{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Sangho Lee","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/sanghle\/","title":"CrowdTarget: Target-based Detection of Crowdturfing in Online Social Networks - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"95GqSJh1zU\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/crowdtarget-target-based-detection-of-crowdturfing-in-online-social-networks\/\">CrowdTarget: Target-based Detection of Crowdturfing in Online Social Networks<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/crowdtarget-target-based-detection-of-crowdturfing-in-online-social-networks\/embed\/#?secret=95GqSJh1zU\" width=\"600\" height=\"338\" title=\"&#8220;CrowdTarget: Target-based Detection of Crowdturfing in Online Social Networks&#8221; &#8212; Microsoft Research\" data-secret=\"95GqSJh1zU\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","description":"Malicious crowdsourcing, also known as crowdtur\ufb01ng, has become an important security problem. However, detecting accounts performing crowdtur\ufb01ng tasks is challenging because human workers manage the crowdtur\ufb01ng accounts such that their characteristics are similar with the characteristics of normal accounts. In this paper, we propose a novel crowdtur\ufb01ng detection method, called CrowdTarget, that aims to detect [&hellip;]"}