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2019 | OriginalPaper | Chapter

Retrieval of Visually Shared News

Author : Dmitrijs Milajevs

Published in: Artificial Intelligence and Natural Language

Publisher: Springer International Publishing

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Abstract

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.

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previous chapter Soft Estimates of User Protection from Social Engineering Attacks

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An English transliteration, for example Ligo, was not used, as the English term is ambiguous: it also stands for The Laser Interferometer Gravitational-Wave Observatory (LIGO) among other meanings. We also have noticed that it is common to use Latvian spelling in English tweets.

Most of the time, the bots were listing national teams playing at the FIFA World Cup, together with Jāņi or Līgo, as they were trending in Latvia during that time.

Due to technical reasons, the tweets from August 20 to September 5 were not collected and are not present in the final collection.

Because by location we mean perceived location, it does not mean that a Ukrainian account is actually a legitimate account from Ukraine. It could be a bot operated by a foreign actor. Because of this, statements about not Latvian accounts are not designed to be representative of the whole population of the corresponding group.

These steps were not performed strictly one after another, instead there were several iterations.

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Title: Retrieval of Visually Shared News
Author: Dmitrijs Milajevs
Publisher: Springer International Publishing
Book: Artificial Intelligence and Natural Language
Print ISBN: 978-3-030-34517-4

Electronic ISBN: 978-3-030-34518-1

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-34518-1_5

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