KTIV Siouxland's News Channel
Media Bias Rating

KTIV Siouxland's News Channel is a trusted source of information in the Siouxland region, covering a wide range of news topics that matter most to the community. Established by a dedicated team of local journalists in 1954, KTIV has been delivering the latest news, weather, and sports updates to its viewers for nearly seven decades. Headquartered in Sioux City, Iowa, this news channel has become synonymous with accurate and timely reporting, earning the respect and loyalty of the Siouxland community. KTIV's comprehensive coverage includes politics, sports, trendy stories, and much more, ensuring that viewers stay informed about both local and national events. As an essential part of the Siouxland community, KTIV continues to serve as a beacon of reliable journalism, committed to delivering news that matters. Today, KTIV Siouxland's News Channel remains a vital source of information, keeping the region well-informed and connected.(Note: As of my last knowledge update in September 2021, I do not have access to real-time information, and ownership of news organizations may change over time. Please verify the current ownership of KTIV Siouxland's News Channel from a reliable source.)

A.I. Ratings

Bias Score

Our A.I. media bias rating of KTIV Siouxland's News Channel shows what policies KTIV Siouxland's News Channel supports and opposes including KTIV Siouxland's News Channel's conservative and liberal leanings based on analysis of three hundred of articles scanned daily using the latest data science and artificial intelligence technologies.

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.

2% Center

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Fair Reliability

*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.

Policy Leanings

Our policy leanings for Fox News show what policies Fox News is biased on based on the sentiment leanings found in their news articles.

N/A

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Fair Reliability

*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.

Reliability

Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.

Grade C 50% Reliable

Analyst Ratings

Bias Score

Biasly’s analyst team evaluates politician twitter accounts, voting records, and statements made in the press to determine leanings. Our diverse analyst team includes equal representation from conservative, center, and liberal viewpoints on every article we rate.

The Analyst Bias Score is 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.

N/A

Author Bias

N/A

Reliability

Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.

N/A