Study: Political Campaigns Can Manipulate Elections With Fake News

In recent months the debate on the spread of fake news has become a topical issue and giants like Facebook and Google have been sharply criticized for their role in spreading false information around the world. The proliferation of false articles and unverified information are considered by many to be a significant feature of the last election campaign in the United States.

A new study by security firm Trend Micro shows that political campaigns can manipulate elections by spending $400,000 on fakes and fake items, according to a new report that analyzes the cost of influencing Public opinion through dissemination of disinformation. The study also found that it only costs $55,000 to discredit a journalist and $200,000 to provoke a protest in the street based on false information. Th

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In recent months the debate on the spread of fake news has become a topical issue and giants like Facebook and Google have been sharply criticized for their role in spreading false information around the world. The proliferation of false articles and unverified information are considered by many to be a significant feature of the last election campaign in the United States.

A new study by security firm Trend Micro shows that political campaigns can manipulate elections by spending $400,000 on fakes and fake items, according to a new report that analyzes the cost of influencing Public opinion through dissemination of disinformation. The study also found that it only costs $55,000 to discredit a journalist and $200,000 to provoke a protest in the street based on false information. These disturbing figures show how easy it is to make cyberpropaganda to have real-world results.

This study comes at a time of global concern around the piracy of elections and the different ways fake news on social networks have manipulated voters. The report explores clandestine online spots that allow campaigns, political parties, private companies and other entities to strategically create and disseminate false content to change public perceptions.

Analysis of the Chinese, Russian, English and Middle East fake news services found that these options offer a cost-effective alternative to traditional advertising and promotion efforts often use social networks to broadcast questionable content. Whether you’re in China, Russia, Europe or the US, it’s very easy to buy these services.

With targeted campaigns, false content can provoke protests. So, according to the study, campaigns can create and mount groups on social networks that discuss relevant ideologies for the cost of $40,000, wrote Trend Micro.

To maximize the scope of content, campaigns can spend $ 6,000 to have close to 40,000 I like (“likes”) of “high-quality”. In these fake news services, it will take 5000 dollars to have 20000 comments and 2700 dollars for a false report. Campaigns can go further by buying retweets and other promotional services like placement of videos on YouTube that help news to become viral.

The study noted that these campaigns rely on fake news shared as a reality to court the ideologies of the audience and give an illusion of the future, enough to force people to join a supposed cause.

Manipulating election results can also be relatively affordable for politicians and political parties, according to the report. A campaign manager can buy targeted news sites against $ 3,000 per site and then fill these sites with false information disguised as legitimate news. Maintaining these sites with false content costs $5,000 per month and social networking campaigns cost $3,000 more per month.

Buying rests and biased comments on these content can boost a campaign. Some of these networks also distribute legitimate information allowing sites to have a reputation and blur the boundary between what is propaganda and legitimate content. In total, the study found that an annual campaign of $400,000 must be able to decisively manipulate the course of an action.

A group that also wants to attack a journalist can easily mount a four-week fake news campaign. The weekly propaganda, coupled with 50,000 retweets and attracting 100,000 visits costs 2,700 dollars. In addition to discrediting the journalist, a more frightening consequence is how the report or points that the journalist wanted to raise will be engulfed in a wave of disinformation generated by the campaign, wrote Trend Micro.

Other impressive figures show that an account on social networks can become a celebrity in a month with 300,000 subscribers and for the cost of $2,600.

Given the effectiveness and low cost of these types of propaganda campaigns, some are afraid that they will become commonplace during elections. It is important that we put an end to these practices as quickly as possible before they become mainstream.

Following the debate on fake news and how they spread on social networks especially after the US presidential election, Facebook and Google have begun to develop tools to deal with misinformation.

With Artificial Intelligence, The Travel Industry Can Better Understand its Customers

If you have heard about artificial intelligence (AI) and are updated on recent developments, you may have heard of these terms: deep learning, algorithms, machine learning, etc. As we progress in the flowering of AI, Deep Learning is implemented in various industries and platforms, and we begin to see tangible applications in our daily lives.

