4 datasets found
  1. Bias and fact-checking in news in the U.S. 2022

    • statista.com
    Updated Nov 22, 2024
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    Statista (2024). Bias and fact-checking in news in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/874821/news-media-bias-perceptions/
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    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 31, 2022 - Jul 21, 2022
    Area covered
    United States
    Description

    A survey from July 2022 asked Americans how they felt about the effects of bias in news on their ability to sort out facts, and revealed that 50 percent felt there was so much bias in the news that it was difficult to discern what was factual from information that was not. This was the highest share who said so across all years shown, and at the same time, the 2022 survey showed the lowest share of respondents who believed there were enough sources to be able to sort out fact from fiction.

  2. Credibility of CNN in the U.S. 2022

    • statista.com
    Updated Jun 14, 2023
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    Statista (2023). Credibility of CNN in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/239743/cnns-credibility-in-the-united-states/
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    Dataset updated
    Jun 14, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 9, 2022 - Feb 10, 2022
    Area covered
    United States
    Description

    A survey held in the United States in 2022 showed that 23 percent of responding adults believed CNN to be very credible, whereas 20 percent said that they did not consider CNN credible at all. Opinions on news media tend to vary according to readers’ political stance, age, educational background, and myriad other factors, and in an age where fake news is a growing problem, consumers are demonstrating a higher degree of awareness of how and where they access their news.

    Navigating news media in the United States

    In 2021, ABC was considered the most credible major news organization in the United States, followed closely by CBS and NBC. By comparison, just 31 percent of surveyed U.S. adults thought of Huffington Post as a credible news source, and National Public Radio and MSNBC did not fare much better. Credibility is important – there are serious concerns about the accuracy of news stories and a study revealed that most Americans believed that fake news causes a great deal of confusion about basic facts. Accurate reporting as a result of proper research and fact-checking is more in demand than ever, as consumers grow increasingly concerned about the trustworthiness of traditional and modern news sources. What does this mean for news networks As one of the leading cable news networks in the U.S., CNN is a powerful news source and its content is consumed by hundreds of thousands of people per day, meaning that the news channel has a certain degree of responsibility. Failure to deliver clear, accurate, unbiased content to consumers can detrimentally affect ratings, and in an environment as competitive as the news media market, the pressure is on to cater to new and existing viewers alike and deliver reliable, non-partisan content.

  3. d

    Replication Data for: Projection in the Face of Centrism: Voter Inferences...

    • search.dataone.org
    Updated Nov 8, 2023
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    Kevins, Anthony; Lee, Seonghui (2023). Replication Data for: Projection in the Face of Centrism: Voter Inferences about Candidates’ Party Affiliation in Low-information Contexts [Dataset]. http://doi.org/10.7910/DVN/HJDUMY
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kevins, Anthony; Lee, Seonghui
    Description

    When are voters more likely to project their own political position onto a candidate for office? We investigate this question by examining the assumed partisanship of a (self- declared) centrist politician, using data from a survey experiment fielded in Canada, the United Kingdom, and the United States. In doing so, we build on the social categorization model as well as recent U.S.- focused political science research on projection and ingroup/outgroup racial divides— extending our analysis to incorporate racial and class similarities/differences across three countries where these divides likely vary in salience. We thus seek: (1) to contribute to research on the inferences citizens draw in nonpartisan elections and low- information contexts generally and (2) to highlight some potential methodological complications of using partisanship- less candidates in vignette experiments. Results suggest that even in the face of a self- declared centrist, voters from across the political spectrum tended to assume shared partisanship in Canada, the United Kingdom, and the United States. Examining projection by ingroup/outgroup divisions indicated that class appears to shape projection across all three countries, but that the racial divide only mattered in the United States. Finally, we also find evidence of counterprojection toward outgroup members— but once again only in the American context.

  4. N

    Donations to Not-for-Profit Organizations Affiliated with Elected Officials

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Mar 18, 2020
    + more versions
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    Conflicts of Interest Board (COIB) (2020). Donations to Not-for-Profit Organizations Affiliated with Elected Officials [Dataset]. https://data.cityofnewyork.us/City-Government/Donations-to-Not-for-Profit-Organizations-Affiliat/dx8z-6nev
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    application/rssxml, tsv, csv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Mar 18, 2020
    Dataset authored and provided by
    Conflicts of Interest Board (COIB)
    Description

    Pursuant to the Affiliated Not-for-Profits Law, found in Chapter 9 of Title 3 of the New York City Administrative Code, a not-for-profit organization affiliated with an elected official must report to COIB annually information about certain donations received. Specifically, “restricted" organizations (that is, organizations that spend at least 10% of their expenditures on communications featuring the name, voice, or likeness of the affiliated elected official) are required to report information about any donation from the household of a person listed in the City’s Doing Business Database, as well as any other donation of $1,000 or more. All other "unrestricted" organizations are required to report information about donations of $5,000 or more. This dataset includes the names of donors; the value of the donation; the date of the donation; and a description of the donation.

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Statista (2024). Bias and fact-checking in news in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/874821/news-media-bias-perceptions/
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Bias and fact-checking in news in the U.S. 2022

Explore at:
Dataset updated
Nov 22, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
May 31, 2022 - Jul 21, 2022
Area covered
United States
Description

A survey from July 2022 asked Americans how they felt about the effects of bias in news on their ability to sort out facts, and revealed that 50 percent felt there was so much bias in the news that it was difficult to discern what was factual from information that was not. This was the highest share who said so across all years shown, and at the same time, the 2022 survey showed the lowest share of respondents who believed there were enough sources to be able to sort out fact from fiction.

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