Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal with the growing amount of information on the social web and the burden it brings on the average user, these gatekeepers recently started to introduce personalization features, algorithms that filter information per individual. In this paper we show that these online services that filter information are not merely algorithms. Humans not only affect the design of the (...) algorithms, but they also can manually influence the filtering process even when the algorithm is operational. We further analyze filtering processes in detail, show how personalization connects to other filtering techniques, and show that both human and technical biases are present in today’s emergent gatekeepers. We use the existing literature on gatekeeping and search engine bias and provide a model of algorithmic gatekeeping. (shrink)

It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democracies. In response to this threat others have developed algorithms and digital tools to combat (...) filter bubbles. This paper first provides examples of different software designs that try to break filter bubbles. Secondly, we show how norms required by two democracy models dominate the tools that are developed to fight the filter bubbles, while norms of other models are completely missing in the tools. The paper in conclusion argues that democracy itself is a contested concept and points to a variety of norms. Designers of diversity enhancing tools must thus be exposed to diverse conceptions of democracy. (shrink)

This article mainly aims to make an examination over the holy. It has been inquired into how something being ascribed holy can have a meaning in philosophy. As the article's research area, the differences in both opinion and execution which have later divided Christianity into two as Catholic and Orthodox Churches have been selected. The separation of these two churches under the subject titles such as Filioque controversy, the idea of First Among Equals (primas inter pares), and ritual of Transubstantiation (...) have also shaped how they perceived and thought the holy. With these divergences being investigated, it has been tried to present how much of a share these had in giving meaning for the holy. It has been labored to manifest the role of these two Churches' -which belong to and come from the same celestial tradition- divergences in the metamorphosis and paradigm shift that the holy underwent. For the last, through the Church Fathers' opinions and views which have been seen related to subject matter, with moving beyond the divergences, it has been searched whether there is a possibility of meeting on the common ground or not . (shrink)

In this article, it has been searched if the language and consciousness have a co-origin or not. This origin of language and consciousness problem which draws interest in areas especially like anthropology, biology and evolutionary linguistics and evolutionary psychology is tried to be handled from a philosophical point of view. By presenting the theories about the relation between language and consciousness, theories that are well-accepted but contradicted to another from certain aspects, a thinking -which tries to go beyond this contradiction- (...) about the origin of language and consciousness has been attempted. With paying regard to different approaches represented by names like Piaget, Vygotsky, Chomsky, Whorf, an investigation has been made about what the meaning of language and consciousness having a not historical but elementarily philosophical co-origin can mean. It has been aimed to present a compiling point of view with this investigation. (shrink)

In 2023, online search engine provider Microsoft integrated a language model that provides direct answers to search queries into its search engine Bing. Shortly afterwards, Google also introduced a similar feature to its search engine with the launch of Google Gemini. This introduction of direct answers to search queries signals an important and significant change in online search. This article explores the implications of this new search paradigm. Drawing on Donna Haraway’s theory of (...) _Situated Knowledges_ and Rainer Mühlhoff’s concept of _Sealed Surfaces_, I introduce the term _Sealed Knowledges_ to draw attention to the increasingly difficult access to the plurality of potential answers to search queries through the output of a singular, authoritative, and plausible text paragraph. I argue that the integration of language models for the provision of direct answers into search engines is based on a de-situated and disembodied understanding of knowledge and affects the subjectivities of its users. At the same time, the _sealing of knowledges_ can lead to an increasing spread of misinformation and may make marginalized knowledge increasingly difficult to find. The paper concludes with an outlook on how to resist the increasing _sealing of knowledges_ in online search. (shrink)

