Write to us
enquiry@myfinb.com

Mathematical Models Predict the Recent Political Insurgencies and Suggest Possible Remedies to the Effect of Social Media

"Aimdyn, Inc., an Artificial Intelligence Research Company in California that uses Machine Learning Algorithms in order to make predictions based on big data has found mathematical evidence of correlations between the current large social media platforms' structure and algorithms, and the increased frequency of political insurgencies like the BLM protests of the last summer and the recent attack on the Capitol."

Aimdyn, Inc., an Artificial Intelligence Research Company in California that uses Machine Learning Algorithms in order to make predictions based on big data has found mathematical evidence of correlations between the current large social media platforms’ structure and algorithms, and the increased frequency of political insurgencies like the BLM protests of the last summer and the recent attack on the Capitol.

The Social Media platforms provide users with two key elements in their interactions: 1) the ability to connect to people that are distant, but have similar political orientation and feeling of dissatisfaction with the political process (the so-called homophily) and 2) suggestions of content based on users’ past content viewing history.

Recent discussions and movies like Social Dilemma tend to emphasize the second aspect. However, two papers written before these events by Aimdyn researchers in collaboration with Criminal Justice professor Jason Gravel from Temple University showed both aspects are the basic ingredients for more frequent and larger insurgencies and political violence based on mathematical models and algorithms used in Artificial Intelligence (AI).

“Algorithms on social media platforms are able to “optimize” homophily–a powerful natural human tendency to associate with similar other–by suggesting content that your friends like even before those friends share that information with you. By sharing content an algorithm has already determined your friends are likely to be interested in, you give legitimacy to that content and to your friends’ interest in that content,” said Jason Gravel, Assistant Professor of Criminal Justice at Temple University.

 

Source: Aimdyn

Share:

Share on facebook
Facebook
Share on twitter
Twitter
Share on linkedin
LinkedIn
Share on telegram
Telegram
Share on whatsapp
WhatsApp
Share on email
Email

AI Blog – Latest news on Artificial Intelligence and its applications on the globe. 

Browse more

Related Posts

Board Directors Can Do More With AI

Corporate governance is an evolving area that changes with policy matters and economic reforms in a country. There is notably an increasing pressure on the board of directors and management to implement policies; while maintaining a healthy culture and good corporate governance responsibility across the organisation.

Read More »

New Way Forward to Formulate Strategic Plans

The Centre for AI Innovation (CEAI), the social innovation arm of MyFinB Group, has launched a series of capacity building programme to help diverse types of organisations with strategic planning, using AI. This was implemented in view of the volatility of the business environment that causes many organisations to adopt reactive strategies rather than proactive ones. However, reactive strategies or “fire-fighting” are typically only viable as a short-term solution, even though they may require spending significant resources and time to execute them.

Read More »

Professional Firms Get AI Boost for their Clients

InfoTrust, a Singapore-based, award-winning ICT company, is embarking on a journey to build internal competencies in AI to disrupt traditional professional services such as corporate reporting solutions. The primary goal is for InfoTrust to build a suite of AI solutions using predictive and prescriptive analytics, to boost its existing suite of solutions for the Singapore market as a start.

Read More »