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Fake News
Dr. Ifra Iftikhar
What is Fake News?
We define “fake news” to be fabricated information that mimics news
media content in form but not in organizational process or intent.
Fake-news outlets, in turn, lack the news media’s editorial norms and
processes for ensuring the accuracy and credibility of information.
Fake news overlaps with other information disorders, such as
misinformation (false or misleading information) and disinformation
(false information that is purposely spread to deceive people).
Fake news is parasitic on standard news outlets, simultaneously benefiting from and
undermining their credibility.
First Draft and Facebook—favor the term “false news” because of the use of fake news
as a political weapon
The Historical Setting
Journalistic norms of objectivity and balance arose as a backlash among
journalists against the widespread use of propaganda in World War I
(particularly their own role in propagating it) and the rise of corporate public
relations in the 1920s.
Local and national oligopolies created by the dominant 20th century
technologies of information distribution (print and broadcast) sustained these
norms.
The internet has lowered the cost of entry to new competitors—many of which
have rejected those norms—and undermined the business models of traditional
news sources that had enjoyed high levels of public trust and credibility.
General trust in the mass media collapsed to historic lows in 2016, especially on
the political right.
Geographic polarization of partisan preferences has dramatically increased over the
past 40 years, reducing opportunities for crosscutting political interaction.
Homogeneous social networks, in turn,
reduce tolerance for alternative views,
amplify attitudinal polarization,
boost the likelihood of accepting ideologically compatible news, and
increase closure to new information.
Dislike of the “other side” (affective polarization) has also risen. These trends
have created a context in which fake news can attract a mass audience.
How common is fake news?
● In evaluating the prevalence of fake news, focusing on the original sources—the
publishers—rather than individual stories is preferred, because the defining element
of fake news are the intent and processes of the publisher.
● A focus on publishers also allows one to avoid the morass of trying to evaluate the
accuracy of every single news story.
● An average American encountered between one and three stories from known
publishers of fake news during the month before the 2016 election.
● Another study reported that false information on Twitter is typically retweeted by
many more people, and far more rapidly, than true information, especially when the
topic is politics.
Bots
● By liking, sharing, and searching for information, social bots (automated accounts
impersonating humans) can magnify the spread of fake news by orders of magnitude.
● By one recent estimate—that classified accounts based on observable features such as
sharing behavior, number of ties, and linguistic features—between 9 and 15% of active Twitter
accounts are bots.
● Facebook estimated that as many as 60 million bots may be infesting its platform. They were
responsible for a substantial portion of political content posted during the 2016 U.S.
campaign, and some of the same bots were later used to attempt to influence the 2017 French
election.
● Bots are also deployed to manipulate algorithms used to predict potential engagement with
content by a wider population.
● Indeed, a Facebook white paper reports widespread efforts to carry out this sort of
manipulation during the 2016 U.S. election
Impact of Fake News
● Evaluations of the medium-to-long–run impact on political behavior of exposure
to fake news (for example, whether and how to vote) are essentially nonexistent
in the literature. The impact might be small—evidence suggests that efforts by
political campaigns to persuade individuals may have limited effects.
● However, mediation of much fake news via social media might accentuate its
effect because of the implicit endorsement that comes with sharing. Beyond
electoral impacts, what we know about the effects of media more generally
suggests many potential pathways of influence, from increasing cynicism and
apathy to encouraging extremism.
● There exists little evaluation of the impacts of fake news in these regards.
Fake News Typology
The term “fake news” implies an intentional dimension, a hoax, a deceiving aspect that
delineates it from common mistakes made due to human error (Frank 2015).
In order to better define the term, Wardle (2017) presents a typology that includes the
satire or the parody for the potential to fool the audience;
The misleading content for the deceitful use of information;
The imposter content which implies the impersonation of genuine sources;
The fabricated content which is entirely false and created for deceitful purposes, the false
connection when visuals, captions or headlines are not in line with the content;
The false context when authentic content is shared in a false setting; and
The manipulated content when real information or imagery is transformed in order to
deceive.

