In a sudden rise veteran actors, Amitabh Bachchan & Madhuri Dixit Nene have scaled to the top spot of the popularity charts of Score Trends India post the sad demise of veteran actor Sridevi Kapoor.
Following the demise of the iconic actress, Sridevi who was similar to the popularity of Madhuri got the numbers of Dixit soaring suddenly. Madhuri’s condolences to the actress on social platforms and her visiting to Sridevi’s final mortal remains were a talking point across all mediums. Madhuri who was not into the first 10 found herself at the number 1 ranking with 66.86 points, which is a rise of 51.18 points.
Ensuing Sridevi’s sudden demise, the veteran actor Amitabh Bachchan turned to Twitter & other social platforms to express his grief with his farewell poems and tweets which made waves promoting himself from the 3rd position with 51.56 points to the number 1 position with 81.14 points a huge hike of 29.58 points on the score trends chart.
Priyanka Chopra has suddenly found herself in the second position with Shah Rukh Khan and Anil Kapoor who happens to be the brother in law of Sridevi also took a lead to the 3rd position on the Score Trends India Charts.
As per Score Trends policies, the scores of late actress Sridevi was not included in the chart since the agency only report the stars who are alive.
These statistics are authenticated and researched by the US-based media tech startup Score Trends India.
“We collect data from over 600 news sources across 14 languages in India to analyse the media from Thursday to Thursday,” explained Ashwani Kaul, co-founder of Score Trends. “These include Facebook, Twitter, print publications, viral news on social media, broadcast and digital platforms. Various sophisticated algorithms then help us to process this massive amount of data and arrive at the scores and rankings of Bollywood stars.”
Explaining how data and algorithms play a huge role in the media tech space at Score Trends, Ashwani Kaul said, “Automated algorithms provide an unbiased score to each celebrity based on numerous factors. Cutting-edge technologies such as Machine Learning and Artificial Intelligence are used to clean and associate data. The summarised data then passes through various quality controls which include human verification of each of the parameters every week before the scores are published.”