It is a fact that the travel industry has much to improve: business travel can turn into nightmares easily, travelers are even more demanding when choosing their travel option and expect full-time care and support.

Artificial Intelligence is already common to most travelers in the form of computer helpers like Ok Google, Siri and Cortana, and technologies like this can respond to current problems.

The abundance of data that travel organizations have, including traveler profiles, action history, airline preferences, and hotels, make the business of the tourism easily appropriated to the AI. Companies such as <a href="https://www.poder.io/&quot;

If you have heard about artificial intelligence (AI) and are updated on recent developments, you may have heard of these terms: deep learning, algorithms, machine learning, etc. As we progress in the flowering of AI, Deep Learning is implemented in various industries and platforms, and we begin to see tangible applications in our daily lives.

It is a fact that the travel industry has much to improve: business travel can turn into nightmares easily, travelers are even more demanding when choosing their travel option and expect full-time care and support.

Artificial Intelligence is already common to most travelers in the form of computer helpers like Ok Google, Siri and Cortana, and technologies like this can respond to current problems.

The abundance of data that travel organizations have, including traveler profiles, action history, airline preferences, and hotels, make the business of the tourism easily appropriated to the AI. Companies such as Poder.IO, specializing in AI solutions for sectors such as travel, are not only architects but also witnesses of what airlines, hotels, and companies associated with tourism are creating to serve travelers differently before, during and after their travels.

An example is Pana, a specialist on-demand travel company, contacts its customers using messages through applications, SMS or email. It consolidates the regular management of the local dialect, with information on the inclinations of the traveler, and uses the AI to indicate to the operators the decisions that more applications in the middle of the reservation procedure.

The KLM airline allows its travelers to obtain reservations confirmations, registration notices, tickets and flight announcements through a Facebook Messenger bot. They can also contact KLM through Messenger all day, every day.

And the Hilton hotel chain is testing Connie, a robotic assistant, powered by IBM Watson and Wayblazer. It can answer questions from visitors regarding courtesies, management, and nearby attractions. The more visitors you connect with Connie, the more you learn, adjust, and improve your suggestions and responses.

On the other hand, Customer relationship management in the travel industry is always about information and AI also helps in this regard. To build reliable relationships with customers and travelers, tourism managers need to know a lot about their customers; this information covers everything from their age, sexual orientation, gastronomic preferences, and interests.

Most of these data can be used throughout the client’s journey to maintain service at phenomenal levels, and be present to throw carrots at the right time to maintain their loyalty. Artificial intelligence can make this happen with just a few clicks.

The AI brings to the light valuable knowledge that travel managers had never conceived possible. This, in principle, should lead to greater customer benefit, better quality advertising and increased loyalty to brands that use their data in the right way.

That is why obtaining the necessary information and releasing the right messages for the right travelers is the biggest challenge for the tourism industry.

Internet of Things: The Trend That Revolutionizes the World

The solutions supported by Internet of Things (IoT) have evolved, and more and more industries use them to take the next level to their companies.

Technology has improved our lives in many ways, from the personal to the professional. The dynamics of coexistence have changed, and we need things to be increasingly straightforward and fast, and even automatic.

In the last five years, the solutions supported on the Internet have evolved, and the industries use them to take to the next level to their companies. Over time, the Internet of Things (IoT) has begun to make a real impact on the daily life of people and organizations as it modifies communication between objects and the functioning of cities. IoT refers to the digital interconnection of all kinds of everyday objects through the network.

At present, there are about 18. 000 million devices within the Internet of

The solutions supported by Internet of Things (IoT) have evolved, and more and more industries use them to take the next level to their companies.

Technology has improved our lives in many ways, from the personal to the professional. The dynamics of coexistence have changed, and we need things to be increasingly straightforward and fast, and even automatic.

In the last five years, the solutions supported on the Internet have evolved, and the industries use them to take to the next level to their companies. Over time, the Internet of Things (IoT) has begun to make a real impact on the daily life of people and organizations as it modifies communication between objects and the functioning of cities. IoT refers to the digital interconnection of all kinds of everyday objects through the network.

