Posts tagged with "artificial intelligence"

Eight Ways AI Is Empowering Workplaces

The future is coming and the current world is changing to keep up with it. Artificial Intelligence (AI) refers to highly developed systems that can be programmed to do something – which is perfect for the working world. AI can be used for recreational activities, but it can also help out tremendously in the workplace.

As AI becomes more attainable for more businesses, the workforce is bound to see some growth and feel empowered thanks to the capabilities of these machines and programs.

1. Solutions for Monotony

Many jobs involving physical labor could be considered monotonous or mundane. They don’t challenge people’s brains, and many workers may risk hurting themselves to do their jobs correctly.

To protect human lives from becoming endangered, AI can be programmed to take care of much of the simple physical labor that workers currently do. AI can streamline labor-intensive jobs like packing boxes and loading trucks.

While this occurrence might sound like it leaves people out of jobs, it does quite the opposite – it lifts those employees up. They are now free to complete higher-priority tasks, and they may even find a job supervising the robots that do all the heavy lifting for them.

2. Create More Jobs

With AI to do easy jobs, the need for middle management is shrinking. Even though it sounds bleak, the presence of AI actually creates more jobs. Entry-level skilled workers can retain more autonomy over their actions and job descriptions.

Because AI can make predictions and decisions based on small things, entry-level workers can be given more thought-provoking tasks. These jobs will allow them to perform tasks that mean something to them rather than do something that doesn’t require much attention or effort. It might also mean higher base pay for those in entry-level positions.

3. Streamlined Scheduling

AI can help with scheduling purposes in the workplace. Without having to worry about fitting things into their schedules, employees can go about their day and simply follow what tasks have been given to them.

Employees can save up to five hours of busywork just by handing their scheduling off to artificial intelligence. With this form of streamlined scheduling, employees can feel at ease and always know what to do next. All they need to do is check their schedule – and if there’s an issue with anything the AI has created, they can always adjust it manually.

4. Hiring Process

AI can also speed up the hiring process. What may have taken a long time in the past can be swift, thanks to the advancements of AI. For example, AI can sift through resumes and look for keywords or certain qualifications.

AI makes it so much easier to sort through resumes, and they can even send a quick rejection email to the applicants you decide not to move forward with. This streamlined hiring process can allow HR and other valued members of the workplace to focus on their other tasks rather than sorting through dozens of applicants when they only want to view the best.

5. Monitor Quality

AI can monitor the quality of conversations in your workplace on all levels. It can be tremendously helpful, thanks to automatic call recording and transcriptions. Your employees can learn more about what they’re doing right and what they need to change.

You can use these automated notes to help train both existing and future employees on new features and new tasks that they might need to get used to.

You can also use it to monitor the quality of a job your employees are doing. If one employee isn’t doing well, you might want to spend more time training them in a certain job area. Alternatively, you can switch one employee to a different progression path if they seem to be doing better elsewhere than their assigned tasks. All in all, it helps people grow in their careers.

6. Improved Training

AI can be trusted to train new recruits without leaving out any information or showing any biases. It’s an excellent replacement for human beings, who may make mistakes while teaching people.

With AI, you can choose to have each individual train at their own pace. Advanced AI may be able to detect where many trainees are falling short. From there, an AI program can better supplement new workers with additional material that can help them grasp certain concepts.

AI can also help in other areas than just the onboarding process. It can send someone information about a client before meeting with that client. For those working in sales or other fields where they need to speak up a lot, having an AI send them detailed info about the people they’re going to speak to can be a lifesaver. Eventually, employees will work past these difficulties and shine like they’re meant to.

7. Self-Service Channels

People are independent. They want to solve problems themselves if they can.

With that in mind, AI can be used as chatbots to help customers navigate through your website. While customer service is important, so is allowing your potential customers to make their own decisions. An estimated 90% of people value customer service from a brand.

