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In this article we present an approach that leverages the complementary nature of social multimedia content by utilizing heterogeneous sources of social media feeds to assess the impact area of a natural disaster. More specifically, we introduce a novel social multimedia triangulation process that uses both Twitter and Flickr content in an integrated two\u2010step process: Twitter content is used to identify toponym references associated with a disaster; this information is then used to provide approximate orientation for the associated Flickr imagery, allowing us to delineate the impact area as the overlap of multiple view footprints. In this approach, we practically crowdsource approximate orientations from Twitter content and use this information to orient Flickr imagery accordingly and identify the impact area through viewshed analysis and viewpoint integration. This approach enables us to avoid computationally intensive image analysis tasks associated with traditional image orientation, while allowing us to triangulate numerous images by having them pointed towards the crowdsourced toponym location. The article presents our approach and demonstrates its performance using a real\u2010world wildfire event as a representative application case study.<\/jats:p>","DOI":"10.1111\/tgis.12122","type":"journal-article","created":{"date-parts":[[2014,11,17]],"date-time":"2014-11-17T03:32:24Z","timestamp":1416195144000},"page":"694-715","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["Triangulating Social Multimedia Content for Event Localization using Flickr and Twitter"],"prefix":"10.1111","volume":"19","author":[{"given":"George","family":"Panteras","sequence":"first","affiliation":[{"name":"George Mason University"}]},{"given":"Sarah","family":"Wise","sequence":"additional","affiliation":[{"name":"George Mason University"}]},{"given":"Xu","family":"Lu","sequence":"additional","affiliation":[{"name":"George Mason University"}]},{"given":"Arie","family":"Croitoru","sequence":"additional","affiliation":[{"name":"George Mason University"}]},{"given":"Andrew","family":"Crooks","sequence":"additional","affiliation":[{"name":"George Mason University"}]},{"given":"Anthony","family":"Stefanidis","sequence":"additional","affiliation":[{"name":"George Mason University"}]}],"member":"311","published-online":{"date-parts":[[2014,11,16]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"crossref","unstructured":"AgichteinE CastilloC DonatoD GionisA andMishneG2008Finding high quality content in social media. 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