Credibility in Web Search Engines

  title={Credibility in Web Search Engines},
  author={Dirk Lewandowski},
Web search engines apply a variety of ranking signals to achieve user satisfaction, i.e., results pages that provide the best-possible results to the user. While these ranking signals implicitly consider credibility (e.g., by measuring popularity), explicit measures of credibility are not applied. In this chapter, credibility in Web search engines is discussed in a broad context: credibility as a measure for including documents in a search engine's index, credibility as a ranking signal… 

Figures and Tables from this paper

Credible Mechanism for More Reliable Search Engine Results
This paper presents a design and development of a credible mechanism that searches Web search engine and then ranks sites according to its reliability, and shows that the credibility terms on the Websites can affect the ranking of the Websearch engine and greatly improves retrieval effectiveness.
The effects of credibility cues on the selection of search engine results
Of the three credibility cues, only reputation had an additional effect on selection probabilities of search engine results, and personal characteristics did not influence the preference for search results linked with certain credibility cues.
Ranking versus reputation: perception and effects of search result credibility
An interaction effect between the type of website and the primary source of information is found, however, participants’ selection was mainly influenced by the ranking, and reasons for this discrepancy are discussed.
Web Pages Credibility Scores for Improving Accuracy of Answers in Web-Based Question Answering Systems
The research found that credibility categories including correctness, professionalism, impartiality, and quality significantly improved the accuracy of answers, and categories such as authority, currency, popularity played a minor role instead.
The Role of Search Result Position and Source Trustworthiness in the Selection of Web Search Results When Using a List or a Grid Interface
This work systematically investigated whether participants who were asked to search for an unfamiliar and controversial medical issue accessed fewer trustworthy information sources and consequently included less information from trustworthy pages in their argumentation when the search results were ranked from least to most trustworthy on a Google-like SERP.
Searching the Web for conflicting topics: Page and user factors
Use of web page credibility information in increasing the accuracy of web-based question answering systems / Asad Ali Shah
A credibility assessment algorithm for evaluating Web pages and using their credibility score for ranking answers in Web-based QA systems is proposed and it is conclusively established that proposed CredOMQA performs better than other credibility-basedQA systems, which employ credibility assessment partially.
Whose relevance? Web search engines as multisided relevance machines
Google's response to the so‐called COVID‐19 infodemic is taken as a starting point to argue for the need to consider societal relevance as a complement to other types of relevance.
This chapter discusses the responsibilities of Google as the leading search engine provider to provide fair and unbiased results and discusses techniques and algorithms from information retrieval and how decisions made in the design of the algorithms influence what the authors as users get to see in search engines.


Chapter 10 How Search Engine Users Evaluate and Select Web Search Results: The Impact of the Search Engine Interface on Credibility Assessments
The chapter outlines how alternative search engine interfaces that display search results in a format different from a list and/or provide prominent quality-related cues in the SERPs can foster searchers' credibility evaluations.
Web Searching: A Quality Measurement Perspective
Empirical results have implications for the evaluation of Web search engines and for the development of better search systems that give the user the best possible search experience.
Ranking of Wikipedia articles in search engines revisited: Fair ranking for reasonable quality?
This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles and develops and applies a heuristic method for evaluating Wikipedia entries that scored highly in a search engine retrieval effectiveness test and compared with the relevance judgment of jurors.
Web Search Studies: Multidisciplinary Perspectives on Web Search Engines
This article aims to organize a meta-discipline of “web search studies,” centered around a nucleus of major research on web search engines from five key perspectives: technical foundations and evaluations; transaction log analyses; user studies; political, ethical, and cultural critiques; and legal and policy analyses.
Web searching, search engines and Information Retrieval
The challenges in indexing the World Wide Web, the user behaviour, and the ranking factors used by these engines are discussed, mainly of those that are based on the widely used link popularity measures.
Quality dimensions of Internet search engines
The customer expectations identified in this paper will be of great help not only to the designers for improving the search engines, but also to the users for selecting suitable ones.
Standard parameters for searching behaviour in search engines and their empirical evaluation
It is observed that some patterns stay stable in a number of different search engines, and shed light on patterns that shorter analyses could not adequately examine, which does not support the assumption that web search has become more business driven.
The Retrieval Effectiveness of Web Search Engines: Considering Results Descriptions
A comparison of five major web search engines for their retrieval effectiveness, taking into account not only the results, but also the results descriptions, implies that search engines should focus on relevant descriptions.
Implementation and evaluation of a quality-based search engine
  • T. Mandl
  • Computer Science
  • 2006
An approach for the implementation of a quality-based Web search engine is proposed and evaluation results show that quality based ranking does lead to better results concerning the perceived quality of Web pages presented in the result set.
Service quality of Internet search engines
Although each search engine has its own strong and weak points, the important quality factors identified in this paper should be very helpful not only to the designers, but also to the users for selecting suitable search engines.