This paper investigates whether search engines and other new modes of online communication should be covered by free speech principles. It criticizes the analogical reason-ing that contemporary American courts and scholars have used to liken search engines to newspapers, and to extend free speech coverage to them based on that likeness. There are dissimilarities between search engines and newspapers that undermine the key analogy, and also rival analogies that can be drawn which don’t recommend (...) free speech protection for search engines. Partly on these bases, we argue that an analogical approach to questions of free speech coverage is of limited use in this context. Credible verdicts about how free speech principles should apply to new modes of online com-munication require us to re-excavate the normative foundations of free speech. This method for deciding free speech coverage suggests that only a subset of search engine outputs and similar online communication should receive special protection against government regulation. (shrink)

PurposeTo investigate how search engine users manipulate the rankings of search results. Search engines employ different ranking methods in order to display the “best” results first. One of the ranking methods is PageRank, where the number of links pointing to the page influences its rank. The “anchor text,” the clickable text of the hypertext link is another “ingredient” in the ranking method. There are a number of cases where the public challenged the Google's ranking, by creating (...) a so‐called “Google bomb” – creating links to pages they wanted to be highly ranked for given query. Google is chosen as the search engine, because it is currently by far the most popular search engine.Design/methodology/approachPageRank, one of the major parameters of Google's ranking algorithm is described, and the author explains how this algorithm is exploited by communities of users to promote a certain web page for a specific query. This process is called “Google bombing.” Recent reaction of Google to this phenomenon is also described.FindingsSpecific examples of “accomplished Google bombs” show that the public is able to manipulate search results.Originality/valueGoogle, instead of being an unobtrusive information retrieval tool has become highly influential in the web scenery. Some users pay for search engine optimization, while others utilize the power of the crowd to influence Google's rankings. This paper supports the claims of Introna and Nissenbaum regarding the power of search engines. (shrink)

How should we think about the ways search engines can go wrong? Following the publication of Safiya Noble’s Algorithms of Oppression (Noble 2018), a view has emerged that racist, sexist, and other problematic results should be thought of as indicative of algorithmic bias. In this paper, I offer an alternative angle on these results, building on Noble’s suggestion that search engines are complicit in a racial contract (Mills 1990). I argue that racist and sexist results should (...) be thought of as part of the workings of the social system of white ignorance. Along the way, I will argue that we should think about search engines not as sources of testimony, but as information-classification systems, and make a preliminary case for the importance of the social epistemology of technology. (shrink)

I analyse the impact of search engines on our cognitive and epistemic practices. For that purpose, I describe the processes of assessment of documents on the Web as relying on distributed cognition. Search engines together with Web users, are distributed assessment systems whose task is to enable efficient allocation of cognitive resources of those who use search engines. Specifying the cognitive function of search engines within these distributed assessment systems allows interpreting anew (...) the changes that have been caused by search engine technologies. I describe search engines as implementing reputation systems and point out the similarities with other reputation systems. I thus call attention to the continuity in the distributed cognitive processes that determine the allocation of cognitive resources for information gathering from others. (shrink)

How should the policies of search engines and other information intermediaries be ethically evaluated? It is argued that Kant’s principles for the public use of reason are useful starting points for the formulation of criteria for such an evaluation. The suggestion is, furthermore, that a search engine can be seen to provide a testimony to the user concerning what information that is most relevant to her query. This suggestion is used as the basis for the development of (...) a broadly Kantian account of a rational searcher. It is argued that the search engine companies are morally required to publish their information policies and act in accordance with them but given the threat of search engine spam they can have no obligation to publish the details of their algorithms. (shrink)

The Internet allows for the efficient dissemination of texts, thereby creating a rich hypertextual environment that is potentially conducive to stimulating the free exchange of ideas in a manner worthy of the modern scholar. However, the fact that any user whatsoever may disseminate texts in this manner presents two distinct problems. First, finding relevant resources on the Internet may take a fair amount of time and, second, once resources are found, determining their reliability is often difficult if the user is (...) not already an expert in the field of the resource under consideration. These problems -- efficiency in searching and academic quality-control -- are surmountable with existing technology, and many laboratories around the world are working hard to shape this technology into a variety of academic information retrieval services. (shrink)

