How Fake News Differs From Personal Lies

2020 ◽  
pp. 000276422091024
Author(s):  
Ming Ming Chiu ◽  
Yu Won Oh
Keyword(s):  
Social Media ◽  
News Media ◽  
Intimate Relationship ◽  
Detection Methods ◽  
News Article ◽  
Fake News ◽  
Media Companies ◽  
The People ◽  
School Curricula

Personal lies (girl on date lying to dad) and fake news ( Obama Bans Pledge of Allegiance) both deceive but in different ways, so they require different detection methods. People in long-term relationships try to tell undetectable lies to encourage, often, audience inaction. In contrast, unattached fake news welcome attention and try to ignite audience action. Thus, they differ in six ways: (a) speaker–audience relationship, (b) goal, (c) emotion, (d) information, (e) number of participants, and (f) citation of sources. To detect personal lies, a person can use their intimate relationship to heighten emotions, raise the stakes, and ask for more information, participants, or sources. In contrast, a person evaluates the legitimacy of potential fake news by examining the websites of its author, the people in the news article, and/or reputable media sources. Large social media companies have suitable expertise, data, and resources to reduce fake news. Search tools, rival news media links to one another’s articles, encrypted signature links, and improved school curricula might also help users detect fake news.

scholarly journals Influencing Opinions through False Online Information : A Study

2019 ◽  
pp. 443-449
Author(s):  
Baldev Singh
Keyword(s):  
Social Media ◽  
News Media ◽  
Online Information ◽  
Fake News ◽  
False Information ◽  
Detection Algorithms ◽  
Online Social Media ◽  
The People ◽  
Information Detection ◽  
Fake Reviews

Online Social media generates lot of information now-a-days. It is not legitimate information so there are the chances of fake and false information produced using social media. It is very alarming that majority of the people getting news from social media which is very much prone to false information in comparison to traditional news media which is very dangerous to the society. One of the primary reasons to influence opinion through false information is to earn money, name or fame. In this study, the focus is on to highlight false information generated through fake reviews, fake news and hoaxes based on web & social media. It summarized various False information spreading Mechanisms, False Information Detection Algorithms, Mining Techniques for Online False Information to detect and prevent false online information.

scholarly journals Advancing children’s news media literacy: learning from the practices and experiences of young Australians

2018 ◽  
Vol 41 (5) ◽  
pp. 689-707
Author(s):  
Tanya Notley ◽  
Michael Dezuanni
Keyword(s):  
Social Media ◽  
Media Literacy ◽  
News Media ◽  
Social Impact ◽  
Literacy Learning ◽  
Literacy Education ◽  
Fake News ◽  
News Stories ◽  
Media Literacy Education ◽  
Nationally Representative

Social media use has redefined the production, experience and consumption of news media. These changes have made verifying and trusting news content more complicated and this has led to a number of recent flashpoints for claims and counter-claims of ‘fake news’ at critical moments during elections, natural disasters and acts of terrorism. Concerns regarding the actual and potential social impact of fake news led us to carry out the first nationally representative survey of young Australians’ news practices and experiences. Our analysis finds that while social media is one of young people’s preferred sources of news, they are not confident about spotting fake news online and many rarely or never check the source of news stories. Our findings raise important questions regarding the need for news media literacy education – both in schools and in the home. Therefore, we consider the historical development of news media literacy education and critique the relevance of dominant frameworks and pedagogies currently in use. We find that news media has become neglected in media literacy education in Australia over the past three decades, and we propose that current media literacy frameworks and pedagogies in use need to be rethought for the digital age.

scholarly journals Hate in a Tweet: Exploring Internet-Based Islamophobic Discourses

Religions ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 307 ◽  
Author(s):  
Giulia Evolvi
Keyword(s):  
Social Media ◽  
European Union ◽  
Qualitative Analysis ◽  
Union Membership ◽  
News Media ◽  
Fake News ◽  
Global Networks ◽  
Western Values

Islamophobia is the unfounded hostility against Muslims. While anti-Muslim feelings have been explored from many perspectives and in different settings, Internet-based Islamophobia remains under-researched. What are the characteristics of online Islamophobia? What are the differences (if any) between online and offline anti-Muslim narratives? This article seeks to answer these questions through a qualitative analysis of tweets written in the aftermath of the 2016 British referendum on European Union membership (also known as “Brexit”), which was followed by a surge of Islamophobic episodes. The analysis of the tweets suggests that online Islamophobia largely enhances offline anti-Islam discourses, involving narratives that frame Muslims as violent, backward, and unable to adapt to Western values. Islamophobic tweets also have some peculiar characteristics: they foster global networks, contain messages written by so-called “trolls” and “bots,” and contribute to the spreading of “fake news.” The article suggests that, in order to counteract online Islamophobia, it is important to take into account the networked connections among social media, news media platforms, and offline spaces.