Chatbots can give automatic responses that can either answer a person’s question or lead them to ask more intense questions. Then, your customer service support can jump in and talk to them. It’s great for your customer representatives, too – they can prioritize the people who have questions that aren’t easily answered on your website.

8. Work Processes Will Change

When AI is implemented at a grand scale, work processes are bound to change. It will be challenging to adjust to a new type of workflow at first, but in the long run, it could mean less work for people on every rung of the ladder.

Investing in AI allows you to fill in any gaps left behind when people are doing work for high-quality jobs. Employers should know exactly how things might change soon, and they can prepare their teams accordingly.

Travel illustration by Samantha Miduri for use by 360 Magazine

3 Ways Technology Will Change How We Book Travel

The travel and hospitality sectors are in the midst of a massive technological transformation that will affect how you book travel and stay at hotels moving forward. Tech savvy customers will come to expect the convenience that artificial intelligence brings. This vision is what I like to call ‘high-tech automation with high-touch personalization and customization.’

Here are three mega-trends leading the way toward realizing this vision:

Artificial Intelligence Will Personalize Your Travel Booking Experience 

Online travel agencies (i.e. Expedia, Booking, or my company HotelPlanner) are working toward becoming smarter, more seamless and more personalized and customized than ever before. Access to increasing amounts of data is transforming the customer experience for online booking, allowing for smarter search functionality and better tailored results for each unique customer.

As for the top customer concerns of price and flexibility, the solutions brought by AI can lead to enhanced hotel inventory connectivity to deliver better price accuracy and more real-time options to fit any budget.

For example, the hotel booking engines of the future will already know you want a hotel with a good gym or pool, that’s pet friendly or eco-friendly, or has some other amenity, feature, or price point that’s important to you.

Voice-Enabled Services Will Grow With the Rise of the ‘Internet of Things’

AI-driven advancements in natural language recognition are making voice search the industry’s next big trend. Voice activation will continue to expand with the rise of the Internet of Things and smart homes, smart cars and smart offices.

For example, at the height of the pandemic, my company launched what we believe is the next generation of call center customer service:  a 24/7 global gig-economy based call center connected to customers through AI-enabled VOIP. This voice-enabled technology allows us to connect the right customer with the right agent to provide personalized service, and to convert more sales of course.

And now you can even use Alexa to make a hotel reservation. (Give it a try and please email your feedback to feedback@hotelplanner.com).

Big Data & Predictive Analytics Will Know You Better Than You Know Yourself

Data is king, but only if you know how to interpret the data in real-time for ‘actionable intelligence’ as they say in the military. Travel technology firms and hotels will employ predictive data analytics and advanced machine learning solutions to anticipate and then deliver more bespoke services based on each customers’ unique needs and wants.

For example, at hotels this might include contactless check-ins, Alexa devices in your hotel room, or perhaps the hotel gym’s personal trainer offers you a free session since the hotel already knows that health & fitness is important to you.

For online travel agencies, they will focus on a more personalized user experience to engender your customer trust and loyalty. So when you go to search for a hotel, the site already knows exactly the type of hotel you want based on previous bookings or your unique digital footprint.

These are just a few examples of how technology is rapidly evolving to meet the current and future needs of travelers who are now expecting a more tech-savvy and personalized experience.

Written by John Price, Co-Found and CIO, HotelPlanner

 

John Price headshot via Christine Lenzo for use by 360 MAGAZINE
Sondra Perry photo via Travis Matthews for use by 360 MAGAZINE

ROLLS-ROYCE MUSE PROGRAMME

Lineage for a Phantom Zone marks an important milestone in Rolls-Royce’s creative history. The newly commissioned work by artist Sondra Perry, sees Muse, the Rolls-Royce Art Programme’s inaugural award, the Dream Commission, come to fruition. Initiated to advance the medium of moving image art, the Dream Commission has consisted of a two-year process during which leading lights of the artistic world selected Sondra Perry to create an entirely new work. I am pleased to confirm this work will be shown at the prestigious Fondation Beyeler in Switzerland, before travelling to Serpentine, London. On behalf of Rolls-Royce, I congratulate Sondra Perry on this exciting commission, and we look forward to sharing her installation this year.”

