{"version":"1.0","provider_name":"Center for Democracy and Technology","provider_url":"https:\/\/cdt.org","author_name":"Tim Hoagland","author_url":"https:\/\/cdt.org\/author\/thoagland\/","title":"Mixed Messages? The Limits of Automated Social Media Content Analysis","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Bi8ZSVwQ0R\"><a href=\"https:\/\/cdt.org\/insights\/mixed-messages-the-limits-of-automated-social-media-content-analysis\/\">Mixed Messages? The Limits of Automated Social Media Content Analysis<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/cdt.org\/insights\/mixed-messages-the-limits-of-automated-social-media-content-analysis\/embed\/#?secret=Bi8ZSVwQ0R\" width=\"600\" height=\"338\" title=\"&#8220;Mixed Messages? The Limits of Automated Social Media Content Analysis&#8221; &#8212; Center for Democracy and Technology\" data-secret=\"Bi8ZSVwQ0R\" 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","thumbnail_url":"https:\/\/cdt.org\/wp-content\/uploads\/2017\/11\/2017-11-02-Content-Mod-cover-for-social-191x1.png","thumbnail_width":2210,"thumbnail_height":1157,"description":"This paper explains the capabilities and limitations of tools for analyzing the text of social media posts and other online content. It is intended to help policymakers understand and evaluate available tools and the potential consequences of using them"}