The widespread use of online search engines to answer the general public’s needs for information has raised concerns about possible biases and the emerging of a ‘filter bubble’ in which users are isolated from attitude-discordant messages. Research is split between approaches that largely focus on the intrinsic limitations of search engines and approaches that investigate user search behavior. This work evaluates the findings and limitations of both approaches and advances a theoretical framework for empirical investigations (...) of cognitive biases in online search activities about health-related topics. We aim to investigate the interaction between the user and the search engine as a whole. Online search activity about health-related topics is considered as a hypothesis-testing process. Two questions emerge: whether the retrieved information provided by the search engines are fit to fulfill their role as evidence, and whether the use of this information by users is cognitively and epistemologically valid and unbiased. (shrink)

The purpose of this paper is to show how certain uses of search-engine technology raise concerns for personal privacy. In particular, we examine some privacy implications involving the use of search engines to acquire information about persons. We consider both a hypothetical scenario and an actual case in which one or more search engines are used to find information about an individual. In analyzing these two cases, we note that both illustrate an existing problem that (...) has been exacerbated by the use of search engines and the Internet – viz., the problem of articulating key distinctions involving the public vs. private aspects of personal information. We then draw a distinction between “public personal information” and “nonpublic personal information” to see how this scheme can be applied to a problem of protecting some forms of personal information that are now easily manipulated by computers and search engines – a concern that, following Helen Nissenbaum , we describe as the problem of privacy in public. (shrink)

We present a search engine for mathematical formulae. The MathWebSearch system harvests the web for content representations (currently MathML and OpenMath) of formulae and indexes them with substitution tree indexing, a technique originally developed for accessing intermediate results in automated theorem provers. For querying, we present a generic language extension approach that allows constructing queries by minimally annotating existing representations. First experiments show that this architecture results in a scalable application.

This article will explore the relation of search engines to the freedom they invoke in human subjects. Away from questions about the social impact of search engines and their ethical use, it shall investigate the influence of search engines on ethical subjectifications. The article will criticise the common critique that search engines should only deliver neutral and objective results to their users, where ‘neutral’ and ‘objective’ are defined as anti-subjective. On the contrary, (...) it will argue that search engines are designed to deliver subjective results. A possible ethical critique starts therefore where they fail to do so. Due to reasons immanent to the technology, search engines are never subjective enough in their relevance decisions. Their results collide at the same time with what their users expect them to deliver. The article will show that, far from being a disadvantage, this disagreement between the users’ expectations and the search engines results is what triggers an ethical subjectification. (shrink)

Human flesh search engine can be a double-edged sword, bringing convenience on the one hand and leading to infringement of personal privacy on the other hand. This paper discusses the ethical problems brought about by the human flesh search engine, as well as possible solutions.

This paper applies a virtue epistemology approach to using the Internet, as to improve our information-seeking behaviours. Virtue epistemology focusses on the cognitive character of agents and is less concerned with the nature of truth and epistemic justification as compared to traditional analytic epistemology. Due to this focus on cognitive character and agency, it is a fruitful but underexplored approach to using the Internet in an epistemically desirable way. Thus, the central question in this paper is: How to use the (...) Internet in an epistemically virtuous way? Using the work of Jason Baehr, it starts by outlining nine intellectual or epistemic virtues: curiosity, intellectual autonomy, intellectual humility, attentiveness, intellectual carefulness, intellectual thoroughness, open-mindedness, intellectual courage and intellectual tenacity. It then explores how we should deploy these virtues and avoid the corresponding vices when interacting with the Internet, particularly search engines. Whilst an epistemically virtuous use of the Internet will not guarantee that one will acquire true beliefs, understanding or even knowledge, it will strongly improve one’s information-seeking behaviours. The paper ends with arguing that teaching and assessing online intellectual virtues should be part of school and university curricula, perhaps embedded in critical thinking courses, or even better, as individual units. (shrink)

