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1.
Iain Stevenson 《Publishing Research Quarterly》2008,24(4):277-284
This paper reviews the current status of the Anglophone (Anglo-American) publishing business and draws some comparisons with publishing in other languages. It then critically reviews the impact of the Harry Potter phenomenon and the questionable progress of e-books in the trade sector, using the example of Stephen King’s Riding the Bullet. It also comments on Amazon’s introduction of the Kindle e-book reader. 相似文献
2.
Casey Brienza 《Publishing Research Quarterly》2017,33(4):373-379
In this paper, I will argue for key role played by the global culture of comics, of which the French publication Charlie Hebdo is but one small part, in the development and aftermath of the Paris terrorist attacks of 2015. I begin by exploring and elucidating this culture of comics that exists across France and other comic book producing nations and its associations with youthful rebellion, anarchy, and, more recently, misrecognized privilege and bigotry. A sociological perspective on the cultural history and practice of comics publishing through the twentieth and twenty-first centuries adds important context to the Je Suis Charlie movement and its place in the public discourse—while also further problematizing it. 相似文献
4.
In an earlier paper (Tian and Martin in Publ Res Q 27(3):230?C246, 2011) we identified ongoing developments in business models for book publishing consequent upon changes in such areas as those of organizational structure and culture, technology, publishing and the marketplace. However, it was already clear that book publishing, like every other industry would have to face up to the incipient challenges posed by the growing global phenomena of organizational sustainability and corporate social responsibility. Clearly this would require a response of a different order than before, not least in view of the greatly expanded range of potential factors involved. Our treatment of sustainability addresses two main themes: sustainability in the context of global concerns about resource depletion and destruction of the biosphere, and organizational sustainability in the at times adversarial relationship between profit seeking and good corporate citizenship. This paper begins with a look at some of the key terminology around sustainability in order to reinforce its relevance and applicability to the publishing industry. This necessarily limited treatment is confined to four key concepts namely: corporate sustainability, corporate social responsibility, corporate governance and corporate measurement and reporting. We then present some evidence for industry response to the principles and practical challenges of sustainability and relate these to implications for the design of appropriate business models. Finally we model the ongoing process of business model innovation for sustainability in book publishing. 相似文献
5.
Xu Zhuang Yan Zhu Chin-Chen Chang Qiang Peng Faisal Khurshid 《Information Retrieval》2017,20(6):547-574
Web spam pages exploit the biases of search engine algorithms to get higher than their deserved rankings in search results by using several types of spamming techniques. Many web spam demotion algorithms have been developed to combat spam via the use of the web link structure, from which the goodness or badness score of each web page is evaluated. Those scores are then used to identify spam pages or punish their rankings in search engine results. However, most of the published spam demotion algorithms differ from their base models by only very limited improvements and still suffer from some common score manipulation methods. The lack of a general framework for this field makes the task of designing high-performance spam demotion algorithms very inefficient. In this paper, we propose a unified score propagation model for web spam demotion algorithms by abstracting the score propagation process of relevant models with a forward score propagation function and a backward score propagation function, each of which can further be expressed as three sub-functions: a splitting function, an accepting function and a combination function. On the basis of the proposed model, we develop two new web spam demotion algorithms named Supervised Forward and Backward score Ranking (SFBR) and Unsupervised Forward and Backward score Ranking (UFBR). Our experiments, conducted on three large-scale public datasets, show that (1) SFBR is very robust and apparently outperforms other algorithms and (2) UFBR can obtain results comparable to some well-known supervised algorithms in the spam demotion task even if the UFBR is unsupervised. 相似文献
6.
Ezequiel Saferstein 《Publishing Research Quarterly》2016,32(4):301-312
The purpose of this work is to address the changes in the role of the publisher, based on the analysis of the dynamics and performance of the major publishing houses in Argentina today. Based on a number of interviews, we will seek to identify and analyze the tension occurring between the cultural and business logics among stakeholders with a particular interest in the field. These actors share a “publisher’s practical sense” that outlines their habitus and refers to a series of dispositions for action consisting of technical and theoretical knowledge, intuitive processes which, together, make up the publisher’s practice. 相似文献
7.
