'Blue Dot' in Nebraska draws boldface political names
- Bias Rating
-20% Somewhat Liberal
- Reliability
50% ReliableFair
- Policy Leaning
20% Somewhat Conservative
- Politician Portrayal
37% Positive
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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
36% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
61% : Gabbard encouraged the audience to "convince" other voters in the district to vote for Trump.55% : On an unseasonably warm October evening in eastern Nebraska on Saturday, with only 17 days until the 2024 presidential election, both the Harris and Trump campaigns descended upon the Cornhusker State to deliver a similar message to its 2nd Congressional District: their votes could singularly decide the outcome of the race.
49% : "Nebraska has been a hot topic nationally many times this cycle -- first for the possibility it might change its Electoral College process into one more favorable to Trump and taking away power from the "Blue Dot," and now for its increasingly competitive House and Senate races that could determine the balance of power in both chambers.
42% : On Saturday, Kennedy laid out a hypothetical election night scenario that he said was based on internal polling he conducted while he was a candidate, in which Harris wins Michigan, Wisconsin and Pennsylvania and Trump wins North Carolina, Georgia, Nevada, and Arizona.
34% : The possibility that Trump and Harris tie at 269-269 -- where neither hits the 270 electoral votes required to win the presidency -- isn't out of the question in a race forecasted by pundits and pollsters to be close.
*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.