What do we do about “fake news” and other forms of false information: The roles of the organization of false information, professional ethics and information literacy?

2018 ◽  
Vol 55 (1) ◽  
pp. 719-721
Author(s):  
Shannon M. Oltmann ◽  
Thomas J. Froehlich ◽  
Denise E. Agosto
Keyword(s):  
Information Literacy ◽  
Professional Ethics ◽  
Fake News ◽  
False Information ◽  
Information Professional

Student Experiences with Digital Citizenship: A Comparative Cultural Study

Libri ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jenna Kammer ◽  
Kodjo Atiso ◽  
Edward Mensah Borteye
Keyword(s):  
United States ◽  
Cultural Study ◽  
Undergraduate Students ◽  
Information Literacy ◽  
Technology Use ◽  
Student Experiences ◽  
The Internet ◽  
Digital Citizenship ◽  
Fake News ◽  
Ethical Aspects

Abstract This comparative cultural study examines differences in digital citizenship between undergraduate information literacy students at two different, but similar, universities across the globe from each other. Under the notion that the internet and prevalence of mobile devices allow students to participate online as digital citizens in ways that were impossible before, we use mixed methods to compare the attitudes and experiences of undergraduate students at a university in the midwestern United States (U.S.), with a university on the southwestern coast of Ghana. We also examine the policies related to technology use at these schools. The findings indicate that Ghanaian students had higher levels of digital citizenship. Other findings suggest that network issues are a problem for students in both schools, especially for Ghana, and ethical aspects of internet use, like cyberbullying, hacking, and fake news, deter students from participating online as much as they would like.

scholarly journals Young Spanish Adults and Disinformation: Do They Identify and Spread Fake News and Are They Literate in It?

Publications ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 2
Author(s):  
Aida María de Vicente de Vicente Domínguez ◽  
Ana Beriain Beriain Bañares ◽  
Javier Sierra Sierra Sánchez
Keyword(s):  
Young Adults ◽  
Information Literacy ◽  
Quantitative Method ◽  
Spanish Population ◽  
Fake News ◽  
Know How ◽  
Literacy Training ◽  
Structured Questionnaire ◽  
Do So

The infodiet of young Spanish adults aged 18 to 25 was analysed to determine their attitude towards fake news. The objectives were: to establish whether they have received any training in fake news; to determine whether they know how to identify fake information; and to investigate whether they spread it. The study employed a descriptive quantitative method consisting of a survey of 500 representative interviews of the Spanish population aged between 18 and 25 through a structured questionnaire. The results indicate that they are aware of the importance of training, although generally they do not know of any course and when they do, they do not tend to enroll on one either due to lack of interest or time. These young adults feel that they know how to identify fake content and, moreover, that they know how to do so very well. However, they do not use the best tools. While they do not always verify information, they mainly suspect the credibility of information when it is meaningless. However, they do not tend to spread fake information. We conclude that media information literacy training (MILT) is necessary in educational centres that focuses on the main issues identified.

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.

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>

scholarly journals A family of falsehoods: Deception, media hoaxes and fake news

2018 ◽  
Vol 39 (3) ◽  
pp. 350-361 ◽  
Author(s):  
Teri Finneman ◽  
Ryan J. Thomas
Keyword(s):  
Social Media ◽  
Fake News ◽  
Public Officials ◽  
False Information ◽  
Media Environment ◽  
News Organizations ◽  
Information Spread ◽  
History Of

“Fake news” became a concern for journalists in 2017 as news organizations sought to differentiate themselves from false information spread via social media, websites and public officials. This essay examines the history of media hoaxing and fake news to help provide context for the current U.S. media environment. In addition, definitions of the concepts are proposed to provide clarity for researchers and journalists trying to explain these phenomena.

The impact of the information factor on modern international relations

2021 ◽  
Vol 62 (01) ◽  
pp. 141-146
Author(s):  
Gulnaz Tahir Hasanova ◽  
Keyword(s):  
International Relations ◽  
Outer Space ◽  
Cyber Attacks ◽  
The Internet ◽  
Information Warfare ◽  
Fake News ◽  
False Information ◽  
Fifth Dimension ◽  
Private Actors ◽  
The Impact

This study aims to highlight the growing strategic importance that cyberspace is gaining in the dynamics of international politics. After land, sea, air, and outer space, cyberspace is the fifth dimension of conflict. The type of non-military weapons used to fight, as well as the subjects targeted, make civilian systems new centers of gravity to defend against an enemy that most often "operates in the shadows." The international scenario rmation revolution (which contributed to the "democratization of information"), is radically evolving from a unipolar (American-led) to an almost multipolar architecture. The Internet today is an indispensable communication and information network for various legal and illegal subjects of international relations. Social networks (Facebook, Twitter, Telegram) play a very important role in this process. The Internet can also allow manipulation or even destabilization of the international community with the spread of false information (fake news). It is also a field for intelligence activities. Finally, the Internet is becoming the field of a new form of confrontation. Thus, both states and private actors protect themselves from possible cyber attacks by developing cybersecurity. In anticipation of this, states are developing cyberspace strategies and military-digital capabilities. Key words: international relations, information, cyberspace, cybersecurity, territorial integrity, state, subjects of international relations, information warfare

Fake News and Information Warfare

2019 ◽  
pp. 167-191 ◽  
Author(s):  
Rosanna E. Guadagno ◽  
Karen Guttieri
Keyword(s):  
Presidential Election ◽  
Information Age ◽  
Psychological Research ◽  
Individual Factors ◽  
Cyber Warfare ◽  
Information Warfare ◽  
Fake News ◽  
False Information ◽  
Russian Government ◽  
Key Terms

Fake news—false information passed off as factual—is an effective weapon in the information age. For instance, the Russian government perfected techniques used in its 2007 Estonian and 2008 Georgian cyber campaigns to support Donald Trump's successful candidacy in the 2016 United States presidential election. In this chapter, the authors examine fake news and Russia's cyberwarfare efforts across time as case studies of information warfare. The chapter identifies key terms and reviews extant political science and psychological research related to obtaining an understanding of psychological cyber warfare (“psywar”) through the proliferation of fake news. Specifically, the authors suggest that there are social, contextual, and individual factors that contribute to the spread and influence of fake news and review these factors in this chapter.

Borderline Fields of Information Architecture

2017 ◽  
pp. 1983-2002
Author(s):  
Tibor Koltay
Keyword(s):  
Information Management ◽  
Information Literacy ◽  
Information Overload ◽  
Personal Information ◽  
Information Architecture ◽  
Personal Information Management ◽  
Data Literacy ◽  
Information Professional ◽  
Extended Length ◽  
Complex Relationships

This chapter addresses the complex relationships between information architecture and information overload from the viewpoint of the information professional. It is discussed in the light of information literacy, which cannot be considered without a discussion of other related literacies. Special attention and extended length will be given to data literacy, which is relatively new, but is on the way of gaining particular weight with the growing importance of data-related issues. As borderline fields of information architecture, information overload, the different literacies and personal information management play dissimilar roles. Information overload is the symptom, while well-known approaches and tools of information architecture, information literacy and other literacies, as well as personal information management offer different tools to alleviate these symptoms. Notwithstanding, there is undeniable connection between them, which should be made subject to further research.

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