Chief Executive Officer of Rolls-Royce Motor Cars, Torsten Müller-Ötvös.

American artist Sondra Perry joins forces with the Rolls-Royce Art Programme Muse to produce the immersive experience known as Lineage for a Phantom Zone. The program was shaped in support of the Dream Commission, and will open for one full month from February 13 to March 13 at Foundation Beyeler, Switzerland.

One of the most powerful mediums in art today is moving image art. This new program promises to embrace and highlight nothing but that, with film, animation, artificial intelligence and virtual reality pieces incorporated throughout the course. The emergence of social media combined with the affects of the COVID-19 pandemic have altered our world as we knew it, pushing for the rise of the digital age.

In support of the Dream Commission, Rolls-Royce aims to back developing artists in the field of art creation. The establishment of this new platform of moving image artwork expands the realm that we previously knew. With constant visualization of revolutionizing technical and conceptual boundaries, Rolls-Royce fulfills this through their exploration in cooperation with the Dream Commission.

May 2021 Dream Commission winner Sondra Perry works as a moving medium artist specializing in pieces relating to the topics of race, identity and technology. Perry received this honor out of a limited four differing artists in the same field, chosen by a Jury of modern-day art figures. Lineage for a Phantom Zone navigates through Perry’s journey of life highlighting the importance of dreaming. The philosophies of memory, lineage and longing are touched as well, explored through sensory elements that induce the physical, emotional and mental feelings of dreaming.

The 2022 inaugural Dream Commission was made possible through cooperation with Fondation Beyeler, Basel and Serpentine, London.

Explore Dream Commission content HERE.

Illustration by Alex Bogdan for use of 360 Magazine

Banner Public Affairs Launches New Artificial Intelligence Tool

Banner Public Affairs is excited to announce the launch of BannerAI – a new artificial intelligence platform that further amplifies Banner’s ability to pair the right reporters with the right story, amongst other expanded capabilities. Custom-built to meet our client’s needs, our tool combines IBM Watson and AI Natural Language Processing to analyze a database of thousands of articles from key reporters and news outlets. From showcasing top keywords and concepts to identifying article sentiment, BannerAI helps our professionals pinpoint emerging trends within industries, select the right reporters to pitch, and uncover the best language to use in pitching reporters. The tool can find clear connections between keywords, outlet, title and reporter – giving next-level insights with 100% confidence. Through artificial intelligence and data analytics, our PR experts can discover prominent insights and recommendations for clients – keeping them one step ahead of their competition.

From showcasing top keywords and concepts to identifying article sentiment, BannerAI helps our professionals pinpoint emerging trends within industries, select the right reporters to pitch, and uncover the best language to use in pitching reporters. The tool can find clear connections between keywords, outlet, title and reporter – giving next-level insights with 100% confidence. Through artificial intelligence and data analytics, our PR experts can discover prominent insights and recommendations for clients – keeping them one step ahead of their competition.

“The combination of Artificial Intelligence blended with our public relations experts takes Banner Public Affairs to the next level,” wrote Brett Thompson, one of the firm’s partners. “By analyzing thousands of stories and providing actionable data, the AI tool allows our PR professionals to find the perfect reporters and outlets to cover our clients’ stories.”

About Banner Public Affairs

Banner Public Affairs executes winning strategies to achieve the unexpected and avoid the predictable. Our bipartisan team of experienced lobbying, public relations, and digital professionals provides best-in-class counsel and executes long-term growth strategies with a short-term hustle, problem-solving mindset. With a track record of victories, Banner is a natural and sought-after partner for the big moments. Banner is headquartered in Washington, D.C. and has offices in St. Louis, Denver, San Francisco and Los Angeles.

