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Study: Twitterati More Logical in the Morning, Emotional in the Evening

They found that the tweets starting at around 5 a.m. to 6 a.m., depicts expressions with measures of analytical thinking through the high use of nouns, articles and prepositions

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Twitter is currently focused on information quality ahead of the elections.
Twitter is currently focused on information quality ahead of the elections. Pixabay
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Early morning tweets are often based on a logical way of thinking, while those in the evenings and nights are high on emotions, finds an analysis of 800-million tweets.

The findings showed that our mode of thinking changes at different times of the day and follows a 24-hour pattern.

At 6 a.m., analytical thinking was shown to peak; the words and language at this time were shown to correlate with a more logical way of thinking.

However, in the evenings and nights this thinking style changed to a more emotional and existential one.

“Circadian rhythms are a major feature of most systems in the human body, and when these are disrupted they can result in psychiatric, cardiovascular and metabolic disease,” said Stafford Lightman, Professor at the Britain’s University of Bristol.

“The use of media data allows us to analyse neuropsychological parameters in a large unbiased population and gain insights into how mood-related use of language changes as a function of time of day.

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Twitter Icon, Pixabay

“This will help us understand the basis of disorders in which this process is disrupted,” Lightman added.

For the study, published in the journal PLOS ONE, the team examined thinking behaviour by analysing seven-billion words used in 800-million tweets.

They found that the tweets starting at around 5 a.m. to 6 a.m., depicts expressions with measures of analytical thinking through the high use of nouns, articles and prepositions.

Also Read: Live News Events on Your Twitter Timeline, Notifications 

This early-morning period also shows increased concern with achievement and power. On the other hand, the researchers found a more impulsive, social, and emotional mode during evening.

The tweets during evening were correlated with the language of existential concerns but anti-correlated with expression of positive emotions.

Overall, the study found strong evidence that our language changes dramatically between night and day, reflecting changes in our concerns and underlying cognitive and emotional processes, the researchers said.

These shifts also occur at times associated with major changes in neural activity and hormonal levels, suggesting possible relations with our circadian clock. (IANS)

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Tech Giants to join Data Transfer Project (DTP) To Help Users Manage Data

The Data Transfer Project uses services' existing APIs and authorisation mechanisms to access data. It then uses service specific adapters to transfer that data into a common format, and then back into the new service's API.

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According to Google, the project will let users "transfer data directly from one service to another, without needing to download and re-upload it". (Wikimedia Commons)

To help billions of users manage their data and help them transfer that into and out of online services without privacy issues, four tech giants — Facebook, Google, Microsoft and Twitter — on Friday announced to join the open source initiative called Data Transfer Project (DTP).

In the early stages at the moment, the Data Transfer Project will help users of one service to use their data to sign up for another service with encryption.

“Using your data from one service when you sign up for another still isn’t as easy as it should be. Today we’re excited to announce that we’re participating in the Data Transfer Project,” said Steve Satterfield, Privacy and Public Policy Director at Facebook in a statement.

The initiative comes at a time when data-sharing is making headlines — be it the massive Cambridge Analytica data scandal or third-party apps accessing users’ data at various platforms — amid countries announcing new data-protection laws like the European General Data Regulation Protection (GDPR).

Moving data between any two services can be complicated because every service is built differently and uses different types of data that may require unique privacy controls and settings.

“For example, you might use an app where you share photos publicly, a social networking app where you share updates with friends, and a fitness app for tracking your workouts,” said Satterfield.

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Moving data between any two services can be complicated because every service is built differently. Pixabay

“These are the kinds of issues the Data Transfer Project will tackle. The Project is in its early stages, and we hope more organisations and experts will get involved,” he added.

The Data Transfer Project uses services’ existing APIs and authorisation mechanisms to access data. It then uses service specific adapters to transfer that data into a common format, and then back into the new service’s API.

According to Google, the project will let users “transfer data directly from one service to another, without needing to download and re-upload it”.

The tech giants also released a white paper on this project.

“The future of portability will need to be more inclusive, flexible, and open. Our hope for this project is that it will enable a connection between any two public-facing product interfaces for importing and exporting data directly,” read the white paper.

According to Damien Kieran, Data Protection Officer at Twitter, right now, much of the online products and services we use do not interact with each other in a coherent and intuitive fashion.

“Information that is housed on one platform cannot be easily and securely transferred to other services. This is not a positive collective experience for the people who use our services and we are keen to work through some of the challenges as an industry,” Twitter said.

Also Read-Google, Facebook Have Been Using “Dark Patterns”: Report

The Data Transfer Project was formed in 2017 to create an open-source, service-to-service data portability platform so that all individuals across the web could easily move their data between online service providers whenever they want. (IANS)