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<form class="">
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    <div class="first-half col-md-6">
      <p><input type="text" name="FirstName" placeholder="First name" value=""></p>
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          <div class="flag-dropdown ">
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  <div class="fs-12 contact-form-check"><label><input type="checkbox"> <!-- -->Tick to Receive Our Newsletter &amp; Updates</label></div><button type="submit" class="btn btn-primary">Send Message</button>
</form>

<form class="">
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CASE STUDY


AI FOR ENABLING FACT-CHECKING

 * Artificial Intelligence
 * 
 * a year ago



Client

The client was a startup funded by Google that operates with the purpose of
generating social awareness about fake or misleading news disseminated online
with its AI-powered analytical tool that assesses the credibility of
information.

Industry

News & Media/Startup

Background

The client enjoys the reputation of being a leading social enterprise offering
information products for consumers and B2B clients. Its mobile app harnesses
Artificial Intelligence (AI) for analysing the information made available
online. Newsfeed provided to users is contextualised and consolidated with
customizable services that check facts based on the preferences and likings of
users.  Client products equip individuals, organizations, and governments with
actionable and accurate knowledge for making conscious decisions without any
fallacies. 

Offering

Our client offers incisive tools for evaluating the sources of information or
viral news to ascertain the trustworthiness, integrity, and credibility of
information floating on the internet. 

The flagship product is a mobile application that amalgamates the insights drawn
from machine learning, human intelligence, NLP (Natural Language Processing),
and AI for identifying fake news so as to enhance the quality of information
being circulated online. 

The B2B products offered by the client provide users with the ability to
evaluate the dependability of online information sources and review their
reputation quotients using APIs.

Challenges

The client was confronted with a number of challenges, outlined below, for which
it sought the qualified intervention of Cubet.

 

 * Social polarization had to be addressed by preventing the circulation of fake
   news through digital touchpoints.
 * A huge volume of news or information and its sources had to be scanned
   exceptionally fast to establish the credibility and truth quotient of the
   information.
 * Rifts developing in society due to an alarming increase of fake news had to
   be mended with a logical interpretation of each piece of information’s
   source.
 * A powerful and bespoke AI-driven algorithm had to be developed that can track
   down fake news and make qualitative improvements in news being read online.
 * The fake news detector must deliver customised results in real-time
   efficiently and should be scalable.

Solution

The client entered into a strategic partnership with Cubet for the development
of an ecosystem of applications and services that can decisively ascertain the
credibility of news circulated online with cutting-edge technologies.

Our team brainstormed with the client over the challenges and arrived at the
following conclusions regarding important components of the proposed solution.

 

 * Advanced algorithms of machine learning, NLP (Natural Language Processing),
   and AI to be leveraged for dissecting news articles and ascertaining their
   trustworthiness.
 * Information contextualization and anomaly detection are  to be carried out by
   underpinning automated analysis with expert human intervention.
 * Tailored news feeds to be provided to users routed through credible
   fact-checking mechanisms to help them consume thoroughly verified and
   relevant news
 * Develop an easily navigable user interface with provision for alerts in
   real-time to serve users with contemporary and recent news. 
 * Combat the illicit circulation of fake and provocative news with innovative
   solutions that can also upgrade the quality of online information meant for
   consumption by individuals or businesses.
 * API services to be developed which can be used by organisations to trace fake
   news as a service.

 

Technological Interventions

We set out to materialise the aspirations of the client with innovative
technological frameworks, as outlined below.

 

 * Provision for analysing and validating the news articles’ credibility was
   facilitated through an AI-underpinned news application that drew strength
   from sophisticated technologies combining machine learning algorithms, NLP
   (natural language processing), and data analytics.
 * Inconsistencies are detected, and information is cross-referenced by the
   system using different sources and databases like social media channels,
   fact-checking sites, and news archives.
 * Scalability and accuracy in processing and analysing data are ensured by
   building the application on a comprehensive cloud-based infrastructure.
 * Interactive user interfaces and sophisticated data visualisation techniques
   are used to facilitate users' clearly understanding the context and
   trustworthiness of news articles.
 * Powerful data security and privacy protection measures were instituted to
   safeguard the sensitive details of users and foil attempts to breach data or
   access information in an unauthorised way.

 

The innovative applications were deployed with the following key features:

 * Fact-checking Mechanism

A customised fact-checking solution allows users to validate the credibility and
accuracy of news articles so that they can differentiate between fake and
correct news and make more informed decisions.

 * Contextualised Newsfeeds

Users’ preferences and likings are factored in when providing relevant and
personalised news articles while shielding them from misguided or fake news.

 * Easy to interface

The user-friendly and intuitive interface allows users to browse through all
categories of news and related features seamlessly and access relevant
information easily.

 * Notifications and Alerts in Real-time

Users can immediately get relevant updates on breaking news in their areas of
interest as the application sends notifications and alerts in real time based on
the browsing history and preferences of users.

 * Fake News Detection

The application checks the veracity and reliability quotient of news articles by
leveraging machine learning, AI, and NLP algorithms. Consequently, users can
easily steer clear of misleading news information.

 * Ability to Customize Information

Users can avail of different customization features that help them browse
relevant news articles in categories of their choice based on their requirements
and interests.

 * Fact-Checking as a service.

Provides users with the ability to verify the accuracy and authenticity of
information presented in various forms, such as articles, news stories, social
media posts, and other sources. The service can be used by individuals,
businesses, and organizations to ensure that the information they are presenting
or using is accurate and trustworthy.

Outcomes and Impact

Cubet’s expertise and experience ensconced the client as a trailblazer in the
AI-driven credibility assessment and accuracy analysis of online news segments.
The client saw exponential growth in the business and it started to receive
numerous recognitions and awards worldwide. Within 2 years of launching, various
Government departments, news agencies started using the service. 

The users could now consume authentic and contextualised news articles, which
helped them make informed decisions. Governments started using the platform as a
citizen service to check and verify news during elections.  The fact-checking
mechanism verifies the information critically and the customization features
allow users to get highly filtered news based on their needs. Nothing important
skipped the attention of users as they get notifications and alerts in real-time
which improved the overall experience quotient. The service has made a
significant social impact within 4 years of its inception. 

Technologies 

 * Python

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