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Fair trade regulator CCI will shortly come out with changes to certain competition rules, including those related to green channel approvals for mergers and acquisitions. Speaking at a conference in the national capital, Competition Commission of India (CCI) Chairperson Ravneet Kaur on Friday said the regulator is focusing on advocacy efforts and capacity building. While mentioning about various activities being done by the CCI, she said, "We are going to shortly notify changes in competition rules". These include changes to rules pertaining to green channel approvals for mergers and acquisitions, and de minimas. De minimas relates to exemption thresholds for mergers and acquisitions that need clearance from the CCI. As part of boosting efforts to curb unfair business practices in the marketplace, amendments have also been made to the competition law. Kaur flagged dark patterns in the e-commerce space and algorithmic collusion. There are dark patterns and how they can influence
Algorithms controlling a social media user's feed, while largely opaque, may not be polarising the society in the same ways as the public tends to think, social scientists say. They have published studies examining social media's impact on individuals' political attitudes and behaviours during the US presidential election in 2020 in the journals Nature and Science. "The notion that such algorithms create political 'filter bubbles', foster polarisation, exacerbate existing social inequalities, and enable the spread of disinformation has become rooted in the public consciousness," write Andrew M. Guess, lead author of one of these newly published studies, and colleagues about the opaque-to-users algorithms used by social media companies. The Nature study found that exposing a Facebook user to content from sources having the same political persuasions as them, or "like-minded" sources, did not measurably impact the user's political beliefs or attitudes during the 2020 US presidential .
The powerful algorithms used by Facebook and Instagram to deliver content to users have increasingly been blamed for amplifying misinformation and political polarisation. But a series of groundbreaking studies published Thursday suggest addressing these challenges is not as simple as tweaking the platforms' software. The four research papers, published in Science and Nature, also reveal the extent of political echo chambers on Facebook, where conservatives and liberals rely on divergent sources of information, interact with opposing groups and consume distinctly different amounts of misinformation. Algorithms are the automated systems that social media platforms use to suggest content for users by making assumptions based on the groups, friends, topics and headlines a user has clicked on in the past. While they excel at keeping users engaged, algorithms have been criticised for amplifying misinformation and ideological content that has worsened the country's political ...