is a part. (shrink)

Contrary to Block's assertion, “identity-crowding” does not provide an interesting instance of object-seeing without object-attention. The successful judgments and unusual phenomenology of identity-crowding are better explained by unconscious perception and non-perceptual phenomenology associated with cognitive states. In identity-crowding, as in other cases of crowding, subjects see jumbled textures and cannot individuate the items contributing to those textures in the absence of attention. Block presents an attenuated sense in which identity-crowded items are seen, but this is irrelevant to the debate about (...) phenomenal experience of an object in the absence of object-attention. Finally, even unconscious object perception in identity-crowding likely involves an attention-like selective process. (shrink)

Heidegger develops his reading of a-lētheia as privative un-concealment (Unverborgenheit) in tandem with his early phenomenological theory of truth. He is not simply reinterpreting a word, but rather reading Greek philosophy as having a primordial understanding of truth which has itself been concealed in interpretation. After shedding medieval and modern presuppositions of truth as correspondence, the existential truth-experience shows itself, no longer left puzzlingly implicit in unsatisfactory conventional readings of Greek philosophy. In Sein und Zeit §44, Heidegger resolves interpretive difficulties (...) in Parmenides through his interpretation of alētheia and philologically grounds this reading in Heraclitus’s description of the unconcealing logos. Although this primordial sense of the word has already been obscured in Plato and Aristotle, the structural gradation of their theories of truth conserves the primordial pre-Socratic sense of truth as the experience of unconcealment. (shrink)

The objective of this article is to study a deeply pre- reflective dimension of our subjective experience. This dimension is gestural and rhythmic, has precise transmodal sensorial submodalities, and seems to play an essential role in the process of emergence of all thought and understanding. In the first part of the article, using examples, we try to draw the attention of the reader to this dimension in his subjective experience. In the second part, we attempt to explain the difficulties and (...) describe the interior process of becoming aware of it. Then we describe the structural characteristics of this dimension, and the different types of 'interior gestures' which enable us to connect ourselves with it. Finally, we formulate a genetic hypothesis about the role of this dimension in cognition, on the basis of which we suggest some research paths in the neuroscientific, educational and existential domains. (shrink)

Abstract:In this article, we present a pragmatic approach to neuroethics, referring back to John Dewey and his articulation of the “common good” and its discovery through systematic methods. Pragmatic neuroethics bridges philosophy and social sciences and, at a very basic level, considers that ethics is not dissociable from lived experiences and everyday moral choices. We reflect on the integration between empirical methods and normative questions, using as our platform recent bioethical and neuropsychological research into moral cognition, action, and experience. Finally, (...) we present the protocol of a study concerning teenagers’ morality in everyday life, discussing our epistemological choices as an example of a pragmatic approach in empirical ethics. We hope that this article conveys that even though the scope of neuroethics is broad, it is important not to move too far from the real life encounters that give rise to moral questions in the first place. (shrink)

Between 1918 and 1933, the masses became a decisive preoccupation of European culture, fueling modernist movements in art, literature, architecture, theater, and cinema, as well as the rise of communism and fascism and experiments in radical democracy. Spanning aesthetics, cultural studies, intellectual history, and political theory, this volume unpacks the significance of the shadow agent known as "the mass" during a critical period in European history. It follows its evolution into the preferred conceptual tool for social scientists, the ideal (...) slogan for politicians, and the chosen image for artists and writers trying to capture a society in flux and a people in upheaval. This volume is the second installment in Stefan Jonsson's epic study of the crowd and the mass in modern Europe, building on his work in _A Brief History of the Masses_, which focused on monumental artworks produced in 1789, 1889, and 1989. (shrink)

How does reflective thinking impact decisions about ethics, mind, politics, or other philosophical domains? Reflective reasoning often correlates with better decision-making performance and certain philosophical preferences (e.g., utilitarian moral decisions). However, experiments suggest that reflection is not always the cause of these outcomes. Further, some evidence casts doubt on the trustworthiness of data from certain online crowd work platforms such as Amazon Mechanical Turk (mTurk). This paper reports results of a pre-registered experiment on participants from multiple sources (mTurk, CloudResearch, (...) Prolific, and a university). The experiment investigated how reflective thinking relates to judgments about philosophical thought experiments (concerning knowledge, morality, personal identity, and more). First- and third-party data quality measures found up to 18 times as much low-quality data from mTurk as other sources. Analyzing across participant sources, some prior correlations between reflection and certain philosophical tendencies replicated (e.g., denying that accidentally true beliefs count as knowledge). However, a common reflection test prime failed to find evidence that reflection caused the corresponding philosophical preferences. Rather, a philosophical priming effect emerged: thinking through philosophical vignettes before taking a reflection test improved test performance—but only among those that passed the data quality checks. Together, these data suggest that the direction of causation between reflective and philosophical thinking may be the opposite of what dual process theories have suggested, and that researchers’ ability to detect such relationships can depend on participant source and data quality. (shrink)

The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene. Current methods solve these issues by compounding multi-scale Convolutional Neural Network with different receptive fields. In this paper, a novel end-to-end architecture based on Multi-Scale Adversarial Convolutional Neural Network (MSA-CNN) is proposed to generate crowd density and estimate the amount of crowd. Firstly, a multi-scale (...) network is used to extract the globally relevant features in the crowd image, and then fractionally-strided convolutional layers are designed for up-sampling the output to recover the loss of crucial details caused by the earlier max pooling layers. An adversarial loss is directly employed to shrink the estimated value into the realistic subspace to reduce the blurring effect of density estimation. Joint training is performed in an end-to-end fashion using a combination of Adversarial loss and Euclidean loss. The two losses are integrated via a joint training scheme to improve density estimation performance.We conduct some extensive experiments on available datasets to show the significant improvements and supremacy of the proposed approach over the available state-of-the-art approaches. (shrink)