从国内数字出版业呈现出一些新的特点及其一些发展中的问题入手,介绍新闻出版总署提出的数字复合出版工程,这是我国出版产业的重组、整合、调整的新战略。这其中中文内容唯一标识符(CCId)是在整个数字复合出版整个流程中的关键因素,论文从
经营模式、内部管理模式、盈利模式等方面讨论CCID对国内数字出版具有重要影响,最后从出版源头、在线支付中的版权转移、规模化与多元化经营、专家审稿与读者在线评论、内容加工颗粒度变小而带来的新的利润模式等角度为数字出版产业调整提供一些策略。 相似文献
8.
Caio Moura Daoud Edleno Silva de Moura David Fernandes Altigran Soares da Silva Cristian Rossi Andre Carvalho 《Information Retrieval》2017,20(3):292-316
In this paper, we present Waves, a novel document-at-a-time algorithm for fast computing of top-k query results in search systems. The Waves algorithm uses multi-tier indexes for processing queries. It performs successive tentative evaluations of results which we call waves. Each wave traverses the index, starting from a specific tier level i. Each wave i may insert only those documents that occur in that tier level into the answer. After processing a wave, the algorithm checks whether the answer achieved might be changed by successive waves or not. A new wave is started only if it has a chance of changing the top-k scores. We show through experiments that such lazy query processing strategy results in smaller query processing times when compared to previous approaches proposed in the literature. We present experiments to compare Waves’ performance to the state-of-the-art document-at-a-time query processing methods that preserve top-k results and show scenarios where the method can be a good alternative algorithm for computing top-k results. 相似文献
9.
Franziska Hildebrandt 《Publishing Research Quarterly》2008,24(2):133-138
Who should control and exploit digital rights in the publishing industry? For a precise definition and a discussion the publishing industry needs basic knowledge of how to purchase and sell electronic rights and extended standard agreements. This article is covering a definition of digital rights, purchase, and sale of digital rights, business models to sell digital content and terms with related conditions. 相似文献
10.
11.
Kezban Dilek Onal Ye Zhang Ismail Sengor Altingovde Md Mustafizur Rahman Pinar Karagoz Alex Braylan Brandon Dang Heng-Lu Chang Henna Kim Quinten McNamara Aaron Angert Edward Banner Vivek Khetan Tyler McDonnell An Thanh Nguyen Dan Xu Byron C. Wallace Maarten de Rijke Matthew Lease 《Information Retrieval》2018,21(2-3):111-182
A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing. Because these modern NNs often comprise multiple interconnected layers, work in this area is often referred to as deep learning. Recent years have witnessed an explosive growth of research into NN-based approaches to information retrieval (IR). A significant body of work has now been created. In this paper, we survey the current landscape of Neural IR research, paying special attention to the use of learned distributed representations of textual units. We highlight the successes of neural IR thus far, catalog obstacles to its wider adoption, and suggest potentially promising directions for future research. 相似文献
12.
This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) tasks without running a shared-task campaign. The adopted approach (demonstrated over Arabic tweets) designs the collection around significant (i.e., popular) events, which enables the development of topics that represent frequent information needs of Twitter users for which rich content exists. That inherently facilitates the support of multiple tasks that generally revolve around events, namely event detection, ad-hoc search, timeline generation, and real-time summarization. The key highlights of the approach include diversifying the judgment pool via interactive search and multiple manually-crafted queries per topic, collecting high-quality annotations via crowd-workers for relevancy and in-house annotators for novelty, filtering out low-agreement topics and inaccessible tweets, and providing multiple subsets of the collection for better availability. Applying our methodology on Arabic tweets resulted in EveTAR, the first freely-available tweet test collection for multiple IR tasks. EveTAR includes a crawl of 355M Arabic tweets and covers 50 significant events for which about 62K tweets were judged with substantial average inter-annotator agreement (Kappa value of 0.71). We demonstrate the usability of EveTAR by evaluating existing algorithms in the respective tasks. Results indicate that the new collection can support reliable ranking of IR systems that is comparable to similar TREC collections, while providing strong baseline results for future studies over Arabic tweets. 相似文献
13.
