After facing flak for using unethical and discreet ways of collecting user-information, Facebook has decided to pay Android users in India and the US just to monitor how they use their phones.
To fulfil this purpose, the social networking giant has launched a new app called Study which is available for download on Google's Playstore for Android users aged 18 and above.
The app would not only monitor installed apps on a person's phone but also observe the amount of time spent on those apps along with details like the users' location and additional app data which could reveal other specific features being used, The Verge reported on Tuesday.
"When analysing data from this app, we reference other information Facebook has about you, such as your age, gender and you use Facebook Company Products. This allows us to learn more about how participants use different services," the Study app description on Google Playstore reads.
The company says it would not see any specific content, including messages, passwords, and websites the users visit, the report said.
Earlier this year, it was revealed that the social media giant was secretly paying people to install a "Facebook Research" Virtual Private Network (VPN) that was letting the company access user's data.
It was also highlighted that, since 2016, Facebook was paying users aged 13 to 35 up to $20 per month, plus referral fees, to sell their privacy by installing the iOS or Android "Facebook Research" app.
Moreover, media reports also claimed that Facebook even asked users to screenshot their Amazon order history pages.
However, the launch of Study shows that Facebook clearly feels that it still needs this data on how people are using their phones, and that the company has learnt a thing or two from the last controversy, the report added.
The company has so far not disclosed the amount of money it is planning to offer the participants, who are required to have a PayPal account for receiving payments.
(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)