{"id":602,"date":"2017-02-25T07:38:09","date_gmt":"2017-02-25T12:38:09","guid":{"rendered":"https:\/\/researchbdev.wpengine.com\/digital-computational-studies\/?p=602"},"modified":"2017-02-25T07:38:09","modified_gmt":"2017-02-25T12:38:09","slug":"geographic-mapping-of-google-suggestions","status":"publish","type":"post","link":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/digital-computational-studies\/geographic-mapping-of-google-suggestions\/","title":{"rendered":"Geographic Mapping of Google Suggestions"},"content":{"rendered":"

Zeitgeist Borders is a search engine that allows for users\u00a0to distinguish what others are looking for on Google at a given point in time and cultural contexts.<\/p>\n

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Excerpt of UN Women advertisement campaign against gender-based discrimination toward women. Since this campaign controversial suggestions are regularly banned by Google, replaced by non- offensive ones, or turned off.<\/figcaption><\/figure>\n

Google’s autocomplete technologies serve to make the human- computer interaction more efficient by attempting to predict the word or sentence a user may input after only a few characters have been typed into a text input field.<\/p>\n

Antoine Mazi\u00e8rez states that “[w]hile past searches, account preferences and browsing interests differ for every individual logged user, location- specific suggestions is the only universal discriminant for suggestions, whether the user is logged in or not.\u00a0Several measures allowed us to establish which elements are used by Google to perform such content discrimination: the public IP that originated the request and the “hl” (which stands or Human Language) parameter passed along with the query that express which language the user is commonly using.”<\/p>\n

Here, the user entered “Why my dog.” On the left there are common suggestions. When you mouse over one of the suggestions it will highlight the countries with different shades to indicate the ranking of the given suggestion for the given country.<\/figcaption><\/figure>\n

If you’d like to test it out Antoine Mazi\u00e8rez’s project for yourself explore this link:\u00a0https:\/\/zeitgeist-borders.antonomase.fr\/?q=Why%20my%20dog%20<\/a><\/p>\n

 <\/p>\n

Mazieres, A. (2016). Georgraphical projection of Google's suggestions diversity. In 3rd GESIS Computational Social Science Winter Symposium.<\/pre>\n","protected":false},"excerpt":{"rendered":"
Zeitgeist Borders is a search engine that allows for users\u00a0to distinguish what others are looking for on Google at a given point in time and cultural contexts. Google’s autocomplete technologies serve to make the human- computer interaction more efficient by attempting to predict the word or sentence a user may input after only a few […]<\/p>\n","protected":false},"author":101,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-602","post","type-post","status-publish","format-standard","category-digital-computational-studies","entry"],"_links":{"self":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/posts\/602","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/users\/101"}],"replies":[{"embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/comments?post=602"}],"version-history":[{"count":0,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/posts\/602\/revisions"}],"wp:attachment":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/media?parent=602"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/categories?post=602"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/tags?post=602"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}