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‘Fake news’ increases consumer demands for corporate action – SPONSOR: Datametrex AI Limited $DM.ca

Posted by AGORACOM-JC at 5:20 PM on Wednesday, April 8th, 2020

SPONSOR: Datametrex AI Limited (TSX-V: DM) A revenue generating small cap A.I. company that NATO and Canadian Defence are using to fight fake news & social media threats. The company is working with US Government agencies on Covid19 and Coronavirus fake news and disinformation Click here for more info.

‘Fake news’ increases consumer demands for corporate action

  • “The strongest finding was that consumers expect corporations to take responsibility for combating fake news, even if the company in question was a victim of the fake news story,” Cheng says.
  • “Anyone can spread fake news on social media, and the expectation from consumers is that affected companies should play an active role in addressing it.”

by Matt Shipman, North Carolina State University

New research finds that “fake news” inspires consumers to demand corrective action from companies—even if the company is a victim of the fake news story. The study also supports the idea that most people feel they are better at detecting fake news than other people are—and found that fake news increases calls for improved digital media literacy.

“The idea that I am less influenced by fake news than you are is an example of something called the third-person effect,” says Yang Cheng, first author of the study and an assistant professor of communication at North Carolina State University.

“The third-person effect predicts that people tend to perceive that mass media messages have a greater effect on others than on themselves, and we found that this effect is pronounced among consumers who use social media. We also found that the third-person effect plays a significant role in how people respond to fake news online.”

For this study, the researchers enlisted 661 study participants from across the United States who identified as being Coca-Cola consumers. The researchers first gave the participants an example of a fake news story that circulated in Facebook in 2016, which (falsely) claimed that Coca-Cola had recalled bottles of its Dasani-brand water due to the presence of aquatic parasites. The researchers then asked study participants a range of questions designed to ascertain how the participants felt about fake news and what they felt should be done to address it.

“The strongest finding was that consumers expect corporations to take responsibility for combating fake news, even if the company in question was a victim of the fake news story,” Cheng says. “This is news that public relations professionals can use. It highlights the need for communication professionals to step up and take an active role in responding to fake news items. That could mean collaborating with reporters to provide them with accurate information, or making correct information directly available to the public, or both. But it suggests that simply being quiet and waiting for the crisis to blow over may be unwise.

“Anyone can spread fake news on social media, and the expectation from consumers is that affected companies should play an active role in addressing it.”

The study also found that consumers wanted more to be done to improve media literacy, and that media users should be taught how to evaluate media critically.

The researchers also found that the most powerful factor in triggering these responses from consumers appeared to be the third-party effect. In other words, the people who were most confident in their ability to detect fake news felt most strongly that other people would be influenced by fake news. And highly-confident consumers were the most likely to call for corrective action from corporations and improved media literacy efforts.

“This is an observational study, not an experimental one, so we cannot establish causal relationships,” Cheng says. “But the demand for corporate action is clear—and it is most strongly correlated with the third-person effect.”

Source: https://phys.org/news/2020-04-fake-news-consumer-demands-corporate.html

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Microsoft $MSFT claims its #AI framework spots fake news better than state-of-the-art baselines – SPONSOR: Datametrex AI Limited $DM.ca

Posted by AGORACOM-JC at 5:09 PM on Tuesday, April 7th, 2020

SPONSOR: Datametrex AI Limited (TSX-V: DM) A revenue generating small cap A.I. company that NATO and Canadian Defence are using to fight fake news & social media threats. The company is working with US Government agencies on Covid19 and Coronavirus fake news and disinformation Click here for more info.

Microsoft claims its AI framework spots fake news better than state-of-the-art baselines

  • If the system’s accuracy is as claimed and it makes its way into production, it could help combat the spread of false and misleading information about U.S. presidential candidates and other controversial topics
  • A survey conducted in 2018 by the Brookings Institute found that 57% of U.S. adults saw fake news during the 2018 elections and that 19% believe it influenced their vote

Kyle Wiggers

In a study published this week on the preprint server Arxiv.org, Microsoft and Arizona State University researchers propose an AI framework — Multiple sources of Weak Social Supervision (MWSS) — that leverages engagement and social media signals to detect fake news. They say that after training and testing the model on a real-world data set, it outperforms a number of state-of-the-art baselines for early fake news detection.

