scholarly journals Understanding the revolt: «Man the Technician» in global rhetoric

2021 ◽  
Vol 34 (4) ◽  
pp. 33-47
Author(s):  
Margarita Núñez-Canal ◽  
Luis Núñez-Ladevéze
Keyword(s):  
Fake News ◽  
False Information ◽  
Global Village ◽  
Communicative Practices ◽  
Rhetorical Tradition ◽  
Face To Face ◽  
Phenomenological Perspective ◽  
Normative Practices ◽  
The Masses ◽  
The Village

We have used quotations that McLuhan cited from the works of Ortega y Gasset, never been commented, for comparing the concurrence between the analyses of the “revolt of the masses” and “return to the village” in the network. This review discerns how both descriptions converge in a framework that fosters the unlimited expansion of face-to-face relationships which, by encouraging remote adherence to virtual identities, fosters a plethora of communicative practices. Internet encourages persuasive stratagems that foster rhetorical turmoil, which makes it impossible to distinguish sound arguments from those that are fallacious, and credible from false information. “Populism,” “fake news,” and “post-truth” suddenly appeared in everyday language as a sign of this rhetorical transience that fosters the collision of identities in the regressive, technological anchor of “back to the tribes” in the “global village.” Having analysed the concomitance of McLuhan and Ortega from a phenomenological perspective, which has into account emotion in the argumentative process, the conclusions focus on proposals for restoring deliberative norms that have become diluted during modernity and whose meaning endures in normative practices akin to the rhetorical tradition.

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 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 GLOBAL SETTLEMENT: THE FATE OF LOCALITY IN RELATION TO MODERN SOCIAL LIFE IN DAGESTAN

2020 ◽  
Vol 15 (4) ◽  
pp. 769-782
Author(s):  
Ekaterina L. Kapustina
Keyword(s):  
Labor Migration ◽  
Social Life ◽  
Alternative View ◽  
Social Changes ◽  
Global Village ◽  
The World ◽  
The Face ◽  
The Republic ◽  
The Village ◽  
Physical Locality

The article performs the current discussion of such categories as local and global in modern anthropology and suggests the option of using categories for the modern sociocultural reality of Dagestan society. The positions of leading researchers, deconstructing the concepts of “locality” and “community”, offering an alternative view of a traditional society rooted in a particular place, are demonstrated. Deterritorized societies in the face of significant social changes in the world (migration, including transnational and translocal, as well as the process of globalization) are becoming a new form of social interaction, where physical locality gives way to other categories linking people into relevant communities. In relation to the Dagestan realities, it is proposed to consider local deterritized societies through the prism of the conceptual metaphor “global village”. The factors contributing to the formation of such deterritorialized communities are shown. It is also shown the example of such a community - the village of Bezhta situated on the bordeland with the Republic of Georgia. A look at the complex of physical localities united by belonging to this mountain village (the village itself, resettlement villages on the plain of Dagestan, families located outside the republic in labor migration and living a translocal life, and also to a lesser extent the village of Chantliskuri in Georgia) as version of the "global village".

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

Entrepreneurial influencers and influential entrepreneurs: two sides of the same coin

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nataly Guiñez-Cabrera ◽  
Claudio Aqueveque
Keyword(s):  
Social Media ◽  
Content Type ◽  
Face To Face ◽  
Phenomenological Perspective ◽  
Incentive Policies ◽  
Entrepreneurship Theory ◽  
Entrepreneurial Activities ◽  
Push And Pull ◽  
Two Sides ◽  
Entrepreneurial Efforts

PurposeDrawing on push and pull entrepreneurship theory, this research investigates how and why social media users become social media influencers (SMIs), a specific type of digital entrepreneur.Design/methodology/approachAdopting a phenomenological perspective and following a process approach, a total of 35 semi-structured face-to-face interviews were conducted with SMIs of different ages, follower numbers and associated with diverse areas of expertise. Subsequently, via interpretative analysis of interviewees' narratives and reasons for becoming SMIs, relevant motivations and events were uncovered and described.FindingsThe findings showcase two types of SMIs: “Entrepreneurial Influencers” and “Influential Entrepreneurs”. Their motivations and the path they followed on their entrepreneurial efforts were also uncovered. Finally, based on these findings, a new entrepreneurial motivational driver is proposed.Practical implicationsPublic entrepreneurial incentive policies should consider SMIs as a specific type of would-be entrepreneurs with some advantage in terms of prominence and reputation, which might help them to successfully initiate and consolidate traditional entrepreneurial activities.Originality/valueThis paper is among the first to examine SMIs from an entrepreneurial perspective, contributing to the nascent digital entrepreneurship literature.