M F Husain illustration by Heather Skovlund for 360 Magazine

Conversation with M F Husain

India’s Newest Museum Allows Conversation With A Dead Artist Via AI

The Museum of Art and Photography and Accenture Labs have collaborated to create India’s first conversational digital persona of the celebrated artist, M F Husain. This unique digital experience was created during Covid 19 lockdowns as a way to feel engaged while experiencing art. 

Husain’s persona gives a glimpse into the life and work of one of India’s most compelling artists. Viewers can simply ask Husain’s digital twin a question regarding his early life, family or career to receive a simulated response from him. While Husain’s voice has been digitally created using speech synthesis software, the questions and answers have been prepared through extensive research on the artist. 

The experience will also be available on web and mobile platforms and as a 3D hologram at the Museum’s physical space which is set to open in December 2021.

To speak with M.F. Husain’s AI counterpart, click here.

For more information, click here.

More about The Museum of Art and Photography:

MAP connects India’s past, present, and future by showcasing historical artifacts alongside modern and contemporary works, folk art, textiles, painting, sculpture and photography. The MAP collection currently has more than 18,000 works ranging from the 12th Century to the present day.

Do you need a sports tipster?

Why do your sure bets keep losing? Many sports bettors constantly grumble that they don’t find as much luck as they expected. How many times have you wagered on a ‘strong’ bet only for the team to lose? There is a lot that goes to winning a game. The players could be fatigued or they could quarrel with the coach. This inside information is what a tipster offers. 

There are many sites with eSports betting and lucrative odds, but developing a winning strategy proves to be a different ballgame. A losing streak can be very discouraging if you are new to sports betting. Can a tipster service change your fortunes and put you on a winning streak? Maybe so. There are many tipster services offering improved winning rates. Do you need their services? 

Tipsters Have Deep Game Insight 

Tipsters are bettors with deep experience in the sport, leagues and teams they study. They have spent a long time studying games and have deep insights and inside information. A professional tipster has all the valuable information at their fingertips. They know what team is strong in the first half or second half. They know how teams perform historically against each other. 

A good tipster can tell when a team is priced appropriately, underpriced, or overpriced. They can compare the odds against different strengths and weaknesses they have sniffed about the team.  

Tipsters Supplement Betting Apps

There are many betting apps and software analysis tools which have made sports analysis very easy. They use Artificial Intelligence for statistical analysis into huge volumes of historical data. These apps have made sports betting easy, even for novices. 

The disadvantage with these apps is that they cannot make the deductions that a human can. For example, they cannot tell that a coach has a bad relationship with his players, or that a new player is having difficulties adapting.

A tipster is useful for supplementing what you see on sports betting prediction apps. Combining the two sources will give a richer data set to help you make a betting decision from an informed point. 

Tipsters Balance Out Your Views 

In sports betting, you will often have a nagging doubt at the back of the mind. Is this the right call? Is this the right betting option or do I pick another? It is normal to have self-doubts when you are new to sports betting, or when you have suffered a string of losses. You could make the right call but lose an opportunity because of self-doubts. 

A tipster is useful for comparisons. What are his recommendations and views against yours? These comparisons are very useful in identifying the weaknesses of your analysis. You become better at sports analysis and improve your betting skills in the long run. 

Tipsters Can Improve Your Profits 

A tipster can be of help in finding quicker financial success in sports betting. The truth is that a good tipster will make more correct calls than you can. You will have a higher win rate and build up your bankroll quicker. 

How to Identify a Good Tipster 

Stay away from tipsters who promise ‘fixed matches.’ The only way to pick a good tipster is by doing a good review of a tipster’s past performance. There are several sites for reviewing tipsters, where you can also find out about the reputation of a tipster. Any credible tipster will give you a trial period to help you assess his performance. Start with several trials and compare performances to pick the best. 

A good tipster can boost your wins and change your betting fortunes, even if you don’t find overnight success. You can use these services to enrich your sports analysis skills and turn into an expert relying on your own tips. 