If the system’s accuracy is as claimed and it makes its way into production, it could help combat the spread of false and misleading information about U.S. presidential candidates and other controversial topics. A survey conducted in 2018 by the Brookings Institute found that 57% of U.S. adults saw fake news during the 2018 elections and that 19% believe it influenced their vote.

Many fake news classifiers in the academic literature rely on signals that require a long time to aggregate, making them unsuitable for early detection, the paper’s coauthors explain. Moreover, some rely solely on signals that are easily influenced by biased or inauthentic user feedback.

In contrast, the researchers’ system employs supervision from multiple sources involving users and their respective social engagements. Specifically, it taps a small amount of manually annotated data and a large amount of weakly annotated data — i.e., data with a lot of noise — for joint training in a meta-learning AI framework.

A module dubbed label weighting network (LWN) models the weight of the weak labels that regulate the learning process of the fake news classifier, taking what the researchers refer to as an instance — for example, a news piece — and its label as input. It outputs a value representing the importance weight for the pair, which determines the influence of the instance in training the fake news classifier. To allow information sharing among different weak signals, a shared feature extractor works alongside the LWN to learn a common representation and to use functions to map features to different weak label sources.

Above: Graphs comparing the performance of Microsoft’s AI with various baseline models.

The Microsoft researchers tapped the open source FakeNewsNet data set to benchmark their system, which contains news content (including meta attributes like body text) with labels annotated by experts from the fact-checking websites GossipCop and PolitiFact, along with social context information such as tweets about news articles. They enhanced it with a corpus of 13 sources, including mainstream British news outlets, such as the BBC and Sky News, and English-language versions of Russian news outlets like RT and Sputnik, with content mostly related to politics.

To generate weak labels, the researchers measured the sentiment scores for users sharing pieces of news and then determined the variance between those scores, such that articles for which the sentiments widely varied were labeled as fake. They also produced sets of people with known public biases and calculated scores based on how closely a user’s interests matched with those sets, operating on the theory that news shared by biased users was more likely to be fake. Lastly, they measured credibility by clustering users based on their meta-information on social media so that users who formed big clusters (which might indicate a bot network or malicious campaign) were considered less credible.

In tests, the researchers say the best-performing model, which incorporated Facebook’s RoBERTA natural language processing algorithm and trained on a combination of clean and weak data, accurately detected fake news in GossipCop and PolitiFact 80% and 82% of the time, respectively. That’s upwards of 7 percentage points better than the baseline models.

The team plans to explore other techniques in future work, like label correction methods for obtaining high-quality weak labels. They also hope to extend their framework to consider other types of weak supervision signals from social networks, leveraging the timestamps of engagements.

These researchers aren’t the only ones attempting to combat the spread of fake news with AI, of course. In a recent study, MIT’s Computer Science and Artificial Intelligence Laboratory developed an AI system to spot misleading news articles. Jigsaw late last year released Assembler, an AI-powered suite of fake news-spotting tools for media organizations. AdVerif.ai, a software-as-a-service platform that launched in beta last year, parses articles for misinformation, nudity, malware, and other problematic content and cross-references a regularly updated database of thousands of fake and legitimate news items. For its part, Facebook has experimented with deploying AI tools that “identify accounts and false news.”

Source: https://venturebeat.com/2020/04/07/microsoft-ai-fake-news-better-than-state-of-the-art-baselines/

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Datametrex $DM.ca Co-Bid With #Lotte To The Ministry of Health Surrounding #Covid19

Posted by AGORACOM-JC at 7:30 AM on Monday, April 6th, 2020
  • Established a join venture (JV) with LOTTE to co-bid on contracts with the Ministry of Health in South Korea
  • This is to improve accuracy and transparency in the middle of COVID-19 catastrophe on media, social media, and various other data sources

TORONTO, April 06, 2020 — Datametrex AI Limited (the “Company” or “Datametrex”) is pleased to announce that it has established a join venture (JV) with LOTTE to co-bid on contracts with the Ministry of Health in South Korea. This is to improve accuracy and transparency in the middle of COVID-19 catastrophe on media, social media, and various other data sources.

On April 2, 2020, Datametrex announced that it was awarded preferred vendor status with LOTTE. One of the many benefits of being a preferred vendor is the opportunity to create JV’s and co-bid on contracts with LOTTE’s support. Datametrex and LOTTE recently agreed to create a JV using its AI and other relevant technologies to improve the accuracy and transparency of data which includes ability to filter disinformation for the Ministry of Health Department in South Korea. This opportunity was initiated due to the Coronavirus and COVID-19 catastrophe. South Korea’s health department has been the leader in screening and flattening the curve and is a role model for other countries on how to manage the COVID-19 pandemic.

