Fake news on Twitter during the 2016 U.S. presidential election

@article{Grinberg2019FakeNO,
  title={Fake news on Twitter during the 2016 U.S. presidential election},
  author={Nir Grinberg and Kenneth Joseph and Lisa Friedland and Briony Swire‐Thompson and David Lazer},
  journal={Science},
  year={2019},
  volume={363},
  pages={374 - 378}
}
Finding facts about fake news There was a proliferation of fake news during the 2016 election cycle. Grinberg et al. analyzed Twitter data by matching Twitter accounts to specific voters to determine who was exposed to fake news, who spread fake news, and how fake news interacted with factual news (see the Perspective by Ruths). Fake news accounted for nearly 6% of all news consumption, but it was heavily concentrated—only 1% of users were exposed to 80% of fake news, and 0.1% of users were… 

Online disinformation on Facebook: the spread of fake news during the Portuguese 2019 election

ABSTRACT Elections worldwide have been marked by the spread of fake news. Online disinformation is everywhere, used as a political weapon in the battlefield of manipulation. This study focused on the

What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election

It is found that traditional news producers outperformed fake news producers in aggregate, and the prevalence of content produced by fake news publishers increased over the course of the campaign-particularly among tweets that mentioned Clinton, and changes in such prevalence were closely following changes in net Clinton favorability.

You are fake news: political bias in perceptions of fake news

Although the rise of fake news is posing an increasing threat to societies worldwide, little is known about what associations the term ‘fake news’ activates in the public mind. Here, we report a

How Fake News Spreads Online?

Permeating the Internet and reaching millions of users, fake news became a pervasive phenomenon on the public agenda since the US Presidential election in 2016. The term, despite its ambiguity, has

Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter

Abstract The rise of “fake news” is a major concern in contemporary Western democracies. Yet, research on the psychological motivations behind the spread of political fake news on social media is

Fake news zealots: Effect of perception of news on online sharing behavior

Perceived veracity significantly predicts how likely a user is to react, with higher perceived veracity leading to higher reaction rates and that fake news is inherently more likely to be shared than other types of news.

Confusing Effects of Fake News on Clarity of Political Information in the Social Media Environment

ABSTRACT This study investigated whether exposure to fake news leads to more confusion about public affairs and how SNS news use and characteristics of SNSs – network size, political heterogeneity

The relationship between political affiliation and beliefs about sources of “fake news”

It was found that political affiliation influenced people’s descriptions and their beliefs about which news sources are “fake,” which has implications for people”s interpretations of news information and for the extent to which people can be misled by factually incorrect journalism.

Why do so few people share fake news? It hurts their reputation

Four pre-registered experiments suggest that sharing fake news hurt one’s reputation and encourage people to think twice before sharing it.

POST HISTORIES DISCRIMINATE B ETWEEN ACTORS IN THE MISINFORMATION ECOSYSTEM ∗

This work aims to identify individuals who are more likely to share fake- news by studying the language of actors in the fake-news ecosystem, and creating a linguistic profile of them by incorporating psycholinguistic cues as inferred from their tweets into a model of socio-demographic predictors.
...

References

SHOWING 1-10 OF 87 REFERENCES

Social Media and Fake News in the 2016 Election

Following the 2016 U.S. presidential election, many have expressed concern about the effects of false stories (“fake news”), circulated largely through social media. We discuss the economics of fake

Selective exposure to misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign

Though some warnings about online “echo chambers” have been hyperbolic, tendencies toward selective exposure to politically congenial content are likely to extend to misinformation and to be

Prior Exposure Increases Perceived Accuracy of Fake News

It is shown that even a single exposure increases subsequent perceptions of accuracy, both within the same session and after a week, and that social media platforms help to incubate belief in blatantly false news stories and that tagging such stories as disputed is not an effective solution to this problem.

Social Media, News and Political Information during the US Election: Was Polarizing Content Concentrated in Swing States?

It is found that nationally, Twitter users got more misinformation, polarizing and conspiratorial content than professionally produced news and users in some states, however, shared more polarizing political news and information than users in other states.

Exposure to ideologically diverse news and opinion on Facebook

Examination of the news that millions of Facebook users' peers shared, what information these users were presented with, and what they ultimately consumed found that friends shared substantially less cross-cutting news from sources aligned with an opposing ideology.

Social Bots Distort the 2016 US Presidential Election Online Discussion

The findings suggest that the presence of social media bots can indeed negatively affect democratic political discussion rather than improving it, which in turn can potentially alter public opinion and endanger the integrity of the Presidential election.

The spread of true and false news online

A large-scale analysis of tweets reveals that false rumors spread further and faster than the truth, and false news was more novel than true news, which suggests that people were more likely to share novel information.

Hoaxy: A Platform for Tracking Online Misinformation

Haxy is introduced, a platform for the collection, detection, and analysis of online misinformation and its related fact-checking efforts, and a preliminary analysis of a sample of public tweets containing both fake news and fact checking is presented.

Anatomy of news consumption on Facebook

The anatomy of the information space on Facebook is explored by characterizing on a global scale the news consumption patterns of 376 million users over a time span of 6 y, finding that users tend to focus on a limited set of pages, producing a sharp community structure among news outlets.

The science of fake news

Social and computer science research regarding belief in fake news and the mechanisms by which it spreads is discussed, focusing on unanswered scientific questions raised by the proliferation of its most recent, politically oriented incarnation.
...