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10.1007/978-3-030-52485-2_7 http://scihub22266oqcxt.onion/10.1007/978-3-030-52485-2_7 C7352118!7352118!C7352118     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bias+and+Social+Aspects+in+Search+and+Recommendation 2020 ; 1245 (ä): 66-71 Nephropedia Template TP {{tp|p=C7352118|t=2020. : Exploring the Bias of Web Domains Through the Eyes of Users |pdf=|usr=}}{{C7352118}} gab.com Text : Exploring the Bias of Web Domains Through the Eyes of Users JO: Bias and Social Aspects in Search and Recommendation http://www.kidney.de/pget.php?&tw=1&pmid=C7352118 #FOAvip Ethical issues, along with transparency, disinformation and bias are in the focus of our information society. In this demo, we will present the system, that based on the web graph computes the bias characteristics of web domains to user-defined concepts. Our approach uses adaptations of propagation models and a variation of the pagerank algorithm named Biased-PR, that models various behaviours of biased surfers. Currently, the system runs over a subset of the greek web graph. We have developed cross-browser plugins that let users explore the bias characteristics of domains, define their own biased concepts and monitor the consumption of biased information through some analytics. Twit Text FOAVip : Exploring the Bias of Web Domains Through the Eyes of Users ????Bias and Social Aspects in Search and Recommendation http://www.kidney.de/pget.php?&tw=1&pmid=C7352118 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=C7352118 #FOAvip English Wikipedia <ref>{{Cite pmid|C7352118}}</ref> : Exploring the Bias of Web Domains Through the Eyes of Users #MMPMIDC7352118 Konstantakis G; Promponas G; Dretakis M; Papadakos P Bias and Social Aspects in Search and Recommendation 2020[]; 1245 (ä): 66-71 PMIDC7352118show ga Ethical issues, along with transparency, disinformation and bias are in the focus of our information society. In this demo, we will present the system, that based on the web graph computes the bias characteristics of web domains to user-defined concepts. Our approach uses adaptations of propagation models and a variation of the pagerank algorithm named Biased-PR, that models various behaviours of biased surfers. Currently, the system runs over a subset of the greek web graph. We have developed cross-browser plugins that let users explore the bias characteristics of domains, define their own biased concepts and monitor the consumption of biased information through some analytics. ä: Exploring the Bias of Web Domains Through the Eyes of Users (epmc).pdf DeepDyve Pubget Overpricing