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In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be derived from it. Graphs may be misleading by being excessively complex or poorly constructed.
Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.
Fake news websites are those which intentionally, but not necessarily solely, publish hoaxes and disinformation for purposes other than news satire.Some of these sites use homograph spoofing attacks, typosquatting and other deceptive strategies similar to those used in phishing attacks to resemble genuine news outlets.
Misleading graphs and charts can be identified through careful examination of the data presentation; for example, truncated axes or poor color choices can cause confusion. [71] Reverse image searching can reveal whether images have been taken out of their original context. [ 72 ]
For the Friday article on the campaign’s misleading use of quotations, the campaign declined to address any of the specific examples we raised; instead, spokesperson Karoline Leavitt said ...
The Shorenstein Center at Harvard University defines disinformation research as an academic field that studies "the spread and impacts of misinformation, disinformation, and media manipulation," including "how it spreads through online and offline channels, and why people are susceptible to believing bad information, and successful strategies for mitigating its impact". [23]
Now, with less than a week to go until Election Day, social media users have continued to share misinformation about Trump, from altered images and fake posts to false claims about his court cases ...
Fake news is false or misleading information presented as news. [10] [16] The term as it developed in 2017 is a neologism (a new or re-purposed expression that is entering the language, driven by culture or technology changes). [17]