Andrew Exner, a graduate research assistant in Purdue’s Motor Speech Lab, is working to help Parkinson’s patients during the COVID-19 pandemic as announced by 360 MAGAZINE.

AI Technology Helps Parkinson’s Patients During COVID-19

The COVID-19 pandemic is leading a Purdue University innovator to make changes as she works to provide new options for people with Parkinson’s disease.

Jessica Huber, a professor of Speech, Language, and Hearing Sciences and associate dean for research in Purdue’s College of Health and Human Sciences, leads Purdue’s Motor Speech Lab. Huber and her team are now doing virtual studies to evaluate speech disorders related to Parkinson’s using artificial intelligence technology platforms.

Huber and her team have been working to develop telepractice tools for the assessment and treatment of speech impairments like Parkinson’s disease. They received a National Institutes of Health small business innovation and research grant to develop a telehealth platform to facilitate the provision of speech treatment with the SpeechVive device, which has received attention at the Annual Convention of the American Speech-Language-Hearing Association.

In the current study, Huber and her team are collaborating with a startup company, Modality AI, which developed the AI platform that will be used in the study.

“The application of the technology we are evaluating may lead to far-reaching insights into more standardization in assessments, earlier diagnoses and possibly an easier way to track discrete changes over time to guide interventions,” said Andrew Exner, a graduate research assistant in the Motor Speech Lab. “My personal research passion, and the mission of our lab, is to find ways to improve the quality of life for people with Parkinson’s and other related diseases.”

Exner is leading the virtual study for participants across the country to evaluate an AI platform that can collect and automatically measure the speech skills of people with Parkinson’s disease. The need for AI platforms is increasing as the use of telepractice explodes as a result of the COVID-19 pandemic.

“My interest in speech-language pathology actually started during my training as an actor and opera singer,” Exner said. “I saw the effects of pathology on the voice and wanted to extend that interest into speech disorders.”

SpeechVive Inc. is an Indiana startup company based on Huber’s research. The company has developed a wearable medical device to improve the speech clarity of people with Parkinson’s.

Anyone interested in learning more about the virtual studies or taking part, can email Exner at exner@purdue.edu.

Image courtesy of Purdue University.

for use by 360

Global AI Spending to surge by 120% and hit $110bn by 2024

By Jastra Kranjec

Recent years have witnessed a swell in the adoption of artificial intelligence solutions, revolutionizing industries, and helping businesses boost growth. The rising volume and complexity of business data are set to continue driving AI adoption in the following years, causing a surge in global AI spending.

According to data presented by BuyShares.co.nz, global artificial intelligence spending is expected to surge by 120% and hit $110bn by 2024.

Global AI Spending Jumped 33% YoY, Despite COVID-19 Crisis

Businesses across the world use AI technology to be innovative and scalable. Using automation, deep learning, and natural language processing can improve their decision-making, efficiency, speed, and help predict trends.

In 2015, companies and organizations worldwide spent $5bn on implementing AI systems in their business, revealed the IDC 2020 Worldwide Artificial Intelligence Systems Spending Guide. In the next three years, this figure jumped five times to $25bn. Statistics show that 2019 witnessed a $37.5bn worth of investments into AI business solutions, a 650% jump in four years.

Increased investments in AI technology continued in 2020, with organizations expected to invest $50.1bn in AI systems, despite the COVID-19 crisis. The following years are set to witness remarkable growth in global AI spending, with the figure surging by almost 120% to $110bn by 2023. 

Automated customer service, sales process automation, automated threat intelligence and prevention, and IT automation were the leading use cases for AI in 2020, accounting for nearly a third of total AI spending this year. However, the IDC data show that automated human resources, IT automation and pharmaceutical research and discovery are the fastest-growing use cases.

Life Sciences and Retail Lead in Adoption of AI

The IDC data indicate the retail industry and the banking sector are expected to spend the most on AI solutions in 2020. The retail companies primarily focused their AI investments on improving customer experience via chatbots and recommendation engines. Banks are expected to keep investing in AI-driven fraud prevention and program advisors. Discrete manufacturing, process manufacturing, and healthcare round out the top five industries for AI spending this year.

