The initial successes in recent years in harnessing machine learning technologies to improve medical practice and benefit patients have attracted attention in a wide range of healthcare fields. Particularly, it should be achieved by providing automated decision recommendations to the treating clinician. Some hopes placed in such ML-based systems for healthcare, however, seem to be unwarranted, at least partially because of their inherent lack of transparency, although their results seem convincing in accuracy and reliability. Skepticism arises when the physician (...) as the agent responsible for the implementation of diagnosis, therapy, and care is unable to access the generation of findings and recommendations. There is widespread agreement that, generally, a complete traceability is preferable to opaque recommendations; however, there are differences about addressing ML-based systems whose functioning seems to remain opaque to some degree—even if so-called explicable or interpretable systems gain increasing amounts of interest. This essay approaches the epistemic foundations of ML-generated information specifically and medical knowledge generally to advocate differentiations of decision-making situations in clinical contexts regarding their necessary depth of insight into the process of information generation. Empirically accurate or reliable outcomes are sufficient for some decision situations in healthcare, whereas other clinical decisions require extensive insight into ML-generated outcomes because of their inherently normative implications. (shrink)

Under review at Social Epistemology. The normative status of partisan of epistemology has been the subject of much recent philosophical attention. It is often assumed that partisan epistemology is evidence of directionally motivated reasoning in which concerns about group membership override concerns about accuracy. I outline an alternative account which seeks to explain the data assuming people are motivated by accuracy. I argue that this theory offers a superior explanation of partisan epistemology than alternative social-benefits theories of the (...) phenomenon. Since one important benefit of these theories has been taken to be that they’re at a special advantage in accounting for (the patterns of) belief in misinformation, I also argue that this advantage is smaller than it seems. (shrink)

How can one verify the accuracy of recorded information (e.g., information found in books, newspapers, and on Web sites)? In this paper, I argue that work in the epistemology of testimony (especially that of philosophers David Hume and Alvin Goldman) can help with this important practical problem in library and information science. This work suggests that there are four important areas to consider when verifying the accuracy of information: (i) authority, (ii) independent corroboration, (iii) (...) plausibility and support, and (iv) presentation. I show how philosophical research in these areas can improve how information professionals go about teaching people how to evaluate information. Finally, I discuss several further techniques that information professionals can and should use to make it easier for people to verify the accuracy of information. (shrink)

Discovering the meaning of novel communicative cues is challenging and amounts to navigating an unbounded hypothesis space. Several theories posit that this problem can be simplified by relying on positive expectations about the cognitive utility of communicated information. These theories imply that learners should assume that novel communicative cues tend to have low processing costs and high cognitive benefits. We tested this hypothesis in three studies in which toddlers (N = 90) searched for a reward hidden in one of (...) several containers. In all studies, an adult communicated the reward's location with an unfamiliar and ambiguous cue. We manipulated the processing costs (operationalized as inferential chain length) and cognitive benefits (operationalized as informativeness) of the possible interpretations of the cues. Toddlers processing of novel communicative cues were guided by expectations of low processing costs (Study 1) and high cognitive benefits (Studies 2 and 3). More specifically, toddlers treated novel cues as if they were easy to process, informative, and accurate, even when provided with repeated evidence to the contrary. These results indicate that, from toddlerhood onward, expectations of cognitive utility shape the processing of novel communicative cues. These data also reveal that toddlers, who are in the process of learning the language and communicative conventions of people around them, exert a pressure favoring cognitive efficiency in communicative systems. (shrink)

In recent years, misinformation sharing has become the focus of public debate and academic research. We aim to explore whether individuals prefer to share accurate information or not, and discover what factors increase people’s preferences for sharing accurate information. Combining behavioral economics experiments and psychology experiments, we construct “an information search—information sharing—information feedback experiment” to examine individuals’ behavior of sharing accurate information and its influencing factors. A total of 210 students are recruited for the (...) laboratory experiment. Our results show that when individuals can control the accuracy of the information they obtain through their efforts, they are more willing to share accurate information with others. We also find that positive feedback from information receivers can promote the accuracy of information shared by individuals, and this effect works through reciprocity norms. Individuals with higher reciprocity are more willing to share accurate information, especially in the treatment with the role of reciprocity norms enhanced by feedback. These findings indicate that individuals who are willing to obtain accurate information prefer to share information, and information feedback can enhance this preference through reciprocity norms. This study captures individuals’ behavior and preference characteristics with regard to the accuracy of the information they share in the era of highly developed network interaction. (shrink)