The Company was successful in pitching the opportunity and create a JV with LOTTE largely due to the work it has done for the US Federal Government on COVID-19 and Coronavirus.   Datametrex released a report on April 1, 2020 which clearly identified Chinese authorities manipulating social media surrounding Coronavirus and COVID-19. Their intent was to sway public opinion to negatively impact the United States Government and President Trump while positively impacting China and President Xi.

Please click the link below to view the report:

http://datametrex.com/investor/covid19-report.html

“I am thrilled to share this update with shareholders, our team has done a fantastic job fast tracking with LOTTE. The work we have done this past year training our technology in various languages such as Korean, Chinese, French, and Russian is really starting to pay off,” says Marshall Gunter, CEO of the Company

About Datametrex AI Limited

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).
Additional information on Datametrex is available at: www.datametrex.com

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]

Jeff Stevens- Co-Founder
Phone: (647) 400-8494
Email: [email protected]

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

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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Social Media Is Full of Bots Spreading #COVID19 Anxiety. Don’t Fall For It – SPONSOR: Datametrex AI Limited $DM.ca

Posted by AGORACOM-JC at 3:52 PM on Friday, April 3rd, 2020

SPONSOR: Datametrex AI Limited (TSX-V: DM) A revenue generating small cap A.I. company that NATO and Canadian Defence are using to fight fake news & social media threats. The company is working with US Government agencies on Covid19 and Coronavirus fake news and disinformation Click here for more info.

Social Media Is Full of Bots Spreading COVID-19 Anxiety. Don’t Fall For It

  • COVID-19 is being described as the first major pandemic of the social media age.
  • In troubling times, social media helps distribute vital knowledge to the masses.
  • Unfortunately, this comes with myriad misinformation, much of which is spread through social media bots.

These fake accounts are common on Twitter, Facebook, and Instagram. They have one goal: to spread fear and fake news.

We witnessed this in the 2016 United States presidential elections, with arson rumours in the bushfire crisis, and we’re seeing it again in relation to the coronavirus pandemic.

Busy busting bots

The exact scale of misinformation is difficult to measure. But its global presence can be felt through snapshots of Twitter bot involvement in COVID-19-related hashtag activity.

Bot Sentinel is a website that uses machine learning to identify potential Twitter bots, using a score and rating. According to the site, on March 26 bot accounts were responsible for 828 counts of #coronavirus, 544 counts of #COVID19 and 255 counts of #Coronavirus hashtags within 24 hours.

These hashtags respectively took the 1st, 3rd and 7th positions of all top-trolled Twitter hashtags.

It’s important to note the actual number of coronavirus-related bot tweets are likely much higher, as Bot Sentinel only recognises hashtag terms (such as #coronavirus), and wouldn’t pick up on “coronavirus”, “COVID19” or “Coronavirus”.

How are bots created?

Bots are usually managed by automated programs called bot “campaigns”, and these are controlled by human users.

The actual process of creating such a campaign is relatively simple. There are several websites that teach people how to do this for “marketing” purposes. In the underground hacker economy on the dark web, such services are available for hire.

While it’s difficult to attribute bots to the humans controlling them, the purpose of bot campaigns is obvious: create social disorder by spreading misinformation. This can increase public anxiety, frustration and anger against authorities in certain situations.

A 2019 report published by researchers from the Oxford Internet Institute revealed a worrying trend in organised “social media manipulation by governments and political parties”. They reported:

Evidence of organised social media manipulation campaigns which have taken place in 70 countries, up from 48 countries in 2018 and 28 countries in 2017. In each country, there is at least one political party or government agency using social media to shape public attitudes domestically.

The modus operandi of bots

Typically, in the context of COVID-19 messages, bots would spread misinformation through two main techniques.

The first involves content creation, wherein bots start new posts with pictures that validate or mirror existing worldwide trends. Examples include pictures of shopping baskets filled with food, or hoarders emptying supermarket shelves. This generates anxiety and confirms what people are reading from other sources.

