1,720,954 research outputs found
Colmatando a lacuna de adoção de IA com o Microsoft Copilot : uma experiência comparativa de texto SEO gerado por IA
No full textSmall and medium-sized enterprises (SMEs) face persistent challenges in adopting artificial intelligence (AI) due to limited resources, technical know-how, and data privacy concerns. On the contrary, especially within the intersect of AI and search engine optimization (SEO), while the literature is still in an embryonic phase, existing research has already acknowledged the potential of large language models (LLMs) for SEO purposes. While most studies focus on freely accessible tools like ChatGPT, other enterprise-grade solutions like MS Copilot are mostly overlooked. To address this gap, this study evaluates whether Copilot-generated search engine optimized product texts can enhance product page performance across three dimensions: Algorithmic relevance (H1), user engagement (H2), and commercial impact (H3). For this purpose, a controlled online field experiment was conducted within a German SME in the beauty and healthcare sector. From a sample of 20 product pages, half of the product texts were exchanged with Copilot-generated content, while the other half served as a control group and tracked eight weeks before and after the intervention. While statistical significance remained limited, descriptive patterns cautiously indicate that Copilot-generated content may improve search visibility and, in isolated cases, positively affect sales outcomes. Importantly, no evidence was found that such AI-generated content harms visibility or user experience. In doing so, this study contributes to the emerging embryonic research of applied AI in the field of SEO, offering an explorative foundation for future research. Furthermore, it offers first practical hints for SME practitioners evaluating the integration of AI-driven tools like MS Copilot.As pequenas e médias empresas (PMEs) enfrentam desafios persistentes na adoção de inteligência artificial (IA) devido a recursos limitados, conhecimento técnico e preocupações com a privacidade dos dados. Na intersecção entre IA e otimização para motores de busca (SEO), embora a literatura esteja em fase inicial, já se reconhece o potencial dos grandes modelos de linguagem (LLMs), sendo o Microsoft Copilot pouco explorado em comparação com ferramentas gratuitas como o ChatGPT. Este estudo investiga se textos de produtos otimizados para SEO, gerados pelo Copilot, melhoram o desempenho de páginas de produto em três dimensões: relevância algorítmica (H1), envolvimento do utilizador (H2) e impacto comercial (H3). Conduziu-se um experimento de campo online controlado numa PME alemã do setor de beleza e saúde, com 20 páginas de produto, divididas igualmente entre grupo de tratamento e grupo de controlo, acompanhadas por oito semanas antes e depois da intervenção. Os resultados, embora sem significância estatística robusta, indicam que o conteúdo gerado pelo Copilot pode melhorar a visibilidade nas pesquisas e, em casos isolados, influenciar positivamente as vendas, sem evidências de prejuízo à visibilidade ou à experiência do utilizador. O estudo contribui para a investigação emergente sobre a aplicação de IA em SEO e oferece orientações iniciais para PMEs que pretendam integrar ferramentas como o Microsoft Copilot em fluxos de trabalho de marketing de forma eficiente e escalável
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Bridging the AI adoption gap with Microsoft copilot: A comparative experiment of ai-generated SEO text
No full textBRIDGING THE AI ADOPTION GAP WITH MICROSOFT COPILOT: A COMPARATIVE EXPERIMENT OF AI-GENERATED SEO TEXT
Bridging the AI adoption gap with Microsoft copilot: A comparative experiment of ai-generated SEO text (1
- …
