800 million tweets describe circadian rhythms control over thought patterns, according to the scientists.
The circadian rhythms of humans are recognized as affecting person’s mood, as the energy levels use to dips and spike at different times of a day, following 24-hour pattern, as reported in a recent study, for which scientists decoded the thought processing cycle of humans by analyzing 800 million tweets.
A team of researchers from the University of Bristol in the United Kingdom, examined anonymised and aggregated tweeter content sampled hour-wise with the help of artificial intelligence (AI) for the timescale of four years across 54 largest cities in the country, in order resolve if human thinking modes differ collectively.
More findings of the study are disclosed in the journal PLOS ONE, which show various cognitive and emotional modalities in our thoughts, recognizing difference in language by managing the use of particular words over twitter sample that are linked to 73 psychometric indicators and used to assist in interpreting information regarding the human thinking patterns.
Prof Nello Cristianini from the University of Bristol said in a statement that, “The analysis of media content, when done correctly, can reveal useful information for both social and biological sciences. We are still trying to learn how to make the most of it.”
Bristol Medical Prof Stafford Lightman said, “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. The use of medical data allows us to analyse neuropsychological parameters in a large unbiased population.”