The second technique involves content augmentation. In this, bots latch onto official government feeds and news sites to sow discord. They retweet alarming tweets or add false comments and information in a bid to stoke fear and anger among users. It’s common to see bots talking about a “frustrating event”, or some social injustice faced by their “loved ones”.

The example below shows a Twitter post from Queensland Health’s official twitter page, followed by comments from accounts named “Sharon” and “Sara” which I have identified as bot accounts. Many real users reading Sara’s post would undoubtedly feel a sense of injustice on behalf of her “mum”.

The official tweet from Queensland Health and the bots’ responses.

While we can’t be 100 percent certain these are bot accounts, many factors point to this very likely being the case. Our ability to accurately identify bots will get better as machine learning algorithms in programs such as Bot Sentinel improve.

How to spot a bot

To learn the characteristics of a bot, let’s take a closer look Sharon’s and Sara’s accounts.

Screenshots of the accounts of ‘Sharon’ and ‘Sara’.

Both profiles lack human uniqueness, and display some telltale signs they may be bots:

  • they have no followers
  • they only recently joined Twitter
  • they have no last names, and have alphanumeric handles (such as Sara89629382)
  • they have only tweeted a few times
  • their posts have one theme: spreading alarmist comments
  • they mostly follow news sites, government authorities, or human users who are highly influential in a certain subject (in this case, virology and medicine).

My investigation into Sharon revealed the bot had attempted to exacerbate anger on a news article about the federal government’s coronavirus response.

The language: “Health can’t wait. Economic (sic) can” indicates a potentially non-native English speaker.

It seems Sharon was trying to stoke the flames of public anger by calling out “bad decisions”.

Looking through Sharon’s tweets, I discovered Sharon’s friend “Mel”, another bot with its own programmed agenda.

Bot ‘Mel’ spread false information about a possible delay in COVID-19 results, and retweeted hateful messages.

What was concerning was that a human user was engaging with Mel.

An account that seemed to belong to a real Twitter user began engaging with ‘Mel’.

You can help tackle misinformation

Currently, it’s simply too hard to attribute the true source of bot-driven misinformation campaigns. This can only be achieved with the full cooperation of social media companies.

The motives of a bot campaign can range from creating mischief to exercising geopolitical control. And some researchers still can’t agree on what exactly constitutes a “bot”.

But one thing is for sure: Australia needs to develop legislation and mechanisms to detect and stop these automated culprits. Organisations running legitimate social media campaigns should dedicate time to using a bot detection tool to weed out and report fake accounts.

And as a social media user in the age of the coronavirus, you can also help by reporting suspicious accounts. The last thing we need is malicious parties making an already worrying crisis worse.

Ryan Ko, Chair Professor and Director of Cyber Security, The University of Queensland.

Source: https://www.sciencealert.com/bots-are-causing-anxiety-by-spreading-coronavirus-misinformation

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Datametrex $DM.ca Builds Dashboard To Monitor Global Covid-19 Pandemic

Posted by AGORACOM-JC at 7:33 AM on Friday, April 3rd, 2020
  • Completed an interactive COVID-19 dashboard to help with the understanding of the danger of this virus, and to monitor the global impact of COVID-19
  • The dashboard was built to incorporate data that has been collected from various countries and organizations including World Health Organization

TORONTO, April 03, 2020 – Datametrex AI Limited (the “Company” or “Datametrex”) is pleased to announce that it has completed an interactive COVID-19 dashboard to help with the understanding of the danger of this virus, and to monitor the global impact of COVID-19. The dashboard was built to incorporate data that has been collected from various countries and organizations including World Health Organization (“WHO”). It is analyzed and presented in a user-friendly format which allows users to easily examine the spread of COVID-19 globally, by country or to compare various countries.

http://www.datametrex.com/covid-board.html

“As an AI company, we felt it important to provide access to a platform like this so people can see the real time effects of the COVID-19 pandemic. We’ve had a lot of interest from people looking for more data surrounding the Coronavirus and COVID-19 as a result of the work we are doing for the United States Government. It was from this that we decided to build a user friendly dashboard that allows people to see the global impact. We produce more than just reports,” says Marshall Gunter, CEO of the Company.

About Datametrex AI Limited

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).

