added screenshot and og meta tags

bias.js

@@ -31,16 +31,13 @@ function bias(phrase) {
   feminine_word_count = feminine_words.length;
   masculine_word_count = masculine_words.length;
 
-  console.log("feminine_words: " + feminine_words);
-  console.log("masculine_words: " + masculine_words);
-
   var coding_score = feminine_word_count - masculine_word_count;
 
   if (coding_score === 0) {
     if (feminine_word_count) {
       coding = "neutral";
     } else {
-      coding = "empty";
+      coding = "empty, no gendered words found";
     }
   } else if (coding_score > 3) {
     coding = "strongly feminine-coded";

index.htm

@@ -6,6 +6,26 @@
   <meta http-equiv="X-UA-Compatible" content="IE=edge">
   <meta name="viewport" content="width=device-width, initial-scale=1">
 
+  <meta property="og:locale" content="en_US" />
+  <meta property="og:type" content="article" />
+  <meta property="og:title" content="Javascript gender bias detector" />
+  <meta property="og:description" content="JGendered wording (i.e., masculine- and feminine-themed words, such as those associated with gender stereotypes) may be an unacknowledged, institutional-level mechanism of inequality gender maintenance." />
+  <meta property="og:url" content="https://darenr.github.io/gender-bias" />
+  <meta property="og:image" content="https://darenr.github.io/gender-bias/gender-bias-screenshot.png" />
+  <meta property="og:site_name" content="github - daren race - gender bias" />
+  <meta property="article:tag" content="gender bias" />
+  <meta property="article:tag" content="daren race" />
+  <meta property="article:tag" content="machine learning" />
+  <meta property="article:section" content="Articles" />
+  <meta property="article:published_time" content="2018-10-02T10:00:36+00:00" />
+  <meta property="article:modified_time" content="2018-10-20T14:49:37+00:00" />
+  <meta property="og:updated_time" content="2018-11-02T14:49:37+00:00" />
+  <meta name="twitter:card" content="summary" />
+  <meta name="twitter:description" content="Gendered wording (i.e., masculine- and feminine-themed words, such as those associated with gender stereotypes) may be an unacknowledged, institutional-level mechanism of inequality gender maintenance." />
+  <meta name="twitter:title" content="Javascript gender bias detector" />
+  <meta name="twitter:image" content="https://darenr.github.io/gender-bias/gender-bias-screenshot.png" />
+
+
   <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
   <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css">