MSM Ignores Gender Gap Disappearing in 2024 Election with White Women
- Bias Rating
76% Very Conservative
- Reliability
5% ReliablePoor
- Policy Leaning
88% Very Conservative
- Politician Portrayal
-26% 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
-17% Negative
- Conservative
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Contributing sentiments towards policy:
50% : The biggest demographic that supported Trump appears to be pro-lifers, with 91% voting for him.49% : While white men voted in even higher numbers for Trump than white women, 60% to 38%, white women's support mirrored the overall nationwide vote for Trump.
40% : Women showed up to vote alright, but they showed up to vote for Trump.
37% : Both the battleground states of Arizona and Nevada went 6% for Trump despite radical abortion measures being on the ballot.
37% : In all ten states that had abortion measures on the ballots, voters supposedly voted for abortion but also for Trump.
36% : In Arizona, petition signature gatherers were caught many times on video lying to get voters to sign so Prop. 139 would make the ballot, saying things like abortions were illegal in the state so women have to go to Mexico to get them.
36% : This would explain the shift in women voting for Trump.
32% : Since the minority vote still mostly went to Harris -- except Latino males, who barely split for Harris 49%-48%, and Cubans, who heavily went for Trump -- their support is likely due to her skin color, not due to preferring her policies.
30% : Trump also lost college-educated women, a traditional demographic of the Democratic Party, due to all the indoctrination in academia.
18% : Harris' entire campaign gambled on this being accurate; her platform consisted of really just two things -- abortion and hating Trump.
*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.