The life sciences sector, including biotech, pharma and biomedical companies, has the most significant share of organizations that have adopted AI, revealed the Capgemini`s AI-Powered Enterprise survey.

Statistics show that 67% of organizations operating in this market adopted AI at scale, while another 33% launched AI pilots that are still undeployed in production. The retail industry ranked second, with 51% of companies utilizing artificial intelligence technology. The consumer products sector follows with a 44% share.

The Capgemini data show the automotive industry represents the fourth-leading sector, with 17% of companies successfully using AI in production. Another 49% of automotive companies have deployed a few use cases in production on a limited scale. The telecom industry follows, with a 14% and 57% share, respectively.

The full story can be read here: https://buyshares.co.nz/2020/10/20/global-artificial-intelligence-spending-to-surge-by-120-and-hit-110bn-by-2024/

AI brain chip illustration by UMD featured in 360 MAGAZINE.

UMD iSchool to Investigate AI Tech for Intelligence Analysts

University of Maryland College of Information Studies (UMD iSchool) researchers, led by principal investigator Dr. Susannah Paletz, have been awarded a three-year $616,700 grant funded by the Army Research Office (ARO). ARO Program Manager Dr. Edward Palazzolo overseas it. This project examines how teams of intelligence analysts can work together and with artificial intelligence (AI). AI has the potential to support intelligence analysts in reviewing potentially hundreds of thousands of source documents, pulling out key findings, and assembling them into actionable intelligence. AI can also aid in the flow of information and projects among members of the intelligence team, improving the efficiency and accuracy of their work.

“AI-driven technology has sometimes been touted as a replacement for human intelligence,” said Dr. Adam Porter, the project’s co-principal investigator, professor at the UMD Department of Computer Science, and Executive and Scientific Director of the Fraunhofer USA Center for Experimental Software Engineering (CESE). “In practice, however, AI doesn’t always work, or gives limited or biased answers. Human oversight is still required, and it’s therefore critical that we deeply understand how humans and AI can work best together.”

The Human-Agent Teaming on Intelligence Tasks project coordinated through the iSchool will focus on two particular research areas; 1.) how interactive AI agents, such as chatbots, have the ability to mitigate or exacerbate the communication and coordination problems that can occur with shift handovers of intelligence work, such as inaccuracy blindness and overlooking potentially relevant information, and 2.) examining how humans could potentially deal with these blind spots, biases, or inaccuracies.

The Experiment

The research team plans to develop an experimental infrastructure to help test team cognition challenges within the work completed by intelligence analysts consisting of task-relevant input materials, such as mission descriptions and source documents, activity recording tools, experimental monitoring capabilities, and different AI supports for human analysts, such as chatbots offering advice on a particular task.

“We want to develop a task that can raise the problems with asynchronous team cognition in intelligence tasks, but is simple enough to be used by research participants with minimal training,” said Dr. Susannah B.F. Paletz, research professor at the UMD iSchool, and affiliate at the UMD Applied Research Laboratory for Intelligence and Security (ARLIS).

This task will substantially increase insight into the strengths and weaknesses of AI technology to support intelligence task. In addition, it will help shed light on how and when human analysts can safely place their trust in AI technology. Also, how they can proactively identify problems in AI-generated input. It will also aid teams of humans, including asynchronous teams, working together in situations that include AI-generated input.

“This basic research is an important step in the early process of learning how humans and agents can collaboratively become a single team with considerably greater capacity and productivity than human only teams,” Palazzolo said. “Moreover, this research has broad implications into the work of many teams focused on knowledge work and information management such as medical teams involved in shift work, collaborative software development teams, and research teams.”

Collaborators

In addition to Porter, the Fraunhofer USA team also includes Dr. Madeline Diep, Senior Scientist, and Jeronimo Cox, Software Developer, at Fraunhofer USA CESE. The Fraunhofer USA team will lead the effort to create configurable AI agents used in the experimental tasks. Also, it will create a data collection and analysis infrastructure for capturing and understanding participant behaviors.