At present, there are about 18. 000 million devices within the Internet of Things, and by 2020 that figure is expected to reach 50 billion. There is no doubt that the use of this tool worldwide is growing rapidly.

Practical use

To improve the efficiency of these devices, more energy-efficient sensors are being designed, including processors capable of managing large volumes of data and enabling predictive analysis, as well as allowing the assignment of unique addresses for each one of the objects.

It allows enhancing the capabilities of the IoT, giving value to the business world, which is largely based on the data collected and the possibility of making real-time decisions aimed at analyzing the information that these devices.

As an example of this, companies like the Israeli beer company Weissbeerger locates sensors on the connectors where the beer passes, so that the measuring strips record how much beer is drunk in a bar.

As soon as the product reserves are finished, the brewery receives a notification and, consequently, can launch a new delivery. Also, in the automotive industry, in vehicles such as BMW and VW, the sensors measure the overall condition of the car.

If certain parameters leave the frame, the service of the automotive manufacturer receives a notification, and an employee calls the owner of the car to make an appointment. A similar scenario is implemented by the Italian motorcycle manufacturer Piaggio which uses this technology to predict fault analysis that is reported to the manufacturer and the vehicle owner. And these are just a couple of brief examples of what is achieved with IoT.

In the case of the Port of Hamburg, one of the backbones of the region’s economy, it has managed to maintain port traffic and commerce after the implementation of the Smart Port Logistics project, which allows them to connect different actors of the place by mobile business cloud. The project uses SAP logistics to help them get real-time information from both the port and transportation companies, parking providers and other businesses moving through it.

It integrates data from several vehicles that are in the port and then this information is consolidated and analyzed through the SAP HANA Cloud platform.

One of the most emblematic cases of how the IoT impacts the economy of a country is the case of Trenitalia, the Italian train company that through lords installed on the trains has managed to optimize its maintenance process until achieving between 8% And 10% total annual maintenance costs.

People and things

According to a study conducted by consulting firm McKinsey, it is estimated that potential economic impact of the IoT would be 3.900 million dollars to 11,100 million dollars a year in 2025. It indicates that the technology will have a greater influence in the global value of the advanced economies.

However, their adoption in developing economies is huge and can account for almost 40% of the value of IoT. The Internet of Things not only focuses on the business world but also has the ability and the facility to get involved in any activity that people do in their daily lives.

According to a United Nations report, by the year 2020, the world will have increased its population to 7.7 billion people, and the connected artifacts will be 2 times greater to the global population. A fact that shows that this trend connects and brings together two worlds: people and things.

At present, running the washing machine from the office using an application for our mobile phone is a reality, as well as alerting the doctor about an abnormal situation from the cell phone, receiving cooking recipes based on food stored in the refrigerator, turn off the lights of the house while you are not there to save electricity or even have suggestions for changing mattress according to how we sleep – all this is and will be possible without time or place limits.

Considering all this and starting from the fact that the Internet of things is a reality, we must ask ourselves how we can take advantage of these new technologies to generate opportunities that allow us to be more competitive in a world that is constantly changing.

It is time to innovate and reinvent business models to respond to the accelerated and constant transformation of the market.

SoftBank Wants to Become a Giant of Robotics and Artificial Intelligence

The Japanese company SoftBank will buy two robotics companies owned by Google. Contrary to what its name suggests, the Japanese company SoftBank is not a bank but a telecommunications company. Softbank loves technology and especially robots.

In 2015, it bought the French Aldebaran (Nao, Pepper). It has just announced the acquisition of two US robotics companies owned by Alphabet, the parent company of Google, Schaft and Boston Dynamics.

Robots for military use

Schaft and Boston Dynamics specialize in bipedal and quadruped mobile robots. They already have several astounding creatures like Atlas, a kind of Robocop standing on two legs; Spot, a big dog robot that always falls on its paws and can carry military equipment or Handle, a robot on wheels that jumps to 1.2 meters high.