Search engines have become an integral part of our Internet use. They shape the way we look at the world, they provide orientation where there is none; but the maps they draw are too often hijacked by commercial interest. Search engines are less black box than black foam; functional decoupling, parasite technologies, and the embedding in the greater context of culture and society render the search act subject to overdetermination. Control is thus diluted into a (...) dense network of human and non-human “actants” and the power of the search engine is located in a control zone rather than a control center. In order to shift power back to the public, this paper proposes the concept of “symmetry of confidence”, a new relationship between search engine companies and their users. (shrink)

We commonly evaluate search engines and the results they return, but what grounds those evaluations? One straightforward way of evaluating search engines appeals to their ability to satisfy the goals of the user. Are there, in addition, user-independent norms, that allow us to evaluate search engines in ways that may come apart from their ability to satisfy the individuals who use them? One way of grounding such norms appeals to moral or political considerations. I (...) argue that in addition to those norms, there are also distinct user-independent epistemic norms that apply to search engines. Evaluating search engines relative to them, however, requires us to appreciate the impact search engines have on our practices and norms of inquiry more broadly: by systematically altering the accessibility of information, search engines don’t just give us information but shape our collective imagination, and the categories it operates over. (shrink)

The fact that Internet companies may record our personal data and track our online behavior for commercial or political purpose has emphasized aspects related to online privacy. This has also led to the development of search engines that promise no tracking and privacy. Search engines also have a major role in spreading low-quality health information such as that of anti-vaccine websites. This study investigates the relationship between search engines’ approach to privacy and the scientific (...) quality of the information they return. We analyzed the first 30 webpages returned searching “vaccines autism” in English, Spanish, Italian, and French. The results show that not only “alternative” search engines but also other commercial engines often return more anti-vaccine pages (10–53%) than Google (0%). Some localized versions of Google, however, returned more anti-vaccine webpages (up to 10%) than Google. Health information returned by search engines has an impact on public health and, specifically, in the acceptance of vaccines. The issue of information quality when seeking information for making health-related decisions also impact the ethical aspect represented by the right to an informed consent. Our study suggests that designing a search engine that is privacy savvy and avoids issues with filter bubbles that can result from user-tracking is necessary but insufficient; instead, mechanisms should be developed to test search engines from the perspective of information quality (particularly for health-related webpages) before they can be deemed trustworthy providers of public health information. (shrink)

Retrieval efficiencies of paper-based references in journals and other serials containing 10 scientific names of fossil amphibians were determined for seven major search engines. Retrievals were compared to the number of references obtained covering the period 1895—2006 by a Comprehensive Search. The latter was primarily a traditional library-based search which involved intensive work from 2002—2007. Only a few references originally obtained by search engines were included. Retrieval efficiencies were calculated by comparison to the number (...) obtained through the Comprehensive Search (assumed to be 100%). All percent retrievals were quite low (mean = 11.3%, range = 4.0—22.9%). For all seven search engines combined (duplicate references excluded), the percent retrieval was only 40.7%. There was also retrieval inefficiency and bias of the search engines in: sampling over time, the top five journals containing the most references, the top five most prolific authors, and non-English references. Consequently, all seven search engines were unsatisfactory for retrieval of references for our scientific research. (shrink)

When making a decision, humans consider two types of information: information they have acquired through their prior experience of the world, and further information they gather to support the decision in question. Here, we present evidence that data from search engines such as Google can help us model both sources of information. We show that statistics from search engines on the frequency of content on the Internet can help us estimate the statistical structure of prior experience; (...) and, specifically, we outline how such statistics can inform psychological theories concerning the valuation of human lives, or choices involving delayed outcomes. Turning to information gathering, we show that search query data might help measure human information gathering, and it may predict subsequent decisions. Such data enable us to compare information gathered across nations, where analyses suggest, for example, a greater focus on the future in countries with a higher per capita GDP. We conclude that search engine data constitute a valuable new resource for cognitive scientists, offering a fascinating new tool for understanding the human decision-making process. (shrink)