Tyler Burge (2010) provided a scathing critique of all programs for naturalizing concepts of representation, especially teleological naturalizing programs. He tended to demonstrate that “representational content” is a concept that cannot be reduced to more fundamental biological or physical ideas. According to him, since the 1970s, the concept of representational content has been firmly established in cognitive psychology as a mature science and utilized inadequate explanations. Since Dretske’s program is Burge’s primary objective, this paper concentrates on Dretske’s perspective. Following Burge’s (...) criticisms, I concur that Dretske’s naturalizing program trivializes the complex concept of representational content in cognitive science by applying it to bacteria, protozoa, etc. There is a superior explanation, namely Burge’s alternative idea of “registering information.” I do not believe, however, that this spells the end of naturalization programs. There is no reason to deny that at least some biological functions entail representational capacities with perceptual constancy, if not all. Cases of genuine perception, representing the accurate distal causes of proximal stimuli under various conditions, contribute to fitness. It is not by accident that representational content plays a role in cases of genuine perception. Consequently, I will argue that accuracy and biological fitness cannot be separated. (shrink)

When people retell stories, what guides their retelling? Most previous research on story retelling and story comprehension has focused on information accuracy as the key measure of stability in transmission. This paper suggests that there is a second, affective, dimension that provides stability for retellings, namely the audience affect of surprise. In a large-sample study with multiple iterations of retellings, we found evidence that people are quite accurate in preserving all degrees of surprisingness in serial reproduction – even (...) when the event that produced the surprisingness in the original story is dropped or changed. Thus, we propose that the preservation of affect is an implicit goal of retelling: not merely do retellers recall highly surprising events better, but rather they register all levels of surprisingness precisely and aim to surprise their implied audience to same degree. This study used 2,389 participants. (shrink)

Are people are product literate enough to make informed decisions about plant-based and animal-based milk products? In 8 studies, we provide evidence that consumers do not make mistakes indicative of pervasive lack of milk product literacy. People were accurate at identifying plant-based and animal-based milk and cheese products as being plant or animal-based (74% - 84% of the time). In a more difficult task, participants were generally accurate at identifying nutritional differences between plant-based and animal-based milk and cheese products (50%–62% (...) accuracy). We also developed the Milk Literacy Scale, which is a 12-item, validated, knowledge-based instrument that measures knowledge of differences among plant-based and animal-based milk products. The Milk Literacy Scale predicted accuracy in both identification tasks. All results were replicated in a large sample (N = 1054). These results suggest that people are generally product literate about milk products to make informed choices. The studies offer some insights into what kinds of interventions would help make people even more product literate. (shrink)

Summary The purpose of this paper is to draw attention to the sextants and watches employed at the end of the eighteenth century in surveying Rupert's Land, the vast territory of the Hudson's Bay Company (HBC), and to discuss their usage and accuracy. The results provide information on the standards of manufacture at the time, on the reliability of the contemporary latitude and longitude of various fur-trading posts, and on the careers of the surveyors themselves. The sextant readings (...) are shown to have a standard deviation of about 20 arcseconds when used in a vertical position to find altitudes of the Sun and stars, and about 40 arcseconds otherwise, for finding lunar distances. Because of the use of artificial horizons, these conclusions imply that, at a 95% (2σ) confidence level, a single determination of latitude is reliable to ±20 arcseconds (600 m on the Earth's surface), of longitude ±20 arcminutes (approximately 60 km in Rupert's Land), and a single determination of local apparent time is reliable to ±3 s. The watches, it appears, could run at a steady rate with errors of less than a minute for a period of a week or two. (shrink)

Cesario claims that all bias research tells us is that people “end up using the information they have come to learn as being probabilistically accurate in their daily lives”. We expose Cesario's flawed assumptions about the relationship between accuracy and bias. Through statistical simulations and empirical work, we show that even probabilistically accurate responses are regularly accompanied by bias.

