Fake News Reporting on Social Media Platforms and Implications for Nation-State Building

2019 ◽  
pp. 95-123
Author(s):  
Emmanuel K. Ngwainmbi
Keyword(s):  
Social Media ◽  
State Building ◽  
Nation State ◽  
Fake News ◽  
News Reporting ◽  
Social Media Platforms

scholarly journals Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 556
Author(s):  
Thaer Thaher ◽  
Mahmoud Saheb ◽  
Hamza Turabieh ◽  
Hamouda Chantar
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Feature Selection ◽  
Language Processing ◽  
User Profile ◽  
Vital Role ◽  
Classification Model ◽  
Fake News ◽  
False Information ◽  
Social Media Platforms

Fake or false information on social media platforms is a significant challenge that leads to deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive information about a person, organization, or service. Twitter is one of the most widely used social media platforms, especially in the Arab region, where the number of users is steadily increasing, accompanied by an increase in the rate of fake news. This drew the attention of researchers to provide a safe online environment free of misleading information. This paper aims to propose a smart classification model for the early detection of fake news in Arabic tweets utilizing Natural Language Processing (NLP) techniques, Machine Learning (ML) models, and Harris Hawks Optimizer (HHO) as a wrapper-based feature selection approach. Arabic Twitter corpus composed of 1862 previously annotated tweets was utilized by this research to assess the efficiency of the proposed model. The Bag of Words (BoW) model is utilized using different term-weighting schemes for feature extraction. Eight well-known learning algorithms are investigated with varying combinations of features, including user-profile, content-based, and words-features. Reported results showed that the Logistic Regression (LR) with Term Frequency-Inverse Document Frequency (TF-IDF) model scores the best rank. Moreover, feature selection based on the binary HHO algorithm plays a vital role in reducing dimensionality, thereby enhancing the learning model’s performance for fake news detection. Interestingly, the proposed BHHO-LR model can yield a better enhancement of 5% compared with previous works on the same dataset.

Governing Fake News: The Regulation of Social Media and the Right to Freedom of Expression in the Era of Emergency

2021 ◽  
pp. 1-41
Author(s):  
Donato VESE
Keyword(s):  
Social Media ◽  
Freedom Of Expression ◽  
Self Regulation ◽  
Public Law ◽  
Fake News ◽  
Human Right ◽  
Social Media Platforms ◽  
Definition Of ◽  
The Right ◽  
Media Censorship

Governments around the world are strictly regulating information on social media in the interests of addressing fake news. There is, however, a risk that the uncontrolled spread of information could increase the adverse effects of the COVID-19 health emergency through the influence of false and misleading news. Yet governments may well use health emergency regulation as a pretext for implementing draconian restrictions on the right to freedom of expression, as well as increasing social media censorship (ie chilling effects). This article seeks to challenge the stringent legislative and administrative measures governments have recently put in place in order to analyse their negative implications for the right to freedom of expression and to suggest different regulatory approaches in the context of public law. These controversial government policies are discussed in order to clarify why freedom of expression cannot be allowed to be jeopardised in the process of trying to manage fake news. Firstly, an analysis of the legal definition of fake news in academia is presented in order to establish the essential characteristics of the phenomenon (Section II). Secondly, the legislative and administrative measures implemented by governments at both international (Section III) and European Union (EU) levels (Section IV) are assessed, showing how they may undermine a core human right by curtailing freedom of expression. Then, starting from the premise of social media as a “watchdog” of democracy and moving on to the contention that fake news is a phenomenon of “mature” democracy, the article argues that public law already protects freedom of expression and ensures its effectiveness at the international and EU levels through some fundamental rules (Section V). There follows a discussion of the key regulatory approaches, and, as alternatives to government intervention, self-regulation and especially empowering users are proposed as strategies to effectively manage fake news by mitigating the risks of undue interference by regulators in the right to freedom of expression (Section VI). The article concludes by offering some remarks on the proposed solution and in particular by recommending the implementation of reliability ratings on social media platforms (Section VII).