Groupon: let's make a deal?

2015 ◽  
Vol 11 (1) ◽  
pp. 26-38
Author(s):  
Susan White
Keyword(s):  
Social Media ◽  
Initial Public Offering ◽  
Content Type ◽  
Media Companies ◽  
Secondary Sources ◽  
Long Run ◽  
Public Offering ◽  
Media Firms ◽  
Term Performance

Synopsis Groupon, an online coupon company, was one of many companies that considered an initial public offering (IPO) during what might be a second technology/internet/social media IPO boom in 2011. Some companies chose to postpone their IPOs, while others took advantage of the media attention focussed on technology companies, and in particular, social media firms. Should investors hop on the tech IPO bandwagon, or hold off to better evaluate the long-term prospects of tech companies, and in particular social media companies? Would the valuation of Groupon justify an investment in IPO shares? Research methodology The case was researched from secondary sources, using Groupon's IPO filing information, news articles about the IPO and industry research sources, such as IBIS World. Relevant courses and levels This case is appropriate for an advanced undergraduate or MBA corporate finance or investment elective. Most introductory finance classes do not have the time to cover later chapters in a finance textbook, where information about IPOs is generally found. It could also be used at the end of a core finance course, where the instructor wanted to introduce this topic through a case study of a hard-to-value internet-based company to illustrate the difficulties in setting IPO prices. The case could also be used in an equity analysis class, an entrepreneurial finance class or an investment class, to spur discussion about valuing an internet company and choosing appropriate investments for pension fund investing. This case could also be used in a strategy class, focussing on the five forces question, and eliminating the valuation question. Theoretical basis There is a great deal of literature about IPOs and their long-term performance. An excellent source is Jay R. Ritter's research, http://bear.warrington.ufl.edu/ritter, which has a longer time period and more data than could be contained in this case. IPO puzzles include persistent undervaluing of IPOs; in other words, the offer price is lower than, and sometimes substantially lower than, the first day close price. A second issue is the generally poorer long-run performance of companies after their IPO when compared to similar firms that did not do an IPO.

Impact of Social Media and Technology Companies on Digital Journalism

2019 ◽  
pp. 147-170
Author(s):  
Şükrü Oktay Kılıç ◽  
Zeynep Genel
Keyword(s):  
Social Media ◽  
News Media ◽  
Business Models ◽  
The Other ◽  
Media Companies ◽  
Digital Journalism ◽  
The World ◽  
Social Media Platforms ◽  
Media And Technology ◽  
The Impact

A handful of social media companies, with their shifting strategies to become hosts of all information available online, have significantly changed the news media landscape in recent years. Many news media companies across the world have gone through reorganizations in a bid to keep up with new storytelling techniques, technologies, and tools introduced by social media companies. With their non-transparent algorithms favoring particular content formats and lack of interest in developing solid business models for publishers, social media platforms, on the other hand, have attracted widespread criticism by many academics and media practitioners. This chapter aims at discussing the impact of social media on journalism with the help of digital research that provides an insight on what storytelling types with which three most-followed news outlets in Turkey gain the most engagement on Facebook.

scholarly journals Do tabloids poison the well of social media? Explaining democratically dysfunctional news sharing

2018 ◽  
Vol 20 (11) ◽  
pp. 4255-4274 ◽  
Author(s):  
Andrew Chadwick ◽  
Cristian Vaccari ◽  
Ben O’Loughlin
Keyword(s):  
Social Media ◽  
Raw Material ◽  
Civic Culture ◽  
News Article ◽  
Fake News ◽  
Individual Level ◽  
The Status ◽  
Twitter Users ◽  
Use Of Social Media ◽  
News Sharing

The use of social media for sharing political information and the status of news as an essential raw material for good citizenship are both generating increasing public concern. We add to the debates about misinformation, disinformation, and “fake news” using a new theoretical framework and a unique research design integrating survey data and analysis of observed news sharing behaviors on social media. Using a media-as-resources perspective, we theorize that there are elective affinities between tabloid news and misinformation and disinformation behaviors on social media. Integrating four data sets we constructed during the 2017 UK election campaign—individual-level data on news sharing ( N = 1,525,748 tweets), website data ( N = 17,989 web domains), news article data ( N = 641 articles), and data from a custom survey of Twitter users ( N = 1313 respondents)—we find that sharing tabloid news on social media is a significant predictor of democratically dysfunctional misinformation and disinformation behaviors. We explain the consequences of this finding for the civic culture of social media and the direction of future scholarship on fake news.

scholarly journals Neural User Response Generator: Fake News Detection with Collective User Intelligence

