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Often unlike national media, political science scholars seek to compile long-term data and research on the impact of political issues and voting in U.S. presidential elections, producing in-depth articles breaking down the issues. [citation needed]
United States Secretary of Homeland Security Alejandro Mayorkas being interviewed by CNN in 2021. The CNN effect is a theory in political science and media studies which states that global television networks, in their modern ability to provide live, 24-hours news coverage from anywhere in the world, play a significant role in determining the actions policymakers take and the outcomes of events.
This shift has enabled a more diverse assembly of breaking news, longer reports, and traditional magazine journalism. The increased competition in a diversified media market has led to more human interest and lifestyle stories and less political news, especially in the online versions of the newspapers. [46] [47] [39]
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Former Rep. John Katko, R-N.Y., an ABC News contributor, called the pardons of the Jan. 6 rioters "unsettling" to members of Congress on both sides of the aisle. "They weren't 'hostages,' they ...
CNN has often been the subject of allegations of party bias. The New York Times has described its development of a partisan lean during the tenure of Jeff Zucker. [1] In research conducted by the Shorenstein Center on Media, Politics and Public Policy at Harvard University and the Project for Excellence in Journalism, the authors found disparate treatment by CNN of Republican and Democratic ...
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Whether the spread of fake news has an impact on elections is conflicted as more research is required and is difficult to place a quantification on the effects. However, fake news is more likely to influence individuals who are over 65 and are more conservative. These groups tend to believe fake news more than other groups.