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Future Internet
Special Issues
The Current State of Search Engines and Search Engine Optimization
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The Current State of Search Engines and Search Engine Optimization

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: closed (12 January 2022) | Viewed by 12552

Special Issue Editor

Prof. Dr. Kenning Arlitsch

E-Mail Website
Guest Editor
Dean of the Library, Montana State University, Bozeman, MT, USA
Interests: search engine optimization; semantic web identity; institutional repositories; web analytics; webometrics; library administration

Special Issue Information

Dear Colleagues,

Search engines have entered their third decade as powerful and sometimes controversial arbiters of information discovery on the Internet. The concepts and techniques of search engine optimization (SEO), designed to maximize crawling, harvesting, and indexing of websites and repositories, are nearly as old as search engines themselves. While Google has dominated the search engine market, it is being increasingly challenged in the courtroom and in the competitive technology marketplace. New search engine products have appeared in recent years, many of which are intended to offer alternatives for users concerned about tracking and privacy issues.

It is time to assess the current state of Internet search engines and SEO in academia and industry, and to imagine future directions of discovery on the Web. Are SEO techniques widely understood and are they used effectively? Do organizations view SEO as a strategic objective, and do they require reporting to demonstrate its effectiveness? How are search engines evolving to incorporate artificial intelligence, machine learning, and the Semantic Web? Do search engines mine Semantic Web structured entity knowledge bases and do organizations actively populate those sources? How have search engine algorithms contributed to misinformation and political discourse? Is user privacy even possible in the search engine world? These are just some of the possible topics that may be explored in this special issue and we invite your participation.

Prof. Dr. Kenning Arlitsch
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • search engines
  • search engine optimization (SEO)
  • search engine marketing (SEM)
  • semantic web and search engines
  • knowledge graphs and knowledge panels
  • artificial intelligence and search engines
  • personalized search
  • privacy and user data
  • search engine analytics

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Published Papers (1 paper)

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Research

17 pages, 2829 KiB  
Article
Language Bias in the Google Scholar Ranking Algorithm
by Cristòfol Rovira, Lluís Codina and Carlos Lopezosa
Future Internet 2021, 13(2), 31; https://doi.org/10.3390/fi13020031 - 27 Jan 2021
Cited by 29 | Viewed by 11353
Abstract
The visibility of academic articles or conference papers depends on their being easily found in academic search engines, above all in Google Scholar. To enhance this visibility, search engine optimization (SEO) has been applied in recent years to academic search engines in order [...] Read more.
The visibility of academic articles or conference papers depends on their being easily found in academic search engines, above all in Google Scholar. To enhance this visibility, search engine optimization (SEO) has been applied in recent years to academic search engines in order to optimize documents and, thereby, ensure they are better ranked in search pages (i.e., academic search engine optimization or ASEO). To achieve this degree of optimization, we first need to further our understanding of Google Scholar’s relevance ranking algorithm, so that, based on this knowledge, we can highlight or improve those characteristics that academic documents already present and which are taken into account by the algorithm. This study seeks to advance our knowledge in this line of research by determining whether the language in which a document is published is a positioning factor in the Google Scholar relevance ranking algorithm. Here, we employ a reverse engineering research methodology based on a statistical analysis that uses Spearman’s correlation coefficient. The results obtained point to a bias in multilingual searches conducted in Google Scholar with documents published in languages other than in English being systematically relegated to positions that make them virtually invisible. This finding has important repercussions, both for conducting searches and for optimizing positioning in Google Scholar, being especially critical for articles on subjects that are expressed in the same way in English and other languages, the case, for example, of trademarks, chemical compounds, industrial products, acronyms, drugs, diseases, etc. Full article
(This article belongs to the Special Issue The Current State of Search Engines and Search Engine Optimization)
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