Retrieval of Visually Shared News

  • Dmitrijs MilajevsEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1119)


Some state funded media outlets are known to disseminate disinformation. The scientific community has shown a lot of interest in the network of bots that amplify this content. This work studies how the content of media outlets is spread among individual users on social media. We focus on tweets that include news articles as visual attachments because they are very powerful in delivering a convincing message, but are hard to retrieve. We propose and evaluate a model that is able to identify screenshots of news articles with a precision of 0.23 and a recall of 0.80. As an demonstration of the model, we analyzed the tweets of Twitter users from Latvia and identified patterns of news distribution.


Social media News Opinion manipulation 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Guest Researcher at NISTMarylandUSA

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