Additional information on Datametrex is available at: www.datametrex.com

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

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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DATAMETREX $DM.ca CHOSEN AS PREFERRED VENDOR PARTNER BY #LOTTE

Posted by AGORACOM-JC at 7:38 AM on Thursday, April 2nd, 2020
  • LOTTE has chosen the Company to be one of its preferred vendor partners
  • Every year LOTTE chooses 10 of its top vendor companies to put on their preferred partners program
  • Vendors on this platform have demonstrated quality, reliability and trustworthiness.

TORONTO, April 02, 2020 — Datametrex AI Limited (the “Company” or “Datametrex”) is pleased to share that LOTTE has chosen the Company to be one of its preferred vendor partners.

Every year LOTTE chooses 10 of its top vendor companies to put on their preferred partners program. Vendors on this platform have demonstrated quality, reliability and trustworthiness. Once on this platform, a company can receive payments in full for contracts within two weeks of a purchase order. For companies that are part of the preferred vendor group, LOTTE has created a growth fund of approximately $200M USD. This fund is used to create joint venture (JV’s) companies with preferred vendors or to co-bid on contracts of significant size as a way to sponsor their preferred vendors.

In addition to creating JV’s, LOTTE also offers its preferred partners loans bearing minimal interest rates to support their growth. The current rate at approximately 3%. Datametrex is pleased to share that it is currently in the process of creating a JV with LOTTE for Government related contracts. As a direct benefit of Datametrex inclusion in this program, the Company is eligible to borrow up to $500,000 CAD per quarter.

“Being chosen to participate in the preferred vendor program with LOTTE is a validation of the quality of work our team is providing to LOTTE. It also assists greatly with cash flow and the fact that we can apply for such a low interest rate loan removes any financing risk for the Company,” says Marshall Gunter, CEO of the Company.

About Datametrex AI Limited

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).
Additional information on Datametrex is available at: www.datametrex.com

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

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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VIDEO: #Datametrex $DM.ca #AI Hired By US Government Agencies On #COVID19 / #Coronavirus Fake News and Disinformation

Posted by AGORACOM-JC at 5:13 PM on Wednesday, April 1st, 2020

When US Government Agencies call you in the middle of the greatest health and economic crisis in 100 years, it is safe to assume your Artificial Intelligence capabilities to detect fake news, disinformation campaigns and their impact is amongst the most respected in the world.  

You would expect such a company to be a tech giant or a Silicon Valley project.  But Datametrex AI (DM: TSXV) (Soon To Be Nexaology) is a great Canadian small cap technology company, that has also achieved the following as of late:

  • Q3 Revenues Of $1.6 million,  an increase of 186%
  • 9 Mont Revenues Of $2.56M an increase of 37%
  • Repeat Contracts Of $1M and $600,000 With Korean Giant LOTTE   
  • $954,000 Contract With Canadian Department of Defence To Fight Social Media Election Meddling
  • Participation In NATO Research Task Group On Social Media Threat Detection 
  • Becoming an affiliate member of the Carnegie Mellon University Center for IDeaS

When a small cap Artificial Intelligence company is successfully deploying its technology with military and conglomerates, smart investors have to take a closer look.  

That look can begin with our latest interview of Datametrex CEO, Marshall Gunter, who talks to us about the use of the Company’s Artificial Intelligence by US Government Agencies to detect misinformation campaigns against the United States by foreign entities.  

Watch this interview on one of your favourite screens or hit play and listen to the audio as you drive. 

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DATAMETREX $DM.ca IDENTIFIES CHINESE CAMPAIGNS TO MANIPULATE SOCIAL MEDIA SURROUNDING #COVID19

Posted by AGORACOM-JC at 7:29 AM on Wednesday, April 1st, 2020
  • Work done for the United States Government clearly identifies attempts by Chinese authorities to create a divide amongst Americans on how the administration and Trump are handling #COVID19
  • Report can be viewed here: http://datametrex.com/investor/covid19-report.html

TORONTO, April 01, 2020 — Datametrex AI Limited (the “Company” or “Datametrex”) is pleased to share a summary of the work done for the United States Government and a link to the report which clearly identifies attempts by Chinese authorities to create a divide amongst Americans on how the administration and Trump are handling #COVID19. This work was commissioned by an agency for the United States Government and involved collecting and analyzing a massive amount of social media data.  

Datametrex examined millions of social media documents over the last month tracking Chinese involvement in the online discussions surrounding the COVID-19 and coronavirus. Datametrex found significant attempts by both Chinese authorities and news agencies to manipulate the media and shift the blame for the COVID-19 outbreak to the United States. Additional attempts at media manipulation and narrative shaping included attempts to frame dialogue from US President Trump as racist and show the Trump administration as an impediment to the worldwide recovery from the pandemic while framing Chinese President Xi as a strong leader on the world stage.