This article reports four subliminal perception experiments using the relationship between confidence and accuracy to assess awareness. Subjects discriminated among stimuli and indicated their confidence in each discrimination response. Subjects were classified as being aware of the stimuli if their confidence judgments predicted accuracy and as being unaware if they did not. In the first experiment, confidence predicted accuracy even at stimulus durations so brief that subjects claimed to be performing at chance. This finding indicates that subjects's (...) claims that they are ''just guessing'' should not be accepted as sufficient evidence that they are completely unaware of the stimuli. Experiments 2-4 tested directly for subliminal perception by comparing the minimum exposure duration needed for better than chance discrimination performance against the minimum needed for confidence to predict accuracy. The latter durations were slightly but significantly longer, suggesting that under certain circumstances people can make perceptual discriminations even though the information that was used to make those discriminations is not consciously available. (shrink)

Our goal was to test the efficiency and accuracy of a complementary morning report, after recall cue, of an experience made and first described during the night. Twenty participants were awakened 10 min after the onset of the second REM sleep. Upon awakening, on one night they described the dream they just had and on the other night they were presented a 4-min video, then had to describe it. A new description requested in the morning after a recall cue (...) yielded an important amount of new information both for the film and the dreams, and for the film, where the accuracy could be checked, 86% of this new information was accurate. Some aspects of the results pointed to an effect of hypermnesia. In conclusion, the morning additional information after recall cue stems from a good access to the memory of the night experience. (shrink)

Explicitly fictional armchair reconstructions of the past are sometimes taken to be informative about philosophical issues. What appeal a counterfactual genealogy has depends on its speculative accuracy, that is, its accuracy in identifying relevant causal, functional, or explanatory particulars. However, even when speculatively accurate, counterfactual genealogies rarely secure more than proofs of possibility. For more ambitious deployments of genealogy – for example, efforts to show what properties the target concept in fact predicates – genealogies are hamstrung by the (...) possibility of predicative drift, or changes over time in what the concept predicates. Still, even when counterfactual genealogies fail to tell us about our current practices or concepts, they may identify appealing successors. Pettit's (2018 Pettit, Philip. 2018. The Birth of Ethics: Reconstructing the Role and Nature of Morality. New York, NY: Oxford University Press.[Crossref], [Google Scholar]) innovative defense of moral realism and his employment of a counterfactual genealogy provides an illuminating instance of the promise and challenges facing accounts employing counterfactual genealogies. (shrink)

This paper concerns an information extraction process for building a dynamic legislation network from legal documents. Unlike supervised learning approaches which require additional calculations, the idea here is to apply information extraction methodologies by identifying distinct expressions in legal text in order to extract network information. The study highlights the importance of data accuracy in network analysis and improves approximate string matching techniques to produce reliable network data-sets with more than 98% precision and recall. The applications (...) and the complexity of the created dynamic legislation network are also discussed and challenged. (shrink)

It is truism that accuracy is valued. Some deem accuracy to be among the most fundamental values, perhaps the preeminent value, of inquiry. Because of this, accuracy has been the focus of two different, important programs in epistemology. The truthlikeness program pursued the notion of propositional accuracy—an ordering of propositions by closeness to the objective truth of some matter. The epistemic utility program pursued the notion of credal state accuracy—an ordering of credal states by closeness (...) to the ideal credal state. It may be tempting to think that each question that informs an inquiry must be  determinate of necessity. That is to say, there must be one correct, precise answer to it. That precise, correct answer is not only the maximally accurate answer to the question, but it also singles out the ideal credal state that is the epistemic target of the inquiry. An enormous amount of the effort has been focused on accuracy with respect to necessarily determinate questions. But often the focus of an inquiry is a question that is not necessarily determinate. Those who deem accuracy to be cognitively valuable, and fundamentally so, need an account of accuracy for indeterminate questions. Ideally such an account would cover both propositional accuracy and credal state accuracy. This is a tall order, and it is not clear that the order can be filled. (shrink)

I present a computational-level model of semantic interference effects in online word production within a rate–distortion framework. I consider a bounded-rational agent trying to produce words. The agent's action policy is determined by maximizing accuracy in production subject to computational constraints. These computational constraints are formalized using mutual information. I show that semantic similarity-based interference among words falls out naturally from this setup, and I present a series of simulations showing that the model captures some of the key (...) empirical patterns observed in Stroop and Picture–Word Interference paradigms, including comparisons to human data from previous experiments. (shrink)

