SCOTUS Delivers Setbacks to Anti-Trump Lawfare
- Bias Rating
70% Medium Conservative
- Reliability
85% ReliableGood
- Policy Leaning
92% Very Conservative
- Politician Portrayal
-47% Negative
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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
-16% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
53% : Still, Trump saw the decision as a plus, posting on Truth Social that this was "a massive victory for J6 political prisoners."41% : There are also First Amendment issues with criminalizing protests against the government that were more or less ignored in these cases (although Associate Justice Amy Coney Barrett did touch on the 1A in her dissent, and during oral arguments stated, "People are going to worry about the kinds of protest they engage in, even if they're peaceful, because the government has this weapon.")Trump is in the picture because he too is charged with obstruction and conspiracy to obstruct, with the government claiming he worked in a variety of forms to overturn the 2020 election and make himself president for a second term.
41% : Trump is looking at a raft of charges for essentially the same act, without much explanation other than "face it, kid, that's lawfare.
26% : Lawfare, however, is here to stay, and it is unlikely that Trump will be its last victim.
25% : But what about Defendant 351, Trump himself?
14% : Trump is charged under the same law but for different actions: those fake elector ballots.
13% : The accusations against him include that scheme to concoct illegitimate documents to disrupt Congress's processing of electoral college votes, namely, fake elector ballots "cast" for Trump by fake electors.
*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.