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Fake News.pptx

  • 2. What is Fake News? We define “fake news” to be fabricated information that mimics news media content in form but not in organizational process or intent. Fake-news outlets, in turn, lack the news media’s editorial norms and processes for ensuring the accuracy and credibility of information. Fake news overlaps with other information disorders, such as misinformation (false or misleading information) and disinformation (false information that is purposely spread to deceive people).
  • 3. Fake news is parasitic on standard news outlets, simultaneously benefiting from and undermining their credibility. First Draft and Facebook—favor the term “false news” because of the use of fake news as a political weapon
  • 4. The Historical Setting Journalistic norms of objectivity and balance arose as a backlash among journalists against the widespread use of propaganda in World War I (particularly their own role in propagating it) and the rise of corporate public relations in the 1920s. Local and national oligopolies created by the dominant 20th century technologies of information distribution (print and broadcast) sustained these norms. The internet has lowered the cost of entry to new competitors—many of which have rejected those norms—and undermined the business models of traditional news sources that had enjoyed high levels of public trust and credibility. General trust in the mass media collapsed to historic lows in 2016, especially on the political right.
  • 5. Geographic polarization of partisan preferences has dramatically increased over the past 40 years, reducing opportunities for crosscutting political interaction. Homogeneous social networks, in turn, reduce tolerance for alternative views, amplify attitudinal polarization, boost the likelihood of accepting ideologically compatible news, and increase closure to new information. Dislike of the “other side” (affective polarization) has also risen. These trends have created a context in which fake news can attract a mass audience.
  • 6. How common is fake news? ● In evaluating the prevalence of fake news, focusing on the original sources—the publishers—rather than individual stories is preferred, because the defining element of fake news are the intent and processes of the publisher. ● A focus on publishers also allows one to avoid the morass of trying to evaluate the accuracy of every single news story. ● An average American encountered between one and three stories from known publishers of fake news during the month before the 2016 election. ● Another study reported that false information on Twitter is typically retweeted by many more people, and far more rapidly, than true information, especially when the topic is politics.
  • 7. Bots ● By liking, sharing, and searching for information, social bots (automated accounts impersonating humans) can magnify the spread of fake news by orders of magnitude. ● By one recent estimate—that classified accounts based on observable features such as sharing behavior, number of ties, and linguistic features—between 9 and 15% of active Twitter accounts are bots. ● Facebook estimated that as many as 60 million bots may be infesting its platform. They were responsible for a substantial portion of political content posted during the 2016 U.S. campaign, and some of the same bots were later used to attempt to influence the 2017 French election. ● Bots are also deployed to manipulate algorithms used to predict potential engagement with content by a wider population. ● Indeed, a Facebook white paper reports widespread efforts to carry out this sort of manipulation during the 2016 U.S. election
  • 8. Impact of Fake News ● Evaluations of the medium-to-long–run impact on political behavior of exposure to fake news (for example, whether and how to vote) are essentially nonexistent in the literature. The impact might be small—evidence suggests that efforts by political campaigns to persuade individuals may have limited effects. ● However, mediation of much fake news via social media might accentuate its effect because of the implicit endorsement that comes with sharing. Beyond electoral impacts, what we know about the effects of media more generally suggests many potential pathways of influence, from increasing cynicism and apathy to encouraging extremism. ● There exists little evaluation of the impacts of fake news in these regards.
  • 9. Fake News Typology The term “fake news” implies an intentional dimension, a hoax, a deceiving aspect that delineates it from common mistakes made due to human error (Frank 2015). In order to better define the term, Wardle (2017) presents a typology that includes the satire or the parody for the potential to fool the audience; The misleading content for the deceitful use of information; The imposter content which implies the impersonation of genuine sources; The fabricated content which is entirely false and created for deceitful purposes, the false connection when visuals, captions or headlines are not in line with the content; The false context when authentic content is shared in a false setting; and The manipulated content when real information or imagery is transformed in order to deceive.