Word embeddings and convolutional neural networks (CNN) have attracted extensive attention in various classification tasks for Twitter, e.g. sentiment classification. However, the effect of the configuration used to generate the word embeddings on the classification performance has not been studied in the existing literature. In this paper, using a Twitter election classification task that aims to detect election-related tweets, we investigate the impact of the background dataset used to train the embedding models, as well as the parameters of the word embedding training process, namely the context window size, the dimensionality and the number of negative samples, on the attained classification performance. By comparing the classification results of word embedding models that have been trained using different background corpora (e.g. Wikipedia articles and Twitter microposts), we show that the background data should align with the Twitter classification dataset both in data type and time period to achieve significantly better performance compared to baselines such as SVM with TF-IDF. Moreover, by evaluating the results of word embedding models trained using various context window sizes and dimensionalities, we find that large context window and dimension sizes are preferable to improve the performance. However, the number of negative samples parameter does not significantly affect the performance of the CNN classifiers. Our experimental results also show that choosing the correct word embedding model for use with CNN leads to statistically significant improvements over various baselines such as random, SVM with TF-IDF and SVM with word embeddings. Finally, for out-of-vocabulary (OOV) words that are not available in the learned word embedding models, we show that a simple OOV strategy to randomly initialise the OOV words without any prior knowledge is sufficient to attain a good classification performance among the current OOV strategies (e.g. a random initialisation using statistics of the pre-trained word embedding models). 相似文献
14.
Melanie Ramdarshan Bold 《Publishing Research Quarterly》2017,33(3):215-228
Historically, zines have been an alternative outlet for niche topics, or writers and writing, that are ignored by mainstream media. Zines are significant because they offer the opportunity for connection, community, and networking between those interested in these diverse topics. The developments in digital technology have enabled zines to extend into the online sphere: this increased access has resulted in increased participation (by readers and writers). This paper will focus on (digital) zines that are created by people of colour (POC). In recent years, there has been much discussion and media coverage about the lack of diversity in cultural output, and various campaigns, to promote diverse writing have followed. Through a case study of the POC Zines Project—a community-building project that promotes zines by POC—this paper will look at how creators of zines are experimenting with digital formats and social platforms, and will consider what mainstream publishers can learn from this. As Radway (in: Anouk (ed) From codex to hypertext. University of Massachusetts Press, Amherst, 2012) outlines “zine-ing is a social phenomenon, a form of social action driven by desires for new forms of sociability and new ways of being in the world” (p. 140): this paper will highlight the important of social collaboration and production on opening up the creative process and offering a response to the under-represented in traditional publishing. 相似文献
15.
Travis Gagie Aleksi Hartikainen Kalle Karhu Juha Kärkkäinen Gonzalo Navarro Simon J. Puglisi Jouni Sirén 《Information Retrieval》2017,20(3):253-291
Most of the fastest-growing string collections today are repetitive, that is, most of the constituent documents are similar to many others. As these collections keep growing, a key approach to handling them is to exploit their repetitiveness, which can reduce their space usage by orders of magnitude. We study the problem of indexing repetitive string collections in order to perform efficient document retrieval operations on them. Document retrieval problems are routinely solved by search engines on large natural language collections, but the techniques are less developed on generic string collections. The case of repetitive string collections is even less understood, and there are very few existing solutions. We develop two novel ideas, interleaved LCPs and precomputed document lists, that yield highly compressed indexes solving the problem of document listing (find all the documents where a string appears), top-k document retrieval (find the k documents where a string appears most often), and document counting (count the number of documents where a string appears). We also show that a classical data structure supporting the latter query becomes highly compressible on repetitive data. Finally, we show how the tools we developed can be combined to solve ranked conjunctive and disjunctive multi-term queries under the simple \({\textsf{tf}}{\textsf{-}}{\textsf{idf}}\) model of relevance. We thoroughly evaluate the resulting techniques in various real-life repetitiveness scenarios, and recommend the best choices for each case. 相似文献
16.