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.

Fake News and Information Warfare

2021 ◽  
pp. 218-242
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.

scholarly journals Informing the personalisation of interventions for parents of children with conduct problems: a qualitative study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Kathy McKay ◽  
Eilis Kennedy ◽  
Rob Senior ◽  
Stephen Scott ◽  
Jonathan Hill ◽  
...  
Keyword(s):  
Conduct Problems ◽  
Evidence Base ◽  
Structured Interviews ◽  
Topic Guide ◽  
Parenting Programme ◽  
Face To Face ◽  
Parents And Children ◽  
Phenomenological Perspective ◽  
Multi Phase ◽  
Purposive Sample

Abstract Background Parenting programmes aim to alleviate behavioural problems in children, including conduct disorder. This study was part of a multi-phase mixed-methods project seeking to extend the reach of parenting programmes for the treatment of conduct problems through developing an evidence base to inform a personalised approach. It explored the narratives of parents of children with behavioural and conduct problems about parenting programmes to identify how such programmes could be personalised in order to extend their reach to parents and children who do not currently benefit. Methods Face-to-face semi-structured interviews with a purposive sample of 42 parents, who had different experiences of parenting programmes. Interviews were conversational and informed by a topic guide. Analysis of transcripts of audio-recorded interviews drew on inductive thematic approaches and was framed largely within a phenomenological perspective. Results Parents’ accounts demonstrated three themes: 1) a personalised approach needs to include the child; 2) a supportive school matters; and, 3) the programme needs to feel personal. Parents were more likely to have a positive experience at a parenting programme, and for their child to demonstrate positive behavioural changes, when they felt their concerns were validated within the group and they also felt supported by the child’s teachers. Parents whose children had been assessed prior to undertaking the programme were also more likely to perceive the programme to be beneficial, compared to parents who felt their child’s individual issues were never considered. Conclusions Our findings point to the potential for personalised approaches to extend the reach of parenting programmes to parents and children who do not currently benefit from such programmes. Important in personalising parenting programmes is assessing children before parents are referred, to directly work with children as well as parents, and to work collaboratively with parents and children to identify which families are most suited to group support or one-to-one support and how this may change depending on circumstances.

scholarly journals Deception through Half-Truths

2020 ◽  
Vol 34 (06) ◽  
pp. 10110-10117
Author(s):  
Andrew Estornell ◽  
Sanmay Das ◽  
Yevgeniy Vorobeychik
Keyword(s):  
Polynomial Time ◽  
Transition Function ◽  
Np Hard ◽  
Fundamental Issue ◽  
Fake News ◽  
False Information ◽  
Important Special Case ◽  
Bayes Network ◽  
Special Case

Deception is a fundamental issue across a diverse array of settings, from cybersecurity, where decoys (e.g., honeypots) are an important tool, to politics that can feature politically motivated “leaks” and fake news about candidates. Typical considerations of deception view it as providing false information. However, just as important but less frequently studied is a more tacit form where information is strategically hidden or leaked. We consider the problem of how much an adversary can affect a principal's decision by “half-truths”, that is, by masking or hiding bits of information, when the principal is oblivious to the presence of the adversary. The principal's problem can be modeled as one of predicting future states of variables in a dynamic Bayes network, and we show that, while theoretically the principal's decisions can be made arbitrarily bad, the optimal attack is NP-hard to approximate, even under strong assumptions favoring the attacker. However, we also describe an important special case where the dependency of future states on past states is additive, in which we can efficiently compute an approximately optimal attack. Moreover, in networks with a linear transition function we can solve the problem optimally in polynomial time.

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