Search engines are important contemporary sources of information and contribute to shaping our beliefs about the world. Each time they are consulted, various algorithms filter and order content to show us relevant results for the inputted search query. Because these search engines are frequently and widely consulted, it is necessary to have a clear understanding of the distinctively epistemic role that these algorithms play in the background of our online experiences. To aid in such understanding, (...) this paper argues that search engine algorithms are providers of “bent testimony”—that, within certain contexts of interactions, users act as if these algorithms provide us with testimony—and acquire or alter beliefs on that basis. Specifically, we treat search engine algorithms as if they were asserting as true the content ordered at the top of a search results page—which has interesting parallels with how we might treat an ordinary testifier. As such, existing discussions in the philosophy of testimony can help us better understand and, in turn, improve our interactions with search engines. By explicating the mechanisms by which we come to accept this “bent testimony,” our paper discusses methods to help us control our epistemic reliance on search engine algorithms and clarifies the normative expectations one ought to place on the search engines that deploy these algorithms. (shrink)

This paper shows how the dream archive and search engine on DreamBank.net, a Web site containing over 22,000 dream reports, can be used to generate new findings on dream content, some of which raise interesting questions about the relationship between dreaming and various forms of waking thought. It begins with studies that draw dream reports from DreamBank.net for studies of social networks in dreams, and then demonstrates the usefulness of the search engine by employing word strings relating to (...) religious and sexual elements. Examples from two lengthy individual dream series are used to show how the dreams of one person can be studied for characters, activities, and emotions. A final example shows that accurate inferences about a person’s religious beliefs can be made on the basis of reading through dreams retrieved with a few keywords. The overall findings are similar to those in studies using traditional forms of content analysis. (shrink)

Search engines play an increasingly pivotal role in the distribution and eventual construction of knowledge, yet they are largely unnoticed, their procedures are opaque, and they are almost completely devoid of independent oversight. In this paper the author examines three areas in which we encounter difficult and persistent ethical issues in search engine technology: The problem of algorithm and the lack of transparency of the search process, the problem of privacy with regards of the possibility to (...) monitor search histories, and the problem of local censorship. The given findings lead to the conclusion that the development of structures of accountability for search engines is an important task for the near future. (shrink)

Kleinberg (1999) describes a novel procedure for efficient search in a dense hyper-linked environment, such as the world wide web. The procedure exploits information implicit in the links between pages so as to identify patterns of connectivity indicative of “authorative sources”. At a more general level, the trick is to use this second-order link-structure information to rapidly and cheaply identify the knowledge- structures most likely to be relevant given a specific input. I shall argue that Kleinberg’s procedure is suggestive (...) of a new, viable, and neuroscientifically plausible solution to at least (one incarnation of) the so-called “Frame Problem” in cognitive science viz the problem of explaining global abductive inference. More accurately, I shall argue that. (shrink)

1. The Search Engine operators inform the users about the way in which the Search Engine works; particularly the basic criteria of ranking are explained. Also, the Search Engine operators describe which ways of manipulating websites lead to exclusion from the result lists in case of doubt.2. The Search Engine operators design their sites in the most transparent way. Contents whose position on the result list is due to a commercial arrangement are clearly marked.3. It is (...) the intention of the Search Engine opera-tors to protect children and youths from morally damaging contents. To this purpose, the opera-tors provide family filters and point out to the fact that filters do not guarantee absolute pro-tection for youths and that children should not use the internet without their parents´ supervision.4. Those sites which are regarded illegal according to national legislation will be excluded from the result lists as soon as the operators know about them and have access to the illegal sites on the index.5. For handling the users´ data there is the princi-ple of data-thriftiness.This “Code of Conduct” was developed by Carsten Welp. It was first published in: Marcel Machill and Carsten Welp : Wegweiser im Netz. Gütersloh: Bertelsmann Stiftung 2003. Republished and trans-lated by kind permission of Marcel Machill. (shrink)