All this would be even a bit creepy. This would be partly because it gives a disturbing picture of the Google Galaxy, which Alphabet would

The Japanese company SoftBank will buy two robotics companies owned by Google. Contrary to what its name suggests, the Japanese company SoftBank is not a bank but a telecommunications company. Softbank loves technology and especially robots.

In 2015, it bought the French Aldebaran (Nao, Pepper). It has just announced the acquisition of two US robotics companies owned by Alphabet, the parent company of Google, Schaft and Boston Dynamics.

Robots for military use

Schaft and Boston Dynamics specialize in bipedal and quadruped mobile robots. They already have several astounding creatures like Atlas, a kind of Robocop standing on two legs; Spot, a big dog robot that always falls on its paws and can carry military equipment or Handle, a robot on wheels that jumps to 1.2 meters high.

All this would be even a bit creepy. This would be partly because it gives a disturbing picture of the Google Galaxy, which Alphabet would be willing to get rid of these two companies. Schaft and Boston Dynamics are working with the US military, and the US government has yet to agree to the buy-in.

Behind SoftBank, a visionary

Behind SoftBank, the CEO, Masayoshi Son, is fond of investing in new emerging technologies. He regularly visits Silicon Valley and claims to have been a friend of Steve Jobs.

Masayoshi Son has a vision. For now, SoftBank does not really innovate but puts the package on the acquisition of innovative companies because it wants to become the biggest technology investor in the world. Last year, the group joined forces with Saudi Arabia to create the world’s largest technology investment fund.

SoftBank wants to become a global player in robotics and artificial intelligence. Masayoshi Son believes much in the “technological singularity,” the rather controversial idea that artificial intelligence will one day exceed human intelligence. SoftBank Robotics is in any case undeniably a company to follow closely.

This Train Does Not Need Any Rails

Sensors, which are based on a white dashed line and the autonomous Rapid Rail Transit in China safely travel on that line. The train can 300 passengers and has space in the combination of bus and train.

China is one of the most developed countries in the world. The engineers are especially interested in innovations in local transport. Now a combination of bus and train was presented, which can drive autonomously. Autonomous Rail Rapid Transit (ART) is the new means of transport, as the state news website Xinhua.net reports.

The CRRC Zhuzhou Locomotive Co., Ltd., is about 30 meters long and can carry more than 300 passengers. After a 10-minute recharge time, the “Smart Bus” can travel 25 kilometers with a speed of up to 70 kilometers per hour.

[youtube https://www.youtube.com/watch?v=Dd3N9CFKe9M%5D

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Sensors, which are based on a white dashed line and the autonomous Rapid Rail Transit in China safely travel on that line. The train can 300 passengers and has space in the combination of bus and train.

China is one of the most developed countries in the world. The engineers are especially interested in innovations in local transport. Now a combination of bus and train was presented, which can drive autonomously. Autonomous Rail Rapid Transit (ART) is the new means of transport, as the state news website Xinhua.net reports.

The CRRC Zhuzhou Locomotive Co., Ltd., is about 30 meters long and can carry more than 300 passengers. After a 10-minute recharge time, the “Smart Bus” can travel 25 kilometers with a speed of up to 70 kilometers per hour.

In addition, ART does not need any rails. Instead, it is based on built-in sensors only on a white dashed line on the ground. This is also the decisive advantage of this new type of track.

The construction of a metro including rails costs between 400 and 700 million yuan (52.29 million and 91.5 million euros) per kilometer. The construction of an ART costs only about 15 million yuan (1.96 million euros).

“There is a huge demand for urban transit systems,” the company said. One reason for this is the steadily growing urban population. The first real use of ART is planned in 2018 on a 6.5 kilometer stretch in Zhuzhou, north of Hong Kong.

Having Your Business Data in the Cloud is Not Only Safer But More Cost-Effective

The methods for a company to migrate their systems to the cloud are different and varied. However, the most important thing to keep in mind is that there are a number of myths for those who have to make the decision on cloud migration.