2018 ◽  
Author(s):  
Feng Qian ◽  
Chengyue Gong ◽  
Karishma Sharma ◽  
Yan Liu
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Early Detection ◽  
Convolutional Neural Network ◽  
Semantic Information ◽  
Experimental Results ◽  
News Article ◽  
Fake News ◽  
Additional Information ◽  
Word Level

Fake news on social media is a major challenge and studies have shown that fake news can propagate exponentially quickly in early stages. Therefore, we focus on early detection of fake news, and consider that only news article text is available at the time of detection, since additional information such as user responses and propagation patterns can be obtained only after the news spreads. However, we find historical user responses to previous articles are available and can be treated as soft semantic labels, that enrich the binary label of an article, by providing insights into why the article must be labeled as fake. We propose a novel Two-Level Convolutional Neural Network with User Response Generator (TCNN-URG) where TCNN captures semantic information from article text by representing it at the sentence and word level, and URG learns a generative model of user response to article text from historical user responses which it can use to generate responses to new articles in order to assist fake news detection. We conduct experiments on one available dataset and a larger dataset collected by ourselves. Experimental results show that TCNN-URG outperforms the baselines based on prior approaches that detect fake news from article text alone.

scholarly journals A simulated cyberattack on Twitter: Assessing partisan vulnerability to spear phishing and disinformation ahead of the 2018 U.S. midterm elections

First Monday ◽  
2018 ◽  
Author(s):  
Michael Bossetta
Keyword(s):  
Social Media ◽  
Private Information ◽  
Right Wing ◽  
Left Wing ◽  
Fake News ◽  
Breaking News ◽  
Media Companies ◽  
Midterm Elections ◽  
Social Media Platforms ◽  
Twitter Users

State-sponsored “bad actors” increasingly weaponize social media platforms to launch cyberattacks and disinformation campaigns during elections. Social media companies, due to their rapid growth and scale, struggle to prevent the weaponization of their platforms. This study conducts an automated spear phishing and disinformation campaign on Twitter ahead of the 2018 United States midterm elections. A fake news bot account — the @DCNewsReport — was created and programmed to automatically send customized tweets with a “breaking news” link to 138 Twitter users, before being restricted by Twitter.Overall, one in five users clicked the link, which could have potentially led to the downloading of ransomware or the theft of private information. However, the link in this experiment was non-malicious and redirected users to a Google Forms survey. In predicting users’ likelihood to click the link on Twitter, no statistically significant differences were observed between right-wing and left-wing partisans, or between Web users and mobile users. The findings signal that politically expressive Americans on Twitter, regardless of their party preferences or the devices they use to access the platform, are at risk of being spear phished on social media.

scholarly journals Analysis on Fake News Detection Methodologies

2020 ◽  
Vol 9 (1) ◽  
pp. 1572-1575
Keyword(s):  
Social Media ◽  
News Media ◽  
Low Cost ◽  
Past Research ◽  
Online News ◽  
Easy Access ◽  
Accurate Information ◽  
Fake News ◽  
The Real ◽  
Online Social Media

Fake news is a coinage often used to refer to fabricated news that uses eye-catching headlines for increased sales rather than legitimate well-researched news, spread via online social media. Emergence of fake news has been increased with the immense use of online news media and social media. Low cost, easy access and rapid dissemination of information lead people to consume news from social media. Since the spread rate of these contents are faster it becomes difficult to identify the fake news from the accurate information. People can download articles from sites, share the content, re-share from others and by the end of the day the false information has gone far from its original site that it becomes very difficult to compare with the real news. It is a long standing problem that affects the digital social media due to its serious threats of misleading information, it creates an immense impact on the society. Hence the identification of such news are relevant and so certain measures needs to be taken in order to reduce or distinguish between the real and fake news. This paper provides a survey on recent past research papers done on this domain and provides an idea on different techniques on machine learning and deep learning that could help in the identification of fake and real news.

scholarly journals COVID-19 Infodemic and Indian Media: An Evaluative Study

2020 ◽  
Author(s):  
Kinshuk Pathak
Keyword(s):  
Social Media ◽  
Analysis Approach ◽  
Fake News ◽  
Evaluative Study ◽  
The People ◽  
News Websites ◽  
Media Professionals ◽  
The Government

The global widespread of novel COVID-19 also witnessed fake news being circulated in social media. Dealing with these infodemic and providing authentic information was a big challenge for the government and media professionals. The present chapter is an attempt towards this direction to evaluate the role and initiatives of Indian media in dealing with fake news and providing authentic information to the people. A desktop analysis approach of news channels, news websites will be used to conduct the study. The study also lists various credible sources, myth busters and fact checkers on COVID-19.

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