Datametrex Introduces World Class Bot Detection and Fake News Filter
September 05 2019 - 10:41AM
Datametrex AI Limited (the “
Company” or
“
Datametrex”) (
TSXV: DM)
(
FSE: D4G) is pleased to introduce its leading
edge “Bot detector” and updates to its “Fake New Filter.” On
November 19, 2018 the Company announced that it had developed a
Fake News detection filter. Since then, the Company has been
improving the technology to specifications outlined by its client.
We are proud to announce that we are currently testing the product.
Key development improvements include:
Bot Detection – e.g. improvements
on industry standards for detecting fake accounts on social media
known as BOTS that propagate messages attempting to influence
public opinion. This is part of fake news detection as BOT activity
is often deceptive and negative towards opponents of the creators
of the BOT hordes, including malicious actors and foreign
interests. BOT detection is an important part of analyzing the
spread of fake news.
- Bot / Agency actor User Interface - depicting
within NexaIntelligence the BOT / Not-Bot scores referred to above,
as an overlay onto the Actor Interaction Map, so that a user of
NexaIntelligence can select and filter for the different types of
actors, showing BOTS at the flick of a switch. This technology is
useful for identifying artificial amplification of fake
news.
Agency detection - e.g. detection of whether a
social media account is a reliable or official source, versus an
ordinary person, or other organic organization. Our AI groups the
social media accounts into BOT / Not BOT - Official / Non-official
categories by applying an automated analysis resulting in a score.
This is an important part of determining veracity versus fake
news.
- Bot / Agency matrix User Interface - depicting
within NexaIntelligence the AI scored groupings referred to above,
so that a user of NexaIntelligence can select and filter for the
different AI scores associated to different social media handles.
The result is a typology graph, that helps to identify the nature
of accounts on social media discussing a given topic, which is
useful for analyzing patterns of fake news.
The following three technologies; Topic, Viewpoint, and
Narrative identification track false narratives in the
discussions on social media for a region or in relation to an
event, such as an election. This is key to deception
detection and message shaping.
- Topic detection - ML and NLP based automatic
detection of topics within social media using unsupervised ML (AI).
This allows the system to automatically identify topics.
- Viewpoint clustering - ML and NLP based
automatic detection of viewpoints circulating within social media
using unsupervised ML (AI). This allows the system to automatically
identify viewpoints.
- Narrative identification - ML and NLP based
automatic detection of narratives circulating within social media
using unsupervised ML (AI). This allows the system to automatically
identify narratives circulating on social media.
- Topic / Viewpoint / Narrative User Interface -
The Topics are a subcategory of the Viewpoints, which are a
subcategory of the Narratives; these layers are automatically
detected and displayed so that a user of NexaIntelligence can
select and filter different summarized elements from the data
set.
“These technology developments are a major milestone for the
Company. Datametrex will be one of a select few AI companies that
can offer this type of analysis and detection for governments,
military, media, marketing and data collection agencies, and
corporations to identify and manage fake news. We will never be
able to prevent fake news and propaganda so having powerful tools
to identify and manage the narrative is key for all stakeholders,”
says Jeff Stevens, President and COO of the Company.
About Datametrex
Datametrex AI Limited is a technology focused
company with exposure to Artificial Intelligence and Machine
Learning through its wholly owned subsidiary, Nexalogy
(www.nexalogy.com) and Implementing Blockchain technology for
secure Data Transfers through its investee company, Graph
Blockchain (www.graphblockchain.com).
For further information, please
contact:
Jeff Stevens- President & COOPhone: (416) 482-3282Email:
jstevens@datametrex.com
Forward-Looking Statements
This news release contains “forward-looking
information” within the meaning of applicable securities
laws. All statements contained herein that are not clearly
historical in nature may constitute forward-looking information. In
some cases, forward-looking information can be identified by words
or phrases such as “may”, “will”, “expect”, “likely”, “should”,
“would”, “plan”, “anticipate”, “intend”, “potential”, “proposed”,
“estimate”, “believe” or the negative of these terms, or other
similar words, expressions and grammatical variations thereof, or
statements that certain events or conditions “may” or “will”
happen, or by discussions of strategy.
Readers are cautioned to consider these and
other factors, uncertainties and potential events carefully and not
to put undue reliance on forward-looking information. The
forward-looking information contained herein is made as of the date
of this press release and is based on the beliefs, estimates,
expectations and opinions of management on the date such
forward-looking information is made. The Company undertakes no
obligation to update or revise any forward-looking information,
whether as a result of new information, estimates or opinions,
future events or results or otherwise or to explain any material
difference between subsequent actual events and such
forward-looking information, except as required by applicable
law.
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