We present a search engine for mathematical formulae. The MathWebSearch system harvests the web for content representations of formulae and indexes them with substitution tree indexing. In version 0.4 we have parallelized and distributed the search server and augmented the web interface with a new JavaScript-based visual editor for content math formulae. Furthermore, we have extended the query language by generalization, variants, unification, and text search facilities, which can also be mixed. Our experiments show that this architecture (...) results in a scalable application. (shrink)

Purpose Google commands approximately 70 per cent of search market share worldwide, resulting in businesses investing heavily in search engine advertising on Google to target potential customers. Recently, Google changed the way in which content and ads were displayed on the search engine results page. This reshuffling of content and ads is expected to affect the advertisers who advertise on Google and/or use it to drive traffic to their websites. The purpose of this study is to analyze (...) the impact of these changes on various stakeholders. Design/methodology/approach Data have been collected from various sources on the internet including blogs and discussion forums. Netnography has been used as it allows a detailed evaluation of the consumers’ needs, wants and choices in a virtual space. Findings The average cost-per-click for ads on the top positions is expected to increase. Advertisers whose ads usually occupy the lower positions would be adversely affected. To counter this, more emphasis should be placed on ad extensions and on product listing ads. In addition, organizations would benefit from increased efforts on search engine optimization. Practical implications A variety of coping strategies have been developed that can help marketers to successfully navigate through the change, including the use of ad extensions and the use of product listing ads. Originality/value This practice-focused paper offers guidelines for digital marketers to use sponsored search more effectively as part of their arsenal in light of some important changes recently made by Google. The potential of netnography as a research methodology has also been expanded by using it in a novel setting and in drawing up actionable insights. (shrink)

This paper enquires into the politics of real-time in online media. It suggests that real-time cannot be accounted for as a universal temporal frame in which events happen, but explores the making of real-time from a device perspective focusing on the temporalities of platforms. Based on an empirical study exploring the pace at which various online media produce new content, we trace the different rhythms, patterns or tempos created by the interplay of devices, users’ web activities and issues. What emerges (...) are distinct forms of ‘realtimeness’ which are not external from but specific to devices, organized through socio-technical arrangements and practices of use. Realtimeness thus unflattens more general accounts of the real-time web and research, and draws attention to the agencies built into specific platform temporalities and the political economies of making real-time. (shrink)

Berichte zur Wissenschaftsgeschichte, EarlyView.

Amidst the surge in AI-oriented commercial ventures, music is a site of intensive efforts to innovate. A number of companies are seeking to apply AI to music production and consumption, and amongst them several are seeking to reinvent the music listening experience as adaptive, interactive, functional and infinitely generative. These are bold objectives, having no clear roadmap for what designs, technologies and use cases, if any, will be successful. Thus each company relies on speculative product visions. Through four case studies (...) of such companies, I consider how product visions must carefully provide a clear plan for developers and investors, whilst also remaining open to agile user-centred product development strategies, which I discuss in terms of the ‘blind search’ nature of innovation. I suggest that innovation in this area needs to be understood in terms of technological emergence, which is neither technologically determinist nor driven entirely by the visions of founders, but through a complex of interacting forces. I also consider, through these cases, how, through the accumulation of residual value, all such start-up work risks being exapted for more familiar extractive capitalist agendas under the general process that Doctorow calls “enshittification”. Lastly, I consider a number of other more specific ways in which these projects, if their growth is achieved, could influence music culture more broadly. (shrink)

