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In this work, the level of influence of the posts published by famous people on social networks on the formation of the cryptocurrency exchange rate is investigated. Celebrities who are familiar with the financial industry, especially with the cryptocurrency market, or are somehow connected to a certain cryptocurrency, such as Elon Musk with Dogecoin, are chosen as experts whose influence through social media posts on cryptocurrency rates is examined. This research is conducted based on statistical analysis. Real cryptocurrency exchange rate forecasts for the selected time period and predicted ones for the same period, obtained using three algorithms, are utilized as a dataset. This paper uses methods such as statistical hypotheses regarding the significance of Spearman’s rank correlation coefficient and Pearson’s correlation. It is confirmed that the posts by famous people on social networks significantly affect the exchange rates of cryptocurrencies. [ABSTRACT FROM AUTHOR]

This study critically investigates the Dead Internet Theory, emphasizing how it emerged in the context of a changing digital environment. The growing internet seems to have disappeared somewhere between 2016 and 2017. The virtual world appears lifeless due to the growth of automated creatures and AI-generated content. Despite continuing high levels of human creativity and production, the widespread impact of bots raises significant concerns about the basic structure of the internet. Researchers anticipate that the internet will change beyond recognition in the future because to this transformation, which is being driven by apps like GPT-3. This study illuminates the consequences of online interactions by investigating the widespread impact of AI-driven models such as GPTs and the ensuing discussions regarding the dominant position of AI-generated content. This research examines the growing prevalence of artificial intelligence (AI)-generated material, as evidenced by examples like Imperva's Bot Circulation Report, Twitter bots, Elon Musk's Twitter acquiring it, and phony YouTube views. Through the examination of notable cases like the Twitter bot scandal and the widespread trafficking of phony YouTube views, this study adds to a more comprehensive knowledge of the possible consequences of the increasing prevalence of automated entities in the online environment. Our findings predicted that 99.9% of all media may be AI generated, which raised concerns when ChatGPT became available in 2022. Furthermore, Imperva stated in 2016 that 52% of all Internet traffic is bots now, indicating bots replacing humans, forecasting a day when content generated by AI will dominate. This outcome give conformity to the idea of dead internet. [ABSTRACT FROM AUTHOR]

Every utterance produced by a speaker has its own type and function. However, this research focuses on illocutionary speech acts. This research aims to describe the types and functions of illocutionary speech acts in the conversation between Elon Musk and the moderator at TED Talk 2022 and describe the function of these speech acts. This data is in the form of sentences and clauses in conversations between Elon Musk and Chris Anderson which contain illocutionary acts. The data source was collected through observation methods using transcribing and note-taking techniques by watching and listening to video to know the context. The data is analyzed qualitatively using the theory proposed by Searle to study various types of illocutionary acts, followed by the theory proposed by Leech regarding the functions of illocutionary acts. The data analysis method used in this study is constant comparative or often called the equivalent method. The problems in this research are (1) What speech acts are contained in the conversation between Elon Musk and the moderator and (2) What is the function of each utterance. The results show that there are 4 types of speech acts in the conversation between Elon Musk and the moderator, namely (1) Assertive, (2) Directive, (3) Commissive, and (4) Expressive. Based on the function of illocutionary speech, two functions are obtained, namely (1) Collaborative function and (2) Convival function. The researcher suggests that further research needs to be carried out to understand illocutionary acts in conversation to be able to provide information and it is also necessary to pay attention to the context and situation to understand the meaning. [ABSTRACT FROM AUTHOR]

This article investigates a neglected aspect of charismatic authority: the problem of economic practices of charismatic leaders and their communities. Drawing on Weber's classical theory of charisma, I argue that charismatic communities and their ideologies economically operate on principles of gift and bounty. I demonstrate the value of this analysis on a contemporary case of Elon Musk's charisma and his involvement with the Dogecoin cryptocurrency through Twitter. Through analysis of Musk's performances and his admirers' online activity, I argue that to those who believed in Musk, his involvement constituted either a gift to the community or a bounty-hunter-like feat that further enhanced his charismatic authority. [ABSTRACT FROM AUTHOR]

OpenAI is a research organization founded by, among others, Elon Musk, and supported by Microsoft. In November 2022, it released ChatGPT, an incredibly sophisticated chatbot, that is, a computer system with which humans can converse. The capability of this chatbot is astonishing: as well as conversing with human interlocutors, it can answer questions about history, explain almost anything you might think to ask it, and write poetry. This level of achievement has provoked interest in questions about whether a chatbot might have something similar to human intelligence and even whether one could be conscious. Given that the function of a chatbot is to process linguistic input and produce linguistic output, we consider that the most interesting question in this direction is whether a sophisticated chatbot might have inner speech. That is: might it talk to itself, internally? We explored this via a conversation with 'Playground', a chatbot which is very similar to ChatGPT but more flexible in certain respects. We put to it questions which, plausibly, can only be answered if one first produces some inner speech. Here, we present our findings and discuss their philosophical significance. [ABSTRACT FROM AUTHOR]