This work fulfills the need for a conceptual and technical framework to improve understanding of Information Quality (IQ) and Information Quality standards. The meaning and practical implementation of IQ are addressed, as it is relevant to any field where there is a need to handle data and issues such as accessibility, accuracy, completeness, currency, integrity, reliability, timeliness, usability, the role of metrics and so forth are all a part of Information Quality. -/- In order to support (...) the cross-fertilization of theory and practice, the latest research is presented in this book. The perspectives of experts from beyond the origins of IQ in computer science are included: library and information science practitioners and academics, philosophers of information, of engineering and technology, and of science are all contributors to this volume. -/- The chapters in this volume are based on the work of a collaborative research project involving the Arts and Humanities Research Council and Google and led by Professor Luciano Floridi, University of Oxford. -/- This work will be of interest to anyone handling data, including those from commercial, public, governmental and academic organizations. The expert editors’ contributions introduce issues of interest to scientists, database curators and philosophers, even though the issues may be disguised in the language and examples common to a different discipline. (shrink)

Being able to categorize objects as similar or different is an essential skill. An important aspect of learning to categorize is learning to attend to relevant features and ignore irrelevant features of the to-be-categorized objects. Feature variability across objects of different categories is informative, because it allows inferring the rules underlying category membership. In this study, participants learned to categorize fictitious creatures. We measured attention to the aliens during learning using eye-tracking and calculated the attentional focus as the ratio of (...) attention to relevant versus irrelevant features. As expected, participants’ categorization accuracy improved with practice; however, in contrast to our expectations, their attentional focus did not improve with practice. When computing the attentional focus, attention to the aliens’ eyes was disregarded, because while eyes attract a lot of attention, they did not vary across aliens. Yet, an explorative analysis of attention to eyes suggested that participants’ attentional focus did become somewhat more efficient in that over time they learned to ignore the eyes. Results are discussed in the context of the need for instructional methods to improve attentional focus in learning to categorize. (shrink)

Argument“Deficit model” designates an outlook on the public understanding and communication of science that emphasizes scientific illiteracy and the need to educate the public. Though criticized, it is still widespread, especially among scientists. Its persistence is due not only to factors ranging from scientists’ training to policy design, but also to the continuance of realism as an aesthetic criterion. This article examines the link between realism and the deficit model through discussions of neurology and psychiatry in fiction film, as well (...) as through debates about historical movies and the cinematic adaptation of literature. It shows that different values and criteria tend to dominate the realist stance in different domains:accuracyfor movies concerning neurology and psychiatry,authenticityfor the historical film, andfidelityfor adaptations of literature. Finally, contrary to the deficit model, it argues that the cinema is better characterized by a surplus of meaning than by informational shortcomings. (shrink)

With the popularity of computer-based testing, it is easier to collect item response times in psychological and educational assessments. RTs can provide an important source of information for respondents and tests. To make full use of RTs, the researchers have invested substantial effort in developing statistical models of RTs. Most of the proposed models posit a unidimensional latent speed to account for RTs in tests. In psychological and educational tests, many tests are multidimensional, either deliberately or inadvertently. There may (...) be general effects in between-item multidimensional tests. However, currently there exists no RT model that considers the general effects to analyze between-item multidimensional test RT data. Also, there is no joint hierarchical model that integrates RT and response accuracy for evaluating the general effects of between-item multidimensional tests. Therefore, a bi-factor joint hierarchical model using between-item multidimensional test is proposed in this study. The simulation indicated that the Hamiltonian Monte Carlo algorithm works well in parameter recovery. Meanwhile, the information criteria showed that the bi-factor hierarchical model is the best fit model. This means that it is necessary to take into consideration the general effects and the multidimensionality of the RT in between-item multidimensional tests. (shrink)

To formalize the human judgment of rhythm complexity, we used five measures from information theory and algorithmic complexity to measure the complexity of 48 artificially generated rhythmic sequences. We compared these measurements to human prediction accuracy and easiness judgments obtained from a listening experiment, in which 32 participants guessed the last beat of each sequence. We also investigated the modulating effects of musical expertise and general pattern identification ability. Entropy rate and Kolmogorov complexity were correlated with prediction (...) class='Hi'>accuracy, and highly correlated with easiness judgments. A logistic regression showed main effects of musical training, entropy rate, and Kolmogorov complexity, and an interaction between musical training and both entropy rate and Kolmogorov complexity. These results indicate that information-theoretic concepts capture some salient features of the human judgment of rhythm complexity, and they confirm the influence of musical expertise on complexity judgments. (shrink)

