Enhancing credibility judgment of web search results

Abstract

In this paper, we propose a system for helping users to judge the credibility of Web search results and to search for credible Web pages. Conventional Web search engines present only titles, snippets, and URLs for users, which give few clues to judge the credibility of Web search results. Moreover, ranking algorithms of the conventional Web search engines are often based on relevance and popularity of Web pages. Towards credibility-oriented Web search, our proposed system provides users with the following three functions: (1) calculation and visualization of several scores of Web search results on the main credibility aspects, (2) prediction of user's credibility judgment model through user's credibility feedback for Web search results, and (3) re-ranking of Web search results based on user's predicted credibility model. Experimental results suggest that our system enables users -in particular, users with knowledge about search topics -to find credible Web pages from a list of Web search results more efficiently than conventional Web search interfaces.

Web Credibility: Features Exploration and Credibility Prediction

“…Some previous work on web credibility evaluation aims to identify the most relevant features for credibility assessments and make them more prominent to users [3,4], while others use such features to automate the credibility assessment [6][7][8][9]. In this section, we survey work that (1) identifies relevant features and (2) proposes methods for automatic web credibility assessment.…”

“…Recent work proposed to visually augment web pages with features providing evidence about their credibility [3,4]. Although more meaningful information is provided to users, augmenting web pages brought little benefit due to lack of prominence [3]: showing many features to users is undesirable; each feature would become less prominent due to information clutter.…”

“…Other solutions attempt automated web content credibility assessment [4,6,7,11,15,16]. In [15,16], credibility scores are computed based on Web's link structure.…”

“…On the one hand, existing approaches to credibility assessment rely on humans judging visualizations of web page aspects [3,4]. On the other hand, one may leverage the "wisdom of the crowds", i.e., other users' credibility evaluations.…”

Creating an Intentional Web Presence: Strategies for Every Educational Technology Professional

“…Further, reflecting how integrated and indispensable the Internet and social networks/media are in our lives as tools and spaces for information curation and communication (Fallows, 2005;Yamamoto & Tanaka, 2011), members increasingly use technology to connect, collaborate, and grow in social networks. Therefore, professionals in our field can no longer resist technology.…”