The cryptocurrency market cap has experienced a great increase in recent years. However, large price fluctuations demonstrate the need for governance structures and identify whether there are market manipulations. In this article, we conduct three analyses—social media data analysis, blockchain data analysis, and price bubble analysis—to investigate whether market manipulation exists on Bitcoin, Ethereum, and Dogecoin platforms. Social media data analysis aims to find the reasons for price fluctuations. Blockchain data analysis is used to find detailed behavior of the manipulators. Price bubble analysis is used to investigate the relation between price fluctuation and manipulators' behavior. By using the three analyses, we show that market manipulation exists on Bitcoin, Ethereum, and Dogecoin. However, market manipulation of Bitcoin is limited, and for most of Bitcoin's price fluctuations, we found other explanations. The price for Ethereum is the most sensitive to technical updates. Technical companies/teams usually hype some new concepts (e.g., ICO, DeFi), which causes a price spike. The price of Dogecoin has a high correlation with Elon Musk's X (formerly known as Twitter) activity, showing that influential individuals have the ability to manipulate its prices. In addition, the poor monetary liquidity of Dogecoin allows some users to manipulate its price. [ABSTRACT FROM AUTHOR]

The article is a review of the book "Elon Musk" by Walter Isaacson. The book provides a narrative biography of Elon Musk, highlighting his leadership qualities and how he has changed the world despite his perceived flaws. The author, a history professor, had the opportunity to shadow Musk for two years to document his work. The book covers Musk's early years, his various business ventures, and his leadership traits and behaviors. Trait theorists will find that Musk's drive, honesty, self-confidence, cognitive ability, and business knowledge align with their notions of effective leadership. However, they may be surprised by Musk's emotional instability. The book also explores Musk's leadership behaviors, including his job-centered management ability and his lack of concern for others. Overall, the book provides a thorough and well-investigated account of Musk's complex character and leadership style, making it useful for leadership scholars, students, and practitioners. [Extracted from the article]

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The current state of social media research struggles to keep pace with a social media ecosystem that features quickly proliferating new platforms and the reinvention of existing platforms. In this perspective article, we encourage social media researchers to adopt systems thinking perspectives to cope with this reality. By thinking systemically, we hope that scholars of social media may be able to uncover complex phenomena that may help to address some of the wicked problems in social media research. We also hope that the field may benefit from scholars discussing the implications of their work in ways that relate to the systemic context of the social media platforms that they study. [ABSTRACT FROM AUTHOR]

Even after Elon Musk announced Twitter Blue, subscription services such as Snapchat+, YouTube Premium and Meta Verified, remain an uncritiqued aspect of social media. Within this article, subscription services on social media take centre stage. This article focuses on three key points: First, subscription services have remained uncritiqued because of the blind spot created by the emphasis on data collection. Second, the Social Media Subscription Model (SMSM) now asserts social media as part of a mixed model (Fuchs 2020, 134) instead of only being considered as an advertising model. Third, applying the classical Marxian twist of capitalism as self-negating, the SMSM is also a structural response to a contradiction of "peak data", meaning how does social media sustain itself if commodifies all data? Stressing the necessity of viewing the SMSM and social media as part of a Mixed Model. [ABSTRACT FROM AUTHOR]

Purpose: The contemporary business environment steered by forces of globalization, digitization and automation can only be navigated by a resilient workforce. This requires inculcating self-leadership (SL) traits in individuals, which will allow them to exercise self-direction and self-motivation required to survive high-strain situations. The SL characteristics most significantly reflected by Musk are self-goal setting, authenticity and responsibility. Least evidence was found for positive self-talk and self-cueing. This study aims to add to the repertoire of leadership studies, furnishing important implications for academia and practice. Design/methodology/approach: In this paper, the authors explore the dimensionality of SL through a systematic literature review. The authors also take the case of Elon Musk, one of the most resilient technopreneurs in the contemporary business world, and scrutinize his journey as a self-leader. Findings: The SL characteristics most significantly reflected by Musk are self-goal setting, authenticity and responsibility. Least evidence was found for positive self-talk and self-cueing. This study adds to the repertoire of leadership studies, furnishing important implications for academia and practice. Originality/value: To the best of the authors' knowledge, this is the first paper to explore the controversial Elon Musk's leadership style through the prism of SL. [ABSTRACT FROM AUTHOR]

In a recent medical breakthrough, Elon Musk's startup company Neuralink implanted the first brain chip in a human patient, purportedly for aiding paralysis. While certainly representing a significant medical milestone for many patients afflicted with debilitating brain and spinal cord injuries, as well as devastating neurodegenerative diseases such as Parkinson's and Alzheimer's, it must be noted that this very same technology can also be manipulated for human memory or cognitive enhancement. What happens if a brain chip were to be developed that can significantly improve either IQ (intelligence quotient) or memory, and these were then implanted in people to enhance their performance in highly competitive national examinations for college entrance or gaining employment in civil service positions? This article therefore discusses the ethical implications of this nascent technology platform, and whether its use in competitive national examinations should be banned. [ABSTRACT FROM AUTHOR]

Are humans destined for mass redundancy? If Elon Musk is right, we may well be. Brian Runciman MBCS and ChatGPT team up to analyse the latest BCS research about AI's capabilities and find a very different story. [ABSTRACT FROM AUTHOR]