Latest news and updates on the activities of SAIL LABS in July

Latest news and updates on the activities of SAIL LABS in July

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Here are the latest news and updates on the activities of SAIL LABS in July.

News and Updates

Upcoming Events

Hybrid Warfare & OSINT Webinar

Due to the current travel restrictions introduced to avoid the spread of COVID-19, we offer you a possibility to join our free live webinars consisting of online live sessions with the members of our team! Each webinar is dedicated to a specific topic and the one for which you can still register is focused on Hybrid Warfare & OSINT and will be showcased by SAIL LABS’ CVO, Mark Pfeiffer, on July 29 at 15:00 (CEST).

The conflicts of the future will be hybrid and in the information domain. As one of the main goals of hybrid warfare is to influence the citizens, the existence of the Internet and social media represent a suitable platform for spreading polarizing, misleading and negative narratives. Disinformation and fake news are shared through Internet-enabled propaganda, which became one of the methods of hybrid warfare.

This workshop provides insights into different types of hybrid threats, open source intelligence and other intelligence types, how media literacy and media consumption is relevant and what to watch out for in the current times.

You can take a look at an overview video and summary from the last webinar about Hybrid warfare by clicking here.

You can save your spot for one or more SAIL Webinars by clicking on the button below.


Past Events

Fake News & OSINT Webinar

In times of a pandemic, misinformation campaigns are not only harmful to electoral process, fact-based journalism and potential citizens’ decisions based on inaccurate information, but now also to people’s lives. Our OSINT solution empowers users to detect Fake News, polarizing narratives and discover various conspiracy theories by incorporating an automated-bots detection, topic and entities detection and sentiment analysis done in the original language.

SAIL LABS’ Director of Business Development, Francesca Galeotti, walked participants through the topic of Fake News and showcased how open source intelligence (OSINT) can help when investigating the origin of a narrative or how to uncover automated bots spreading messages on social media during the webinar on July 15.

A summary overview of the webinar can be found here.


Migration & OSINT Webinar

Increased migration is the characteristic feature of the second decade of the 21st century occupying the economic and human capacity of intelligence services all over the world. Let it be the European migrant crisis in 2015 or the last migration-related crisis at the Greek-Turkish border in 2020, it is crucial to examine the communication discourse surrounding the migration phenomenon to prevent future crises. This includes not only investigating what do refugees and migrants talk about, but also which media do they consume and share and if they are encouraged by particular actors.

Webinar on July 1 led by Alexander Oberkersch, the Business Development Manager at SAIL LABS, showcased both theoretical background and practical real-life usage of open source intelligence (OSINT) when investigating migration related cases or threats.

An overview video and summary of the webinar can be found here.



SAIL LABS’ contribution to CSI network analysis for the H2020 project ROXANNE

Collecting and analysing the evidence of a crime can easily exceed the capabilities of teams as investigators often deal with large and dynamically changing criminal cases.

The ROXANNE (Real time network, text and speaker analytics for combating organized crime) is an EU-funded H2020 collaborative research and innovation project, which focuses on providing robust and efficient means of identifying criminals by combining the advances in speech, language and video technologies with criminal network analysis. The aim of the project is to develop a novel platform, reducing the investigation time and costs for law enforcement agencies.

SAIL LABS recently contributed to the development of the CSI case study, in which the idea was to analyse the conversational networks in selected episodes of the CSI: Crime Scene Investigation series. As part of this study, a data collection of conversations among the characters was prepared; automatic speech recognition and speaker clustering technologies were applied on the audio, and network analysis techniques were used to uncover the hidden patterns regarding the behaviour and relations among individuals, finally leading to a detailed knowledge of “who talked to whom” from the videos.

You can find out more about network analysis and this CSI case study on ROXANNE´s website.

The ROXANNE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement № 833635.


Fully-Automated Quantitative Reports

The Fully-Automated Quantitative Report (FAQR) is a configurable, flexible, timely report generator to produce structured documents. Powered by the Media Mining Client Web (MMC-Web), the FAQR delivers information on a topic of interest (a country, a person, an organization or any profile or entity added to the system). It allows real-time updates which can be printed or shared electronically. Ultimately, it combines benefits from various possibilities of the system, such as multilingual and multimedia data from selected sources like TV, radio, web pages, RSS & feeds, Internet videos, social media channels and press in more than 30 languages.

In order to receive a sample with an updated FAQR on COVID-19 or an overview of Syria with the latest data about the topic, please fill in the form on our website. You will be equipped with current insights about the media coverage of the topic of interest!

To receive our FAQR Coronavirus or Syria Reports,

please fill in our request form.


New Media Mining System 2019-2 Release

The newest version of our award-winning Media Mining System (MMSys), 2019-2 Release, is officially available since January 2020.

Some of the additional features in the latest MMSys version relate to the Media Mining Indexer – these are summarized below.

  • Extended models for Urdu (ur_pk) and Pashto (ps_af) which now contain a speaker identification (SID) model, a model for topic detection (TD) as well as a model for sentiment analysis (SA)
  • Improved tagging of named entities (references of last names alone)
  • CAVA – continuous automatic vocabulary adaptation for English, German, French and Spanish

You can access the Release Notes 2019-2 now by clicking on the download button below

An overview of audio, video and text processing.


In case you have missed our social media posts, you can find our three most popular tweets in July below! Access their full content by clicking on them.


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