scholarly journals Fake and Real News detection Using Python

2020 ◽  
pp. 423-428
Author(s):  
Fakhra Akhtar ◽  
Faizan Ahmed Khan
Keyword(s):  
Social Media ◽  
Fake News ◽  
False Information ◽  
False Negatives ◽  
Mainstream Media ◽  
Social Media Platforms ◽  
The Masses ◽  
Negative Attributes ◽  
Entire Dataset ◽  
F Measure

<p>In the digital age, fake news has become a well-known phenomenon. The spread of false evidence is often used to confuse mainstream media and political opponents, and can lead to social media wars, hatred arguments and debates.Fake news is blurring the distinction between real and false information, and is often spread on social media resulting in negative views and opinions. Earlier Research describe the fact that false propaganda is used to create false stories on mainstream media in order to cause a revolt and tension among the masses The digital rights foundation DRF report, which builds on the experiences of 152 journalists and activists in Pakistan, presents that more than 88 % of the participants find social media platforms as the worst source for information, with Facebook being the absolute worst. The dataset used in this paper relates to Real and fake news detection. The objective of this paper is to determine the Accuracy , precision , of the entire dataset .The results are visualized in the form of graphs and the analysis was done using python. The results showed the fact that the dataset holds 95% of the accuracy. The number of actual predicted cases were 296. Results of this paper reveals that The accuracy of the model dataset is 95.26 % the precision results 95.79 % whereas recall and F-Measure shows 94.56% and 95.17% accuracy respectively.Whereas in predicted models there are 296 positive attributes , 308 negative attributes 17 false positives and 13 false negatives. This research recommends that authenticity of news should be analysed first instead of drafting an opinion, sharing fake news or false information is considered unethical journalists and news consumers both should act responsibly while sharing any news.</p>

Spiritualism and the Resurgence of Fake News

2020 ◽  
pp. 222-237
Author(s):  
Kristy A. Hesketh
Keyword(s):  
Social Media ◽  
Mass Media ◽  
Fake News ◽  
News Stories ◽  
News Reports ◽  
The World ◽  
Spirit World ◽  
Social Media Platforms ◽  
Media Platform ◽  
False News

This chapter explores the Spiritualist movement and its rapid growth due to the formation of mass media and compares these events with the current rise of fake news in the mass media. The technology of cheaper publications created a media platform that featured stories about Spiritualist mediums and communications with the spirit world. These articles were published in newspapers next to regular news creating a blurred line between real and hoax news stories. Laws were later created to address instances of fraud that occurred in the medium industry. Today, social media platforms provide a similar vessel for the spread of fake news. Online fake news is published alongside legitimate news reports leaving readers unable to differentiate between real and fake articles. Around the world countries are actioning initiatives to address the proliferation of false news to prevent the spread of misinformation. This chapter compares the parallels between these events, how hoaxes and fake news begin and spread, and examines the measures governments are taking to curb the growth of misinformation.

scholarly journals Trends in the diffusion of misinformation on social media

2019 ◽  
Vol 6 (2) ◽  
pp. 205316801984855 ◽  
Author(s):  
Hunt Allcott ◽  
Matthew Gentzkow ◽  
Chuan Yu
Keyword(s):  
Social Media ◽  
Relative Magnitude ◽  
Democratic Institutions ◽  
Fake News ◽  
User Interactions ◽  
News Stories ◽  
News Websites ◽  
Social Media Platforms

In recent years, there has been widespread concern that misinformation on social media is damaging societies and democratic institutions. In response, social media platforms have announced actions to limit the spread of false content. We measure trends in the diffusion of content from 569 fake news websites and 9540 fake news stories on Facebook and Twitter between January 2015 and July 2018. User interactions with false content rose steadily on both Facebook and Twitter through the end of 2016. Since then, however, interactions with false content have fallen sharply on Facebook while continuing to rise on Twitter, with the ratio of Facebook engagements to Twitter shares decreasing by 60%. In comparison, interactions with other news, business, or culture sites have followed similar trends on both platforms. Our results suggest that the relative magnitude of the misinformation problem on Facebook has declined since its peak.

scholarly journals The battle to end fake news: A qualitative content analysis of Facebook announcements on how it combats disinformation