The paper examines some of the processes of the closely knit relationship between Google’s ideologies of neutrality and objectivity and global market dominance. Neutrality construction comprises an important element sustaining the company’s economic position and is reflected in constant updates, estimates and changes to utility and relevance of search results. Providing a purely technical solution to these issues proves to be increasingly difficult without a human hand in steering algorithmic solutions. Search relevance fluctuates and shifts through continuous tinkering (...) and tweaking of the search algorithm. The company also uses third parties to hire human raters for performing quality assessments of algorithmic updates and adaptations in linguistically and culturally diverse global markets. The adaptation process contradicts the technical foundations of the company and calculations based on the initial Page Rank algorithm. Annual market reports, Google’s Search Quality Rating Guidelines, and reports from media specialising in search engine optimisation business are analysed. The Search Quality Rating Guidelines document provides a rare glimpse into the internal architecture of search algorithms and the notions of utility and relevance which are presented and structured as neutral and objective. Intertwined layers of ideology, hidden labour of human raters, advertising revenues, market dominance and control are discussed throughout the paper. (shrink)

It is commonly assumed that personalization technologies used by Google for the purpose of tailoring search results for individual users create filter bubbles, which reinforce users’ political views. Surprisingly, empirical evidence for a personalization-induced filter bubble has not been forthcoming. Here, we investigate whether filter bubbles may result instead from a searcher’s choice of search queries. In the first experiment, participants rated the left-right leaning of 48 queries (search strings), 6 for each of 8 topics (abortion, benefits, (...) climate change, sex equality, immigration, nuclear family, Islam, and taxation). An independent sample of participants were then asked to select one of these queries for each of the 8 topics. With the exception of the topic of Islam, participants were significantly more likely to select a query corresponding to their own political leaning, compared to other queries, explaining between 12% and 39% of the variance. A second experiment investigated the effect of the political leaning of the same queries on the overall political leaning of Search Engine Result Pages (SERPs) in Google Search. The top six results of each SERP were rated collectively by a third group of participants, explaining 36.3% of the variance across all 48 search terms (p < .00001). That is, (1) participants in our experiments tended to select own-side search queries, and (2) using those queries tended to yield own-side search results when using the Google search engine. Our results are consistent with the notion of a self-imposed filter bubble in which query selection plays a salient role. (shrink)

Information providing and gathering increasingly involve technologies like search ‎engines, which actively shape their epistemic surroundings. Yet, a satisfying account ‎of the epistemic responsibilities associated with them does not exist. We analyze ‎automatically generated search suggestions from the perspective of social ‎epistemology to illustrate how epistemic responsibilities associated with a ‎technology can be derived and assigned. Drawing on our previously developed ‎theoretical framework that connects responsible epistemic behavior to ‎practicability, we address two questions: first, given the different (...) technological ‎possibilities available to searchers, the search technology, and search providers, ‎who should bear which responsibilities? Second, given the technology’s ‎epistemically relevant features and potential harms, how should search terms be ‎autocompleted? Our analysis reveals that epistemic responsibility lies mostly with ‎search providers, which should eliminate three categories of autosuggestions: those ‎that result from organized attacks, those that perpetuate damaging stereotypes, and ‎those that associate negative characteristics with specific individuals.‎. (shrink)

Using a Web search engine is one of today’s most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning. In this paper, we introduce a novel framework model which incorporates the perspective of both psychology and computer science to describe the search as learning process by reviewing recent literature. The main entities of the model are the learner who is surrounded by a specific (...) learning context, the interface that mediates between the learner and the information environment, the information retrieval backend which manages the processes between the interface and the set of Web resources, that is, the collective Web knowledge represented in resources of different modalities. At first, we provide an overview of the current state of the art with regard to the five main entities of our model, before we outline areas of future research to improve our understanding of search as learning processes. (shrink)

