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Examples include doxing, revenge porn, and editing videos to remove important context or content. [23] Misinformation is information that was originally thought to be true but was later discovered not to be true, and often applies to emerging situations in which there is a lack of verifiable information or changing scientific understanding. [24]
As local news outlets have declined, there has been an increase in partisan media outlets that "masquerade" as local news sources. [125] [126] The impact of partisanship and its amplification through the media is documented. For example, attitudes to climate legislation were bipartisan in the 1990s but became intensely polarized by 2010.
Fake news can reduce the impact of real news by competing with it. For example, a BuzzFeed News analysis found that the top fake news stories about the 2016 U.S. presidential election received more engagement on Facebook than top stories from major media outlets. [13] It also particularly has the potential to undermine trust in serious media ...
The most common form of misinformation interventions rooted in inoculation theory are pre-bunking and gamified interventions that seek to inform the participant about the various ways that misinformation appears online. Examples of gamified interventions include Bad News, Harmony Square, and Go Viral!, among others. [7]
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]
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Fake news and similar false information (misinformation or disinformation [1]) is fostered and spread across India through word of mouth, traditional media and more recently through digital forms of communication such as edited videos, websites, blogs, memes, unverified advertisements and social media propagated rumours.
According to Derakhshan, examples of malinformation can include "revenge porn, where the change of context from private to public is the sign of malicious intent", or providing false information about where and when a photograph was taken in order to mislead the viewer [3] (the picture is real, but the meta-information and its context is changed).