Tetsuya Sakai 《Information Retrieval》2016,19(3):256-283
Traditional pooling-based information retrieval (IR) test collections typically have \(n= 50\)–100 topics, but it is difficult for an IR researcher to say why the topic set size should really be n. The present study provides details on principled ways to determine the number of topics for a test collection to be built, based on a specific set of statistical requirements. We employ Nagata’s three sample size design techniques, which are based on the paired t test, one-way ANOVA, and confidence intervals, respectively. These topic set size design methods require topic-by-run score matrices from past test collections for the purpose of estimating the within-system population variance for a particular evaluation measure. While the previous work of Sakai incorrectly used estimates of the total variances, here we use the correct estimates of the within-system variances, which yield slightly smaller topic set sizes than those reported previously by Sakai. Moreover, this study provides a comparison across the three methods. Our conclusions nevertheless echo those of Sakai: as different evaluation measures can have vastly different within-system variances, they require substantially different topic set sizes under the same set of statistical requirements; by analysing the tradeoff between the topic set size and the pool depth for a particular evaluation measure in advance, researchers can build statistically reliable yet highly economical test collections. 相似文献
17.
- Innovative business models to complement or replace traditional models of funding academic publishing are currently proliferating.
- Not relying solely on one source of funding is a key factor in sustainability.
- Pay what you can afford (PWYCA) is a new model for article processing charges (APCs) providing both a revenue stream and an opportunity to raise awareness of the cost of publishing amongst authors.
- Treating a journal as part of an overall enterprise rather than as a stand‐alone business contributes significantly to its sustainability.
18.
T. N. Domnina 《Scientific and Technical Information Processing》2016,43(4):241-250
The megajournal is a new form of an academic open-access journal that is peer reviewed for scientific and methodological soundness. Thus, the perceived importance is not assessed, leaving it to the readers to decide whether an article is of interest and importance to them. After the highly successful launch of the PLOS ONE megajournal, other publishers followed this path. The current paper undertakes a review of the articles published internationally on the megajournal criteria defining its concept. It also traces how the new type of scientific publication has been developing and expanding since the PLoS ONE launch in 2006. 相似文献
19.
O. V. Syuntyurenko R. S. Gilyarevskii 《Scientific and Technical Information Processing》2017,44(2):107-118
The determining factors of the pattern of innovative development of Russia’s economy are considered. The structural functional insufficiency of the current interactions between basic science and industry is shown. The steady upward trend in exports of software and IT services of Russian companies is analyzed. The role and potential of innovation engineering companies in the field of information technologies is emphasized. The current relevant tasks of information support of innovative research, development, and technology transfer are discussed. Prospective areas for improving the efficiency of the national information structure are presented. 相似文献
20.
当前出版产业的驱动力已经由印刷时代的复制件控制权转化到数字内容的传播控制权中.数字出版时代产业链、商业模式也相较于传统内容产业复杂得多,由此带来的版权问题会更多.鉴此,论文以数字出版产业区别于传统产业的最大不同为出发点,分析现有数字内容产业的商业模式,依此探究其涉及产权问题.最后对在数字网络环境下,国际和本土版权法必须得变革,以及产权制度建设等提出了一些建议,以期为我国数字内容产业健康发展提供一定的支持. 相似文献