One of the main myths about migrating business data to the cloud lies in the concern about the potential vulnerability of its confidentiality. The trend is changing because before people wanted to have the information saved, but now they realize that the cloud is safe and once there the data is there, it is harder to lose.

Advances in technology have made possible attacks to violate or hack the information are minimized. In addition to demystifying the security issue, the main advantage of having information from a company in the cloud is portability.

By having the data in the cloud, they are available at any time

The methods for a company to migrate their systems to the cloud are different and varied. However, the most important thing to keep in mind is that there are a number of myths for those who have to make the decision on cloud migration.

One of the main myths about migrating business data to the cloud lies in the concern about the potential vulnerability of its confidentiality. The trend is changing because before people wanted to have the information saved, but now they realize that the cloud is safe and once there the data is there, it is harder to lose.

Advances in technology have made possible attacks to violate or hack the information are minimized. In addition to demystifying the security issue, the main advantage of having information from a company in the cloud is portability.

By having the data in the cloud, they are available at any time, and for all members of the company who are duly authorized, otherwise, companies usually use programs that involve more complex procedures to access.

The company will not have to dedicate itself to buying servers nor will it need specialized technical support people. The only thing that will require is the internet connection to access the data of the organization that will be in the cloud.

Software providers have agreements with companies that provide the service of putting information in the cloud, such as Microsoft, Dropbox, Orange Cloud, and Box, among others. What matters is the advice of experts to choose the provider that most closely matches the needs of each company.

There are different providers of this service, in the hosting part or those that distribute this type of technology, are classified according to their qualification. If the customer is looking for a company with low qualification, it will have less available their data. And now companies are migrating to the cloud for security and improving their processes.

Google is Now Measuring Air Pollution in the US Cities

Google has used its Street View vehicles to measure air pollution in US cities. The first result of the study was the detailed maps of Oakland, California, where the dioxin and CO2 exposure is highest.

The cars of Google Street View can do more than just take shots from the streets of this world. In Oakland, California, Google has used its vehicles for the study High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data to capture air pollution in the 400,000-inhabitant city accurately.

[youtube https://www.youtube.com/watch?v=mFnE8r0RoYg%5D

For the project, Google collaborated with the University of Texas at Austin, the NGO Environmental Defense Fund (EDF), and the company Aclima. Between May 2015 and May 2016, street-view cars drove a

Google has used its Street View vehicles to measure air pollution in US cities. The first result of the study was the detailed maps of Oakland, California, where the dioxin and CO2 exposure is highest.

The cars of Google Street View can do more than just take shots from the streets of this world. In Oakland, California, Google has used its vehicles for the study High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data to capture air pollution in the 400,000-inhabitant city accurately.

For the project, Google collaborated with the University of Texas at Austin, the NGO Environmental Defense Fund (EDF), and the company Aclima. Between May 2015 and May 2016, street-view cars drove a total of more than 25,000 kilometers across Oakland and collected specific airborne data in the metropolitan area using special sensors. Typically, such data is determined with fixed stations, and Google vehicles have been given the opportunity to work much more precisely thanks to their mobility.

During the study period, the vehicles rolled an average 30 times over each street in Oakland, resulting in a total of 2.7 million measurement points. Google generated an interactive Google Maps card that the EDF published on its website.

google_maps_pollution

The environmental organization shows which streets the exposure to CO2 or nitrogen is the highest. As you would expect, the values on and in the vicinity of Highways are the highest as heavy trucks drive along the way.

High buildings also ensure that people are exposed to health risks because the fresh air exchange is disturbed in such areas. Due to the high levels of air pollution, there are twice as many asthmatics in Oakland as Alameda County, also located in the San Francisco Bay Area.

According to a blog post from Aclima, the study was a pilot project to be expanded in the future. The company, which offers sensors and cloud solutions among other things, reached an agreement with Google in September 2015 that the street-view vehicles in other US cities should measure the air pollution.

To date, the converted cars have driven nearly 130,000 kilometers through California to collect data for further environmental studies in San Francisco and Los Angeles. They are to be published in the coming months.