![]() In the example below, this image of a woman mourning dead children was tweeted and shared widely in relation to emerging reports of Syrian government forces advancing into eastern Aleppo, beginning on the evening of 12 December 2016. Researchers have also been successful in using reverse image search for facial recognition to identify the actors involved. Reverse image searches can also be used to conduct a more in-depth analysis of an image or video, allowing the researcher to isolate and analyze distinct features such as buildings, vehicles, or other signs and symbols that may help to establish the time and place of the event. In this case, perform a reverse image search with the thumbnails that are created by YouTube when uploading a video (all thumbnails automatically generated by YouTube can be extracted through the InVid Plugin or Amnesty’s Youtube Data Viewer ). Tip: A reverse image search can also be highly useful to track down previous versions of YouTube videos. Further, a reverse image search can help an investigator track down the original uploader of a particular piece of media. ![]() Especially during emerging crises, old pictures are often posted online - often purporting to portray something other than they actually do portray - and go viral due to uncritical re-sharing through social networks (this happens regularly both during complex emergencies and natural disasters). This is crucial for determining if an old image is being “recycled” as new. A reverse image search allows an investigator to search image databases on the internet for previous versions of the same picture. One of the introductory tools that we share in our trainings is a “reverse image search.” It is the first step we take to verify a piece of visual content in many of our investigations. Tools needed: InVid-WeVerify plugin installed in Chrome or Firefox, Screenshot tool for video searches ![]()
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