The UMD iSchool team includes graduate students Tammie Nelson, a fourth year PhD student, Melissa Carraway, incoming first year PhD student, and Sarah Valhkamp, incoming first year PhD, in Information Science.

The grant proposal team includes UMD Office of Research Administration Contract Manager, Stephanie Swann; iSchool Business Manager, Jacqueline Armstrong. Also, former iSchool Business Manager, Lisa Geraghty.

Outside of UMD, Dr. Aimee Kane, the Harry W. Witt Faculty Fellow and an Associate Professor of Management in the Palumbo-Donahue School of Business at Duquesne University, will be a consultant and an intellectual contributor on this project.

ARO is an element of the U.S. Army Combat Capabilities Development Command’s (CCDC) Army Research Laboratory. The Human-Agent Teaming on Intelligence Tasks project (grant no. W911NF-20-1-0214) runs through June 30, 2023.

About the University of Maryland College of Information Studies

Founded in 1965 and located just outside of Washington, D.C., the University of Maryland College of Information Studies (UMD iSchool) is top-ten ranked research and teaching college in the field of information science. UMD iSchool faculty, staff, and students are expanding the frontiers of how people access and use information and technology in an evolving world – in government, education, business, social media, and more. The UMD iSchool is committed to using information and technology to empower individuals and communities, create opportunities, ensure equity and justice, and champion diversity.

For more information click here.

Combating False COVID-19 Information

Fake news websites could be identified by the partners that provide their video streaming and advertising, research shows.

The new approach could help search engines and social media giants, such as Facebook and Twitter, to flag untrustworthy articles more rapidly and prevent their misleading content going viral.

Fake news stories and conspiracy theories have proliferated online during the coronavirus pandemic, from alleged cures to claims the virus is caused by 5G technology.

Ram Gopal, Professor of Information Systems Management at Warwick Business School, said:

“The US Presidential Elections in 2016 highlighted the significant harm that fake news can do, potentially impacting election outcomes and undermining democratic institutions.

“These concerns have multiplied during the coronavirus pandemic and fake news has resulted in an untold number of deaths from misleading and harmful information.

“It is vital that we use all the tools at our disposal to combat the spread of fake news and the huge damage it does.”

Flagging fake news stories typically involves humans or Artificial Intelligence (AI) scanning individual articles for misleading information.

This is difficult as articles can be quickly changed to defeat the algorithms designed to catch them.

Now researchers at Warwick Business School have found fake news and clickbait websites tend to use the same supply chain partners to provide key components, such as advertising platforms.

While fake news websites can disguise their text and images to appear real, they cannot conceal which partners they use, as these can be easily identified using browsing tools.

Professor Gopal said: “Trying to identify fake news articles is a cat and mouse game, because the content can be quickly changed to defeat the algorithms searching for them.

“To detect fake news effectively we need strong markers that are difficult to hide or fudge.

“A website’s choice of third-party partners exposes the essence of what the website does and how it achieves that. A tiger cannot hide its stripes.”

The researchers compared more than 450 top news websites, as listed by alexa.com, with 50 fake news websites and 50 clickbait sites identified by the Harvard University Library.

They identified 115 significant third parties that were only used by trustworthy sites and seven that were only used by untrustworthy platforms. These markers helped identify untrustworthy websites more rapidly and efficiently, with an accuracy of 94%.

The findings were published in the paper, Real or not? Identifying untrustworthy news websites using third-party partnerships, in the journal ACM Transactions on Management Information Systems.

Professor Gopal said: “It is not a case of these markers replacing traditional content analysis. The two approaches can complement each other.

“Content can be scrutinised more closely, with a lower threshold for action, if it originates from a website that our markers classify as illegitimate.  Integrating the two approaches could result in more accurate and more robust detection mechanisms.”