2019 ◽  
Vol 82 (1) ◽  
pp. 60-81 ◽  
Author(s):  
Petros Iosifidis ◽  
Nicholas Nicoli
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Culture Media ◽  
Qualitative Content Analysis ◽  
Digital Culture ◽  
Fake News ◽  
Digital Democracy ◽  
Descriptive Account ◽  
The World ◽  
Social Media Platforms

The recent spread of online disinformation has been profound and has played a central role in the growth of populist sentiments around the world. Facilitating its progression has been politically and economically motivated culprits who have ostensibly taken advantage of the digital freedoms available to them. At the heart of these freedoms lie social media organisations that only a few years earlier techno-optimists were identifying as catalysts of an enhanced digital democracy. In order to curtail the erosion of information, policy reform will no doubt be essential. The UK's Department of Digital, Culture, Media and Sport Disinformation and ‘fake news’ Report and Cairncross Review, and the European Commission's Report on Disinformation are three recent examples seeking to investigate how precisely such reform policy might be implemented. Just as important is how social media organisations take on more responsibility and apply self-regulating mechanisms that stifle disinformation across their platforms (something the aforementioned reports identify). Doing so will go a long way in restoring legitimacy in these significant institutions. Facebook (which includes Instagram and Whatsapp), is the largest social media organisation in the world and must primarily bear the burden of this responsibility. The purpose of this article is to offer a descriptive account of Facebook's public announcements regarding how it tackles disinformation and fake news. Based on a qualitative content analysis covering the period November 16th 2016–March 4th 2019, this article will set out some groundwork on how to hold social media platforms more accountable for how they handle disinformation.

scholarly journals Violence and Trolling on Social Media

2020 ◽  
Keyword(s):  
Social Media ◽  
Media Studies ◽  
Digital Communication ◽  
Media History ◽  
Media Discourse ◽  
Fake News ◽  
Life And Death ◽  
Theoretical Approaches ◽  
Social Media Platforms ◽  
Insight Into

‘Trolls for Trump’, virtual rape, fake news — social media discourse, including forms of virtual and real violence, has become a formidable, yet elusive, political force. What characterizes online vitriol? How do we understand the narratives generated, and also address their real-world — even life-and-death— impact? How can hatred, bullying, and dehumanization on social media platforms be addressed and countered in a post-truth world? Violence and Trolling on Social Media: History, Affect, and Effects of Online Vitriol unpacks discourses, metaphors, dynamics, and framing on social media, in order to begin to answer these questions. Written for and by cultural and media studies scholars, journalists, political philosophers, digital communication professionals, activists and advocates, this book connects theoretical approaches from cultural and media studies with practical challenges and experiences ‘from the field’, providing insight into a rough media landscape.

scholarly journals Spreading Fake News in the Virtual Realm in Bangladesh: Assessment of Impact

2020 ◽  
pp. 11-25
Author(s):  
Sharifa Umma Shirina ◽  
Md. Tabiur Rahman Prodhan
Keyword(s):  
Social Media ◽  
Social Impact ◽  
National Election ◽  
Technological Advancement ◽  
Fake News ◽  
Supersonic Speed ◽  
News Reporting ◽  
The Social ◽  
The World ◽  
Acute Crisis

Fake news is ‘false, often sensational, information disseminated under the guise of news reporting.’ The upsurge of technological advancement, especially social media, has paved the way for spreading fake news. The virtual realm spurs fake news as per the speed of air. Nowadays, fake news has been one of the social problems in the world along with Bangladesh. Self-seeker groups use fake news as an ‘atomic arsenal’ to disseminate their popular rhetoric with supersonic speed for fulfilling male purposes. Fake news is usually rampant during any crisis, elections, and even in campaigns. The hoaxers and fakers exploit the opportunity of the wavering psychology of the social media users, and fake news becomes ‘viral’ on social media, Facebook. Recently Bangladesh has faced an acute crisis of spreading fake news during the ‘Movement of Nirapod Sarak Chai, ‘National election in December 2018’ and very recent ‘need child’s head for Padma Bridge.’ This study titled “Spreading Fake News in the Virtual Realm in Bangladesh: Assessment of Impact” seeks the reasons for spreading fake news and its’ social impact in Bangladesh.

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.

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