The Battleground State Report: Trump’s Unpredictability Is a Game Changer Both Foreign and Domestic

During a live recording on Friday’s Battleground State Report with Michael Patrick Leahy and Doug Kellett – a one-hour radio show from Star News Digital Media in the early stages of national weekend syndication rollout – with Kellett out of the studio, Leahy welcomed Tennessee Star Report’s all-star panelist Crom Carmichael to the show.

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SWAIN: Socialist City Council Member Amelia Parker’s Refusal to Swear ‘So Help Me God’ Reveals Who She Really Is

Live from Music Row Thursday morning on The Tennessee Star Report with Michael Patrick Leahy – broadcast on Nashville’s Talk Radio 98.3 and 1510 WLAC weekdays from 5:00 a.m. to 8:00 a.m. – Leahy was joined in studio by all-star panelist Dr. Carol Swain to discuss a newly elected socialist to the city council in Knoxville, Tennessee last week.

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Commentary: ‘Conservatism, Inc.’ Is Powerless Against Socialism

As America enters a new decade, a political realignment is happening. The Left, traditionally the party of the working class, now represents urban, liberal elites more interested in the latest permissive fashions than they are in what they see as the parochial concerns of their less affluent countrymen. In reaction, conservatism has aligned to an increasing degree with the working class.

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Analysis: Scientific Survey Shows Voters Widely Accept Misinformation Spread by Left-Leaning Media

NBC News reporter and political director Chuck Todd recently railed against “misinformation” and singled out President Trump and “the right” for having an “incentive structure” to spread it. Todd, who according to NBC, “is responsible for all aspects of the network’s political coverage,” also stated that Republicans criticize the media for “sport” and “the loudest chanters of fake news” are “the ones who, under a lie detector, would probably take our word over any word they’ve heard from the other side on whether something was poisonous or not.”

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Commentary: Algorithms Are Only as Fair as Their Authors

Machine and human intelligences bring different strengths to the table. Researchers like me are working to understand how algorithms can complement human skills while at the same time minimizing the liabilities of relying on machine intelligence. As a machine learning expert, I predict there will soon be a new balance between human and machine intelligence, a shift that humanity hasn’t encountered before.

Such changes often elicit fear of the unknown, and in this case, one of the unknowns is how machines make decisions. This is especially so when it comes to fairness. Can machines be fair in a way that people understand?

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