
5 stalled mega mergers that could get a green light under Trump
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
50% Medium Right
- Politician Portrayal
-48% Negative
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
13% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
55% : Trump is expected to turn to one of the two current Republican FTC commissioners to serve as an acting lead for the agency.54% : Fortune set out to discover which deals may get a second chance under Trump 2.0.
39% : Wall Street already has four years getting used to Trump, Mizuho's Katz said.
38% : The merger has faced significant opposition from Trump, and the United Steelworkers.
37% : One of the biggest deals that fell by the wayside due to regulatory interference was Nvidia's $40 billion offer to buy Arm, which was announced in September 2020 while Trump was still in office.
35% : While it's unclear which campaign promises he will keep, Trump is a "known unknown," Katz said.
34% : " Antitrust law under Trump won't be out the window altogether.
34% : One private equity executive who invests in tech said many companies "don't want to be the guinea pig to try and see what can be approved [under Trump], especially if they have tried once before and failed."
29% : Trump and the GOP, however, have cultural axes to grind with Big Tech, meaning Google could have a harder time than others.
26% : Under Trump, scrutiny could get less intense, opening the door for it to snap up Wix or Hubspot.
20% : Under Trump, regulators also sued Facebook over antitrust and called for a ban on TikTok.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.