Members of the lay public are turning increasingly to the internet to answer health-related questions. Some authors suggest that the widespread availability of online health information has dislodged medical knowledge from its traditional institutional base and enabled a growing role for alternative or previously unrecognized health perspectives and ‘lay health expertise’. Others have argued, however, that the organization of information retrieved from influential search engines, particularly Google, has merely intensified mainstream perspectives because of the growing consolidation of the (...) internet with traditional, commercial media sources. In this paper we describe an analysis of ‘first page’ results retrieved through Google searches about several common health concerns, each of which has been the subject of controversy as a result of uncertain aetiology, diagnoses, outcomes and/or contested approaches to treatment. Our findings suggest that the online search tactics used by most lay health information seekers produce sources of information that, for the most part, reflect mainstream biomedical discourses, often linked to commercial interests, rather than a plurality of voices that offer a variety of perspectives and resources. We discuss the implications for health-interested internet searchers who fail to look beyond the ‘first page’. (shrink)

: A popular belief is that the process whereby search engines tailor their search results to individual users, so-called personalization, leads to filter bubbles in the sense of ideologically segregated search results that would tend to reinforce the user’s prior view. Since filter bubbles are thought to be detrimental to society, there have been calls for further legal regulation of search engines beyond the so-called Right to be Forgotten Act. However, the scientific evidence for (...) the filter bubble hypothesis is surprisingly limited. Previous studies of personalization have focused on the extent to which different users get different results lists without taking the content on the webpages into account. Such methods are unsuitable for detecting filter bubbles as such. In this paper, we propose a methodology that takes content differences between webpages into account. In particular, the method involves studying the extent to which users with strong opposing views on an issue receive search results that are correlated content-wise with their personal view. Will users of with strong prior opinion that X is true on average have a larger share of search results that are in favor of X than users with a strong prior opinion that X is false? We illustrate our methodology at work, but also the non-trivial challenges it faces, by a small-scale study of the extent to which Google Search leads to ideological segregation on the issue of man-made climate change. (shrink)

Is it OK to lie to Siri? Is it bad to mistreat a robot for our own pleasure? Under what condition should we grant a moral status to an artificial intelligence (AI) system? This paper looks at different arguments for granting moral status to an AI system: the idea of indirect duties, the relational argument, the argument from intelligence, the arguments from life and information, and the argument from sentience. In each but the last case, we find unresolved issues with (...) the particular argument, which leads us to move to a different one. We leave the idea of indirect duties aside since these duties do not imply considering an AI system for its own sake. The paper rejects the relational argument and the argument from intelligence. The argument from life may lead us to grant a moral status to an AI system, but only in a weak sense. Sentience, by contrast, is a strong argument for the moral status of an AI system—based, among other things, on the Aristotelian principle of equality: that same cases should be treated in the same way. The paper points out, however, that no AI system is sentient given the current level of technological development. (shrink)

The paper discusses the problem of assignment production resources in executing a production order on the example of the car rims manufacturing process. The more resources are involved in implementing the manufacturing process and the more they can be used interchangeably, the more complex and problematic the scheduling process becomes. Special attention is paid to the effective scheduling and assignment of rim machining operations to production stations in the considered manufacturing process. In this case, the use of traditional scheduling methods (...) based on simple calculations, or the know-how of process engineers often turns out to be insufficient to achieve the intended results. Due to the scale of the problems faced in practice, the methods based on approximate approaches (Genetic and Tabu Search) were used to solve them. In this perspective, the problem under consideration involves the extension of the classic assignment problem with the possibility of taking into account: the times of operations, potential changeovers and the capacity of production resources. (shrink)

Industrial engineering is a field dealing with optimization of complex processes, systems, or organizations by developing, improving and implementing integrated systems of people, money, knowledge, information, equipment, energy, and materials. Hence, the scope of industrial engineering is wide and includes various fields, from manufacturing, through banking, different types of services, to administration and healthcare. Various industrial engineering tools could be implemented in healthcare settings. The use of such tools is popular in western economies. For example, simulation modelling of services is (...) popular in the US. However, there is still a very limited number of case studies on the application of such tools in healthcare that would consider the Polish economy. The aim of this paper is to present selected successful applications of lean management tools in the Polish healthcare. This may serve as an inspiration for healthcare organizations to search for and implement methodological approaches to improve their services. (shrink)