{"version":"1.0","provider_name":"Leibniz HBI","provider_url":"https:\/\/newws.leibniz-hbi.de\/en\/","title":"Argument Mining for Organizational Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"yE7b5qR22z\"><a href=\"https:\/\/newws.leibniz-hbi.de\/en\/hbi-publications\/argument-mining-for-organizational-research\/\">Argument Mining for Organizational Research<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/newws.leibniz-hbi.de\/en\/hbi-publications\/argument-mining-for-organizational-research\/embed\/#?secret=yE7b5qR22z\" width=\"600\" height=\"338\" title=\"&#8220;Argument Mining for Organizational Research&#8221; &#8212; Leibniz HBI\" data-secret=\"yE7b5qR22z\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\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\/\/# sourceURL=https:\/\/newws.leibniz-hbi.de\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/newws.leibniz-hbi.de\/wp-content\/uploads\/2024\/07\/Header-Publikationen_e.jpg","thumbnail_width":1380,"thumbnail_height":400,"description":"Research on argument mining has been a part of natural language processing (NLP) for more than ten years. Although it has potential applications in legal, political, and social contexts, this approach has largely been overlooked in organizational research. In their article, Dr. Gregor Wiedemann, Cornelia Fedtke, and Cristina Besio introduce aspect-based argument mining (ABAM) as [&hellip;]"}