FML Blog

In touch with innovation: TrustServista

Wednesday, June 21, 2017      Future Media Lab. team       0

 

The Future Media Lab. team is continuing our “In touch with innovation” series on our blog with a series of Q&A’s that were conducted with media start-ups from across Europe. In this edition, we spoke with George Bara, the Co-Founder and Chief Strategy Officer at TrustServista in Romania. TrustServista provides digital investigation tool that automatically determines the origin and trustworthiness of online news stories. TrustServista has also recently launched 1.0 version of their product.

 

Future Media Lab.: What is the main idea behind your startup? 

George Bara: The idea behind TrustServista is to provide the media industry with a tool that can perform real-time automated verification of news content, in order to curb the impact of fake news propagation and shorten investigation times for media professionals. 

 

TrustServista brings in a fully automated process that allows determining the origin and trustworthiness of online news. TrustServista transforms the way the media industry could detect propaganda, detect fake news and verify any news article through the use of artificial intelligence and text analytics - thereby discovering the original source of information, called “Patient Zero” and automatically calculating the trustworthiness level for each article through a machine learning approach - giving newsrooms an edge to counter the glut of non-verifiable information.

 

FMLab.: What observation kicked off your project?

GB: TrustServista has been born out as a step towards media innovation as we see the topic of fake news gaining momentum. Our tool aims to transform one of the most complicated process in the news media industry, strengthening the fourth pillar of democracy - we end the longstanding wait of media industry for a fully automated tool that helps journalists recognize fake news and verify the trustworthiness of news.

 

Through the use of Artificial Intelligence and Text Analytics, TrustServista determines similarities between news articles using advanced text analytics algorithms, extracting entities from articles and determines how articles are linked to each other and builds a relationship graph that can be explored and investigated. As a software tool designed to perform digital news investigations, it uses a unique approach that can determine the origin and trustworthiness of online news, helping journalists and news agencies to significantly shorten investigation time in order to create high-quality and trustworthy content.

 

FMLab.: What is your added value to media companies in content curation/dissemination/monetization?

GB: TrustServista has been born out as a step towards media innovation as we see the topic of fake news gaining momentum. Our tool aims to transform one of the most complicated process in the news media industry, strengthening the fourth pillar of democracy - we end the longstanding wait of media industry for a fully automated tool that helps journalists recognize fake news and verify the trustworthiness of news.

 

Through the use of Artificial Intelligence and Text Analytics, TrustServista determines similarities between news articles using advanced text analytics algorithms, extracting entities from articles and determines how articles are linked to each other and builds a relationship graph that can be explored and investigated. As a software tool designed to perform digital news investigations, it uses a unique approach that can determine the origin and trustworthiness of online news, helping journalists and news agencies to significantly shorten investigation time in order to create high-quality and trustworthy content.

 

FMLab.: What is your next big challenge/goal?

GB: One of the biggest challenge is to have the right mix of editorial team under the TrustServista umbrella so that they understand both the media and software process. They need to research on ongoing global trending stories but also specific use cases to understand how our software platform could automatically recognize models like clickbait and propaganda and use this to create trustworthiness checks. It’s not easy and often time demanding to set up an mixed bag of investigative journalists, data journalists, news researchers, software developers and data scientists to be part of one team.  

 

Our next goal is to have the next version(s) of TrustServista focus on being able to also process non-English content and to use machine learning technologies in order to expand and refine the TrustLevel trustworthiness algorithm and make the platform easier to use and to adopt through the implementation of APIs.

 

The “viralization” of untrusted content will also be tackled in the next versions, as TrustServista will add dashboards that will allow to monitor the impact of news & blog articles on social media (Facebook, Twitter, others).

 

 

Editor’s note: The Future Media Lab. recently teamed up with Next Media Accelerator to publish a compendium of start-ups from across Europe who are working on solving some of the challenges facing the media sector today, particularly around content creation, monetization, dissemination and curation. Many of the start-ups were present to ‘pitch’ their solutions at the Future Media Lab. annual conference , which took place in Brussels on 2 May 2017. You can find an overview of many European media start-ups in a compendium that the Future Media Lab., together with next media accelerator , published in April 2017.


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