“We are thrilled to be working with the US Government on this very serious topic, this report goes to show that social media warfare goes beyond attempts to tamper with elections as we clearly identified during the Canadian Federal Elections. The Company is open for business in the US and we look forward to working with more government agencies and corporate clients on disinformation, propaganda, fake news in social media,” says Marshall Gunter, CEO of the Company

Please click the link below to view the report:

http://datametrex.com/investor/covid19-report.html

About Datametrex AI Limited

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). Additional information on Datametrex is available at: www.datametrex.com

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

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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Datametrex $DM.ca Working With US Government Agencies on #Covid19 and #Coronavirus Fake News and Disinformation

Posted by AGORACOM-JC at 1:52 PM on Monday, March 30th, 2020
  • Currently working with various agencies within the United States Government on the mass amount of social media surrounding #coronavirus and #covid19
  • First contract with clients is a pilot for $25,000 USD
  • It was signed on March 12th, 2020 and has a duration of one month

TORONTO, March 30, 2020 — Datametrex AI Limited (the “Company” or “Datametrex”) is pleased to share that Company is currently working with various agencies within the United States Government on the mass amount of social media surrounding #coronavirus and #covid19. We will provide greater detail on the work we are doing once it is completed and our clients approve it for public dissemination. 

The Company wishes to provide further details to this release as requested by IIROC. This first contract with our clients is a pilot for $25,000 USD. It was signed on March 12th, 2020 and has a duration of one month. The clients contacted Datametrex after witnessing the technology at a NATO working group presentation highlighting Nexalogy’s work on #fakenews and #disinformation in the Canadian Federal Elections. This Pilot represents a major milestone for the Company as it is the natural progression to potentially expand into the US market, specifically the US Government.  

“We are thrilled to be working with the US Government on this very important issue. We recently completed work for Democracy Labs on #disinformation in social media regarding #covid19 and #Coronavirus and secured a relationship with Carnegie Mellon University IDeaS. Both announcements assisted in getting Nexalogy in front of the Government Agencies for this current opportunity in the United States. The solid foundation we have built over the past years with our Canadian Government clients like  DRDC, the Canadian Military and NATO have positioned Datametrex to be able to provide military grade solutions for todays social media challenges”, says Marshall Gunter CEO of Datametrex AI.

About Datametrex AI Limited

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).

Additional information on Datametrex is available at: www.datametrex.com

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

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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Posted in All Recent Posts, Datametrex AI Limited, Featured | Comments Off on Datametrex $DM.ca Working With US Government Agencies on #Covid19 and #Coronavirus Fake News and Disinformation

DATAMETREX #DM.ca WORKING WITH US GOVERNMENT AGENCIES ON #COVID19 AND #CORONAVIRUS

Posted by AGORACOM-JC at 7:23 AM on Monday, March 30th, 2020
  • Company is currently working with various agencies within the United States Government on the mass amount of social media surrounding #coronavirus and #covid19
  • “We are thrilled to be working with the US Government on this very important issue. We recently completed work for Democracy Labs on #disinformation in social media regarding #covid19 and #coronavirus and secured a relationship with Carnegie Mellon University IDeaS…”

TORONTO, March 30, 2020  — Datametrex AI Limited (the “Company” or “Datametrex”) is pleased to share that the Company is currently working with various agencies within the United States Government on the mass amount of social media surrounding #coronavirus and #covid19. We will provide greater detail on the work we are doing once it is completed and our clients approve it for public dissemination. 

“We are thrilled to be working with the US Government on this very important issue. We recently completed work for Democracy Labs on #disinformation in social media regarding #covid19 and #coronavirus and secured a relationship with Carnegie Mellon University IDeaS. Both announcements assisted in getting Nexalogy in front of the Government Agencies for this current opportunity in the United States. The solid foundation we have built over the past years with our Canadian Government clients like  DRDC, the Canadian Military and NATO have positioned Datametrex to be able to provide military grade solutions for todays social media challenges”, says Marshall Gunter CEO of Datametrex AI.

About Datametrex AI Limited

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).

Additional information on Datametrex is available at: www.datametrex.com

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

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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