We often get evidence concerning the reliability of our own thinking about some particular matter. This “higher-order evidence” can come from the disagreement of others, or from information about our being subject to the effects of drugs, fatigue, emotional ties, implicit biases, etc. This paper examines some pros and cons of two fairly general models for accommodating higher-order evidence. The one that currently seems most promising also turns out to have the consequence that epistemic akrasia should occur more frequently (...) than is sometimes supposed. But it also helps us see why this might not be a bad thing. (shrink)

Every man, the journalist -- Balancing digital identities -- Evaluating websites for credibility -- Attribution and anonymous sources -- Credibility and personal bias -- Glossary -- For more information -- For further reading.

We explore the idea that eye-movement strategies in reading are precisely adapted to the joint constraints of task structure, task payoff, and processing architecture. We present a model of saccadic control that separates a parametric control policy space from a parametric machine architecture, the latter based on a small set of assumptions derived from research on eye movements in reading (Engbert, Nuthmann, Richter, & Kliegl, 2005; Reichle, Warren, & McConnell, 2009). The eye-control model is embedded in a decision architecture (a (...) machine and policy space) that is capable of performing a simple linguistic task integrating information across saccades. Model predictions are derived by jointly optimizing the control of eye movements and task decisions under payoffs that quantitatively express different desired speed-accuracy trade-offs. The model yields distinct eye-movement predictions for the same task under different payoffs, including single-fixation durations, frequency effects, accuracy effects, and list position effects, and their modulation by task payoff. The predictions are compared to—and found to accord with—eye-movement data obtained from human participants performing the same task under the same payoffs, but they are found not to accord as well when the assumptions concerning payoff optimization and processing architecture are varied. These results extend work on rational analysis of oculomotor control and adaptation of reading strategy (Bicknell & Levy, ; McConkie, Rayner, & Wilson, 1973; Norris, 2009; Wotschack, 2009) by providing evidence for adaptation at low levels of saccadic control that is shaped by quantitatively varying task demands and the dynamics of processing architecture. (shrink)

Word order alternation has been described as one of the most productive information structure markers and discourse organizers across languages. Psycholinguistic evidence has shown that word order is a crucial cue for argument interpretation. Previous studies about Spanish sentence comprehension have shown greater difficulty to parse sentences that present a word order that does not respect the order of participants of the verb's lexico-semantic structure, irrespective to whether the sentences follow the canonical word order of the language or not. (...) This difficulty has been accounted as the cognitive cost related to the miscomputation of prominence status of the argument that precedes the verb. Nonetheless, the authors only analyzed the use of alternative word orders in isolated sentences, leaving aside the pragmatic motivation of word order alternation. By means of an eye-tracking task, the current study provides further evidence about the role of information structure for the comprehension of sentences with alternative word order and verb type, and sheds light on the interaction between syntax, semantics and pragmatics. We analyzed both “early” and “late” eye-movement measures as well as accuracy and response times to comprehension questions. Results showed an overall influence of information structure reflected in a modulation of late eye-movement measures as well as offline measures like total reading time and questions response time. However, effects related to the miscomputation of prominence status did not fade away when sentences were preceded by a context that led to non-canonical word order of constituents, showing that prominence computation is a core mechanism for argument interpretation, even in sentences preceded by context. (shrink)

The literature on algorithmic fairness has examined exogenous sources of biases such as shortcomings in the data and structural injustices in society. It has also examined internal sources of bias as evidenced by a number of impossibility theorems showing that no algorithm can concurrently satisfy multiple criteria of fairness. This paper contributes to the literature stemming from the impossibility theorems by examining how informational richness affects the accuracy and fairness of predictive algorithms. With the aid of a computer simulation, (...) we show that informational richness is the engine that drives improvements in the performance of a predictive algorithm, in terms of both accuracy and fairness. The centrality of informational richness suggests that classification parity, a popular criterion of algorithmic fairness, should be given relatively little weight. But we caution that the centrality of informational richness should be taken with a grain of salt in light of practical limitations, in particular, the so-called bias-variance trade off. (shrink)

