People trust machines more than humans for sharing data

Agencies
May 12, 2019

People tend to trust machines more than humans when it comes to sharing private information and access to their financial data, an Indian-origin researcher has stressed.

People who trusted machines were significantly more likely to hand over their credit card numbers to a computerised travel agent than a human travel agent, said S. Shyam Sundar, Co-director of the Media Effects Research Laboratory and affiliate of Penn State's Institute for CyberScience (ICS).

"A bias that that machines are more trustworthy and secure than people -- or the machine heuristic -- may be behind the effect," Sundar added.

The faith in machines may be triggered because people believe that machines do not gossip, or have unlawful designs on their private information.

However, said Sundar, while machines might not have ulterior motives for their information, the people developing and running those computers could prey on this gullibility to extract personal information from unsuspecting users, for example, through phishing scams.

"This study should serve as a warning for people to be aware of how they interact online. People should be aware that they may have a blind belief in machine superiority. They should watch themselves when they engage online with robotic interfaces," Sundar noted.

For the study, the researchers recruited 160 participants from Amazon Mechanical Turk, an online crowdsourcing website frequently used in studies.

The participants were asked to use either a human or a machine chat agent to find and purchase a plane ticket online.

After the agent returned the flight information, it prompted the participants for their credit card information.

The presence of a machine agent on the interface served as a cue for triggering the ingrained belief that machines are superior.

People with a high degree of trust in machines only need subtle design indications that they are interacting with a machine.

"In all of this, one thing I would like to stress is that the designers have to be ethical. They should not unethically try to extract information from unsuspecting consumers," Sundar stressed.

The findings were shared during the "ACM CHI Conference on Human Factors in Computing Systems" held in Glasgow from May 4-9.

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Agencies
July 9,2020

Twitter has hinted that it is planning a paid subscription platform that can be reused by other teams in the future.

The news that the micro-blogging platform is building a subscription platform with a team codenamed "Gryphon" resulted in Twitter stock rising over 8% on Wednesday.

Twitter revealed its plan via a job listing that seeks a full-stack senior software engineer in New York to join "Gryphon".

Interestingly, Twitter "edited" the job listing once the news broke, removing the part about "Gryphon" and any mention of their internal team or their subscription feature. The listing said the company is looking for an Android engineer to "work on a bevy of backend engineering teams to build components that allow for experimentation to deliver the best experience possible to all of our users".

Later, Twitter users noticed that the company restored the earlier job listing that mentioned the upcoming subscription platform and "Gryphon".

A spokesperson for Twitter told CNN on Wednesday that it's only a job posting, not a product announcement.

This is not the first time Twitter has thought of a paid product. 

In 2017, it sent out a survey to users and a preview of what a premium offering of its TweetDeck app might look like, including breaking news alerts and more analytics, according to The Verge.

"We're conducting this survey to assess the interest in a new, more enhanced version of Tweetdeck. We regularly conduct user research to gather feedback about people's Twitter experience and to better inform our product investment decisions, and we're exploring several ways to make TweetDeck even more valuable for professionals," a Twitter spokesperson had said at that time.

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Agencies
July 13,2020

New Delhi, Jul 13: The Income Tax Department has facilitated a new functionality for banks and post offices to ascertain TDS applicability rates on cash withdrawal of above Rs 20 lakh in case of a non-filer of the income-tax return and that of above Rs 1 crore in case of a filer of the income-tax return.

In a statement, the Central Board of Direct Taxes (CBDT) said that now banks and post offices have to only enter the PAN of the person who is withdrawing cash for ascertaining the applicable rate of TDS.

So far, more than 53,000 verification requests have been executed successfully on this facility, a statement by the CBDT said.

"CBDT today said that this functionality available as 'Verification of applicability u/s 194N' on www.incometaxindiaefiling.gov.in since 1st July 2020, is also made available to the Banks through web-services so that the entire process can be automated and be linked to the Bank's internal core banking solution," it said.

On entering PAN by the bank or the post office, a message will be instantly displayed on the departmental utility: "TDS is deductible at the rate of 2 per cent if cash withdrawal exceeds Rs 1 crore", in case the person withdrawing cash is a filer of the income-tax return.

In case the person withdrawing cash is a non-filer of income tax return, the message shown would be: "TDS is deductible at the rate of 2 per cent if cash withdrawal exceeds Rs 20 lakh and at the rate of 5 per cent if it exceeds Rs 1 crore."

The CBDT said that the data on cash withdrawal indicated that huge amount of cash is withdrawn by the persons who have never filed income-tax returns.

To ensure filing of return by these persons and to keep track on cash withdrawals by the non-filers, and to curb black money, the Finance Act, 2020 with effect from July 1, 2020 further amended IT Act to lower threshold of cash withdrawal to Rs 20 lakh for the applicability of this TDS for the non-filers and also mandated TDS at the higher rate of 5 per cent on cash withdrawal exceeding Rs 1 crore by the non-filers.

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Agencies
July 25,2020

In a study conducted in 117 countries, researchers have found that the world is experiencing the most dramatic reduction in the seismic noise (the hum of vibrations in the planet's crust) in recorded history due to global COVID-19 lockdowns.

Measured by instruments called seismometers, seismic noise is caused by vibrations within the Earth, which travel like waves and the waves can be triggered by earthquakes, volcanoes, and bombs - but also by daily human activity like travel and industry.

This quiet period was likely caused by the total global effect of social distancing measures, closure of services and industry, and drops in tourism and travel, the study published in the journal Science, reported.

The new research, led by the Royal Observatory of Belgium and five other institutions around the world including Imperial College London (ICL), showed that the dampening of 'seismic noise' caused by humans was more pronounced in more densely populated areas.

"Our study uniquely highlights just how much human activities impact the solid Earth, and could let us see more clearly than ever what differentiates human and natural noise," said study co-author Stephen Hicks from ICL in the UK.

For the findings, the research team looked at seismic data from a global network of 268 seismic stations in 117 countries and found significant noise reductions compared to before any lockdown at 185 of those stations.

Researchers tracked the 'wave' of quietening between March and May as worldwide lockdown measures took hold.

The largest drops in vibrations were seen in the most densely populated areas, like Singapore and New York City, but drops were also seen in remote areas like Germany's the Black Forest and Rundu in Namibia.

Citizen-owned seismometers, which tend to measure more localised noise, noted large drops around universities and schools around Cornwall, UK and Boston, US - a drop in noise 20 per cent larger than seen during school holidays.

The findings showed that countries like Barbados, where lockdown coincided with the tourist season, saw a 50 per cent decrease in noise.

"The changes have also given us the opportunity to listen in to the Earth's natural vibrations without the distortions of human input," the study authors wrote.

Earlier in April, a study published in the journal Nature, reported at least a 30 per cent reduction in that amount of ambient human noise since lockdown began in Belgium.

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