Under the background of the information age, scientific research and engineering practice have developed vigorously, resulting in many complex optimization problems that are difficult to solve. How to design more effective optimization methods has become the focus of urgent solutions in many academic fields. Under the guidance of such demand, intelligent optimization algorithms have emerged. This article analyzes and optimizes the modern artificial intelligence teaching information system in detail. On the basis of determining the network architecture, a detailed (...) demand analysis was carried out, and the overall structure optimization of the network was given; the business process and data flow of the main modules of the website were optimized. In order to further enhance the local search ability of the algorithm, a multiclass interactive optimization algorithm is proposed in combination with the Euclidean distance-based clustering method, which changes the teaching mode from “one-person teaching” to “multiperson teaching.” This clustering method has lower complexity and is beneficial to enhance the utilization of neighborhood information. At the same time, in order to enhance the diversity of the population and strengthen the connection between the subgroups, after the teaching phase, the worst students in each subgroup are allowed to learn from the best teachers of the population, and after the learning phase, individuals in a random subgroup are allowed to learn from other subgroups. The algorithm was tested in the experimental environment of unconstrained, constrained, and an engineering problem. From the test results, it can be seen that the algorithm is not easy to fall into the local optimum. Compared with other algorithms, the solution accuracy is higher and the stability is better. And it performed well in engineering optimization problems, thus verifying the effectiveness of the strategy. (shrink)

Character judgments play an important role in our everyday lives. However, decades of empirical research on trait attribution suggest that the cognitive processes that generate these judgments are prone to a number of biases and cognitive distortions. This gives rise to a skeptical worry about the epistemic foundations of everyday characterological beliefs that has deeply disturbing and alienating consequences. In this paper, I argue that this skeptical worry is misplaced: under the appropriate informational conditions, our everyday character-trait judgments are in (...) fact quite trustworthy. I then propose a mindreading-based model of the socio-cognitive processes underlying trait attribution that explains both why these judgments are initially unreliable, and how they eventually become more accurate. (shrink)

PurposeThe information technology related ethical issues will only increase in frequency and complexity with the increasing diffusion of IT in economies and societies. The purpose of this paper is to explore Egyptian students' attitudes towards the information ethics issues of privacy, access, property, and accuracy, and it evaluates the possible impact of a number of personal characteristics on such attitudes.Design/methodology/approachThis research utilized a cross‐sectional sample and data set to test five hypotheses. It adopted an instrument to collect (...) the respondents' background information and assess their attitudes towards the information ethics issues of privacy, property, accuracy, and access. Egyptian business students at Alexandria University were asked to participate in the survey. A total of 305 responses were collected and analyzed.FindingsThe analysis revealed that students are sensitive to the ethicality of information privacy, information accuracy, and information access. However, students are insensitive to the ethicality of property right. In addition, years of education have a main effect on students' attitudes towards property, and gender and age have an interaction effect on students' attitudes towards access.Research limitations/implicationsThe findings of this research are based on a cross‐sectional data set collected from a sample of business students at a public university. Students, however, may make poor surrogates for business or IT professionals. Future similar research designs that employ large samples from Egyptian working professionals and students in other private and public universities are needed to verify the findings of this research.Practical implicationsThe findings suggest that the investigated university as well as the other similar Egyptian universities should consider integrating ethics education into their curricula. Teaching information ethics, especially from an Islamic perspective, is expected to positively influence students' information ethical attitudes. The enforcement of the existing property right protection laws should also curb software piracy in the Egyptian market.Originality/valueIt is vital to expand the ethical research currently being performed in IT in order to help bridge the gap between behavior and IT. The findings of this research extend the understanding of students' attitudes towards the information ethics issues in Egyptian culture and contribute to the growing body of knowledge on global information ethics. (shrink)

Although informed consent for treatment has become a cornerstone principle of psychiatric care, the process of diagnosis has remained largely in the hands of the physician alone. While the conferring of a psychiatric diagnosis has historically not been considered a form of medical intervention, the potential impact of a diagnosis for any particular patient may be substantial. This article explores the challenges involved in balancing respect for patients with the physician’s duty of truth-telling and clinical accuracy.

The success of the health care system depends on the accuracy, correctness and trustworthiness of the information, and the privacy rights of individuals to control the disclosure of personal information. A national policy on health informational privacy should be guided by ethical principles that respect individual autonomy while recognizing the important collective interests in the use of health information. At present there are no adequate laws or constitutional principles to help guide a rational privacy policy. The (...) laws are scattered and fragmented across the states. Constitutional law is highly general, without important specific safeguards. Finally, a case study is provided showing the important trade-offs that exist between public health and privacy. For a model public health law, see www.critpath.org/msphpa/privacy. (shrink)

Standalone corporate social responsibility reports vary considerably in the content of information released due to their voluntary nature. In this study, we develop a disclosure score based on the tone, readability, length, and the numerical and horizon content of CSR report narratives, and examine the relationship between the CSR disclosure scores and analyst forecasts. We find that CSR reporters with high disclosure scores are associated with more accurate forecasts, whereas low score CSR reporters are not associated with more accurate (...) forecasts than firms who do not issue CSR reports. The findings are robust to controlling for firm characteristics including CSR activity ratings and financial narratives. The findings are driven by experienced CSR reporters rather than first-time CSR reporters. Together, our findings suggest that the content of CSR reports helps to improve analyst forecast accuracy, and this relationship is more pronounced for CSR reports with more substantial content. (shrink)

There has been much interest in group judgment and the so-called 'wisdom of crowds'. In many real world contexts, members of groups not only share a dependence on external sources of information, but they also communicate with one another, thus introducing correlations among their responses that can diminish collective accuracy. This has long been known, but it has-to date-not been examined to what extent different kinds of communication networks may give rise to systematically different effects on accuracy. (...) We argue that equations that relate group accuracy, individual accuracy, and group diversity are useful theoretical tools for understanding group performance in the context of research on group structure. In particular, these equations may serve to identify the kind of group structures that improve individual accuracy without thereby excessively diminishing diversity so that the net positive effect is an improvement even on the level of collective accuracy. Two experiments are reported where two structures are investigated from this perspective. It is demonstrated that the more constrained network outperforms the network with a free flow of information. (shrink)

Prediction markets are increasingly being considered as methods for gathering, summarizing and aggregating diffuse information by governments and businesses alike. Critics worry that these markets are susceptible to price manipulation by agents who wish to distort decision making. We study the effect of manipulators on an experimental market, and find that manipulators are unable to distort price accuracy. Subjects without manipulation incentives compensate for the bias in offers from manipulators by setting a different threshold at which they are (...) willing to accept trades. (shrink)

Status updates on social network sites (SNSs) as a new medium for people to express “what is on your mind” on the Internet can provide much information. In the current study, we statistically analysed survey data to examine whether individuals utilize impression management in their status updates on SNSs, whether their attempts at impression management are successful, and whether users who post these status updates can infer how others view them based on these contents, whether the status updates posted (...) on SNSs reflect information about users’ Big Five personality traits. The findings suggested that the meta–perception and perceivers’ judgments of all five traits are quite accurate, despite users’ aim to create different impression of most traits in their status updates. This study offers new empirical evidence about the model of interpersonal perception on SNSs and shows that status updates on SNSs can provide considerable information about their authors. (shrink)

The words ―Rights,‖ ―Trust,‖ ―Human Dignity,‖ and even ―Government‖ have widely varying meanings and connotations, differing across time, languages and cultures. Concepts of rights, trust, and human dignity have been examined for centuries in great depth by ethicists and other philosophers and by religious think-ers, and more recently by social scientists and, especially as related to information, by information scientists. Similarly, discussions of government are well documented in writings back to Plato and Aristotle, with investi-gations of electronic government (...) dating back only to the early 1990s with the advent of the Internet and the World Wide Web. At first e-government was described in glowing, positive terms. Little, if any, attention was paid to two critical questions: 1) Will people trust e-government? and 2) How will cultural differences affect individuals‘ trust in government and their perceptions of govern-ment‘s effect of their human dignity? Examinations of trust and distrust by individuals within organizations have addressed questions of motives and intentions, expectations of behavior, protection of interests, confi-dence in accuracy and reliability of information, vulnerability, and reciprocity, among other complex topics. Establishing e-government services often requires going through several phases: 1) publish , 2) interact transact transform . Building and maintaining trust in e-government require developing an understanding both of the many levels of interactions where trust must be earned and of cultural differences. Another challenge in developing such a framework is that e-government, itself, is very dynamic, changing rapidly over time. Trust in content or a system available one day may not carry over when the content and/or system changes dramatically. Components of a framework must include the follow-ing dimensions: conceptual domains, cultural dimensions, information content dimensions, and system di-mensions. Of course, these dimensions must be considered within the context of rapidly changing govern-ments, ICT services, the digital divide, and other factors. This paper provides a very brief overview of some of the notions of trust and distrust, concentrating on those concerning trust as it relates to notions of power, trust in organizations, and trust in information and information systems as one part of a framework to ad-dress the question of trust in e-government. It also makes a few recommendations for how to build citizen-centric e-government to ensure information rights through a focus on human dignity, fundamental human rights, and earning trust. (shrink)

A great deal of progress has been made on information ethics. Which portion is not sufficient? That might be the comparison from countries to countries. The purpose of this study was closely examined using the cross-cultural method for comparison. To determine the ethics cognitions and behaviors of the students, a comprehensive survey was distributed. The questionnaire for the study used Mason’s four essential factors in information ethics that included Privacy, Accuracy, Property and Accessibility (PAPA). The samples were (...) comprised of Kaohsiung Taiwan and Nanjing China, junior high school students in 2006. The sample and the survey were obtained from two stages of random sampling that was conducted using an Internet website. Students could read the online questionnaire in the computer laboratory and then send immediate feedback to the website server. The result of the experiment showed the divergence of information ethics in cognition and behavior between Kaohsiung and Nanjing school children. The effects of background and correlation are from cognition and behavior between two regions. (shrink)

Insight has been investigated under the assumption that participants solve insight problems with insight processes and/or experiences. A recent trend has involved presenting participants with the solution and analysing the resultant experience as if insight has taken place. We examined self-reports of the aha experience, a defining aspect of insight, before and after feedback, along with additional affective components of insight (e.g., pleasure, surprise, impasse). Classic insight problems, compound remote associates, and non-insight problems were randomly interleaved and presented to participants. (...) Solution feedback increased ratings of aha experience in both insight and non-insight problems, with this result being driven by responses to solutions that were initially incorrectly generated. Ratings of aha for correctly generated solutions decreased after the correct solution was presented. These findings have implications for insight research paradigms as well as informing teaching methods. (shrink)

This study investigates the performance of 21 monolingual and 56 bilingual children aged 5;6-9;0 on German-LITMUS-sentence-repetition (SRT; Hamann et al., 2013) and nonword-repetition-tasks (NWRT; Grimm et al., 2014), which were constructed according to the LITMUS-principles (Language Impairment Testing in Multilingual Settings; Armon-Lotem et al., 2015). Both tasks incorporate complex structures shown to be cross-linguistically challenging for children with Specific Language Impairment (SLI) and aim at minimizing bias against bilingual children while still being indicative of the presence of language impairment across (...) language combinations. Given the great variability in bilingual language exposure and the potential effect of language experience on language performance in bilingual children, we examined whether background variables related to bilingualism, particularly, the degree language dominance as measured by relative amount of use and exposure, could compromise the diagnostic accuracy of the German-LITMUS-SRT and NWRT. We further investigated whether a combination of the two tasks provides better diagnostic accurracy. To address this, we used an unsupervised machine learning algorithm, the Partitioning-Around-Medoids (PAM), for deriving a clinical category for the children as ±language-impaired based on performance scores on SRT and/or NWRT while withholding information about their clinical status based on standardized assessment in L1/L2. Subsequently, we calculated diagnostic accuracy and investigated which background variables (age of onset, length of exposure, degree of language-dominance, socio-economic-status, and risk factors for SLI) best explained clinical-group-membership yielded from the PAM-analysis based on NWRT and/or SRT scores. Results show that although language-dominance influences the performance of bilingual typically-developing children, especially in the SRT, the diagnostic accuracy of the tools is not compromised by language dominance: while risk factors for SLI were significant predictors for clinical group membership in all models, language dominance did not contribute at all to explaining clinical cluster membership as typically-developing or SLI based on any of the combinations of the SRT and NWRT variables. Additionally, results confirm that a combination of SRT scored by correct target structure and the structurally more complex language-dependent part of the NWRT yields better diagnostic accuracy than single measures and is only sensitive for risk